<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.166812.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Uncovering fertility potential: Clinical and histopathological insights from testicular biopsies in azoospermic men in a large Indonesian cohort</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 2 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Parikesit</surname>
                        <given-names>Dyandra</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-5779-2713</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Achmadsyah</surname>
                        <given-names>Armand</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-7831-0610</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Rahmat</surname>
                        <given-names>Favian Ariiq</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sihotang</surname>
                        <given-names>Retta Catherina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-8076-8586</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Wibowo</surname>
                        <given-names>Heri</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kekalih</surname>
                        <given-names>Aria</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Yunaini</surname>
                        <given-names>Luluk</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>.</surname>
                        <given-names>Asmarinah</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Chung</surname>
                        <given-names>Eric</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-3373-3668</uri>
                    <xref ref-type="aff" rid="a8">8</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Birowo</surname>
                        <given-names>Ponco</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2934-6753</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                    <xref ref-type="aff" rid="a9">9</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Urology, Universitas Indonesia Hospital, Depok, West Java, 16424, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Doctoral Program in Medical Sciences Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia</aff>
                <aff id="a4">
                    <label>4</label>Department of Urology, Cipto Mangunkusumo Hospital, Central Jakarta, Jakarta, 10430, Indonesia</aff>
                <aff id="a5">
                    <label>5</label>Metabolic Disorder, Cardiovascular, and Aging Research Center, Indonesia Medical Education &amp; Research Institute (IMERI), Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia</aff>
                <aff id="a6">
                    <label>6</label>Community Medicine Department, Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia</aff>
                <aff id="a7">
                    <label>7</label>Department of Medical Biology, Faculty of Medicine, Universitas Indonesia, Central Jakarta, Jakarta, 10430, Indonesia</aff>
                <aff id="a8">
                    <label>8</label>Department of Urology, Princess Alexandra Hospital, University of Queensland, Brisbane, QLD, 4102, Australia</aff>
                <aff id="a9">
                    <label>9</label>Indonesian Reproductive Science Institute, Bunda Hospital, Central Jakarta, Jakarta, 10350, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:ponco.birowo@gmail.com">ponco.birowo@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>18</day>
                <month>3</month>
                <year>2026</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2026</year>
            </pub-date>
            <volume>15</volume>
            <elocation-id>25</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>26</day>
                    <month>2</month>
                    <year>2026</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Parikesit D et al.</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/15-25/pdf"/>
            <abstract>
                <sec>
                    <title>Objective</title>
                    <p>This study aims to evaluate spermatogenic failure in azoospermic men by characterizing patterns in Modified Johnsen Scores from testicular biopsies, examining their correlation with clinical and hormonal parameters, and determining the probability of live sperm retrieval.</p>
                </sec>
                <sec>
                    <title>Novelty</title>
                    <p>As one of the largest datasets on azoospermia in Indonesia, this study provides a comprehensive histopathological and hormonal profile of azoospermic patients, while also emphasizing the diagnostic value of bilateral testicular biopsies&#x2014;an area often underexplored in Southeast Asian populations.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A retrospective analysis was conducted on azoospermic patients who underwent bilateral testicular biopsies between April 2011 and July 2024. Testicular tissue samples were assessed using the Modified Johnsen scoring system (range: 1 to 10), and classified histopathologically from tubular fibrosis to complete spermatogenesis. Clinical parameters, including age, body mass index, sperm retrieval outcomes, and serum levels of follicle-stimulating hormone, luteinizing hormone, and testosterone, were collected and analyzed. Statistical associations between these parameters and histopathological subtypes were determined using significance testing.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>A total of 409 testicular biopsies were evaluated. The most frequent Modified Johnsen Scores were 7 (20%) and 5 (16.6%). Histopathological analysis showed that 40.3% of cases exhibited spermatogenic arrest, while only 7% demonstrated normal spermatogenesis. Discordant histopathological patterns between the two testes were observed in 18.5% of patients. Follicle-stimulating hormone and luteinizing hormone levels showed statistically significant associations with histopathological subtypes (p &lt; 0.001). Age, body mass index, and testosterone levels did not correlate significantly.</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>Spermatogenic arrest is the predominant abnormality in azoospermic men, with hormonal variations&#x2014;particularly in follicle-stimulating hormone and luteinizing hormone&#x2014;strongly associated with testicular pathology. The discordant histology between the testes underscores the importance of bilateral biopsies. Higher Modified Johnsen Scores were positively correlated with the likelihood of successful sperm retrieval.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Azoospermia</kwd>
                <kwd>infertility</kwd>
                <kwd>male</kwd>
                <kwd>histology</kwd>
                <kwd>sperm retrieval</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>HIBAH PUTI 2024 Universitas Indonesia</funding-source>
                    <award-id>NKB-289/UN2.RST/HKP.05.00/2024</award-id>
                </award-group>
                <funding-statement>This work was supported by HIBAH PUTI 2024 Universitas Indonesia NKB-289/UN2.RST/HKP.05.00/2024. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>1. Spermatogenic arrest (SA) cases have been stratified by specific Modified Johnsen (MJ) scores to distinguish pre-meiotic, early, and late arrest, improving histopathological precision. 2. The Methods section has been clarified (number of tubules evaluated), and interobserver variability is now acknowledged as a limitation. 3. ROC curve analyses have been added to determine clinically relevant FSH cut-off values for predicting SCOP and tubular fibrosis. 4. A multivariate logistic regression model has been incorporated; histopathology remained the only independent predictor of sperm retrieval, while hormonal parameters were not independently predictive. 5. Bilateral discordance findings have been further contextualized, with limitations regarding laterality-specific sperm retrieval acknowledged. 9. Dataset size claims have been moderated. 10. A typographical error in age reporting has been corrected. 11. The discussion of HbA1c has been expanded to clarify its limited prognostic role in surgical sperm retrieval.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec6" sec-type="intro">
            <title>Introduction</title>
            <p>Infertility affects a significant proportion of couples worldwide and has been reported in around 17.5% of adults worldwide, according to the World Health Organization (WHO).
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Among male infertility cases, 10&#x2013;15% of males reported having azoospermia&#x2014;a condition characterized by the absence of sperm in ejaculate&#x2014;which represents a severe manifestation that challenges fertility interventions.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Supporting this, a study conducted in Jakarta, Indonesia involving 1,062 male infertility patients revealed that only 5.13% had normal semen parameters, with the majority of abnormalities attributed to azoospermia. Beyond its clinical significance, male infertility carries profound psychosocial, economic, and reproductive consequences. Affected individuals often experience psychological distress, social stigma, and a diminished sense of self-worth. Economically, infertility imposes substantial costs, particularly in low- and middle-income countries where access to assisted reproductive technologies (ART) remains limited.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Understanding the underlying causes and identifying fertility potential in azoospermic men have led to increasing reliance on testicular biopsy as a diagnostic and prognostic tool.</p>
            <p>The diagnostic evaluation of male infertility generally begins with hormonal profiling, semen analysis, and scrotal ultrasonography. Hormonal tests&#x2014;particularly levels of follicle-stimulating hormone (FSH), luteinizing hormone (LH), and testosterone&#x2014;offer insights into the endocrine regulation of spermatogenesis. Histopathological evaluation of testicular biopsies provides crucial insights into spermatogenic function. Research has revealed that despite severe testicular dysfunction, isolated spermatogenic foci are often present. This allows assisted reproductive technologies (ART) such as testicular sperm extraction (TESE) or micro-TESE (TESE using the aid of a surgical microscope) combined with intracytoplasmic sperm injection (ICSI) to achieve successful fertilization and pregnancy outcomes.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Moreover, the ability to differentiate obstructive from nonobstructive azoospermia through endocrine and histological assessments has refined patient counselling and treatment approaches.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>The success rate of the micro-TESE procedure is associated with the characteristics of the treated population, primarily age and histological patterns in the testes.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> A comprehensive histopathological report from a diagnostic testicular biopsy is essential for the prognosis of the micro-TESE procedure.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> The predominant morphological patterns observed in the testicular biopsies of NOA patients after unsuccessful sperm retrieval during a micro-TESE procedure include hypospermatogenesis (HS), Spermatogenic Arrest (SA), Sertoli Cells Only Phenotype (SCOP), and Tubular Fibrosis (TF). These patterns represent varying degrees of spermatogenic failure, each with distinct implications for fertility outcomes. For instance, patients with hypospermatogenesis typically have the highest chance of sperm retrieval, while those with tubular fibrosis have the lowest. Moreover, these histopathological findings often correlate with hormonal profiles. Elevated follicle-stimulating hormone (FSH) and luteinizing hormone (LH) levels are commonly associated with severe germ cell depletion in SCOP and TF, whereas more favorable patterns, such as HS may present with relatively normal hormonal levels. However, such correlations are not absolute. Hormonal markers and testicular size alone often fail to accurately predict focal spermatogenesis. Consequently, histopathological analysis is essential for appropriately selecting patients for the &#x201c;second look&#x201d; micro-TESE procedure, enhancing the likelihood of successful infertility treatment.</p>
            <p>In Indonesia, a country with unique demographic and healthcare challenges, investigating testicular biopsy outcomes in azoospermic men provides valuable insights into the interplay between clinical, endocrinological, and histopathological variables. Despite global advances in male infertility research, Southeast Asia remains underrepresented in the literature, with a notable lack of large-scale studies exploring testicular histopathology among azoospermic populations. The prevalence in Indonesia or other Southeast Asian countries remains unavailable. This study aims to uncover fertility potential within a large cohort of Indonesian men by analyzing testicular biopsy results, exploring correlations with endocrine parameters, and evaluating the utility of these findings for improving ART outcomes. Given Indonesia&#x2019;s vast population, genetic diversity, and regional disparities in healthcare access, population-specific data are urgently needed to develop locally relevant diagnostic algorithms and fertility treatment strategies.</p>
        </sec>
        <sec id="sec7" sec-type="methods">
            <title>Methods</title>
            <sec id="sec8">
                <title>Study design and setting</title>
                <p>This cross-sectional study included testicular biopsies from patients diagnosed with non-obstructive azoospermia (NOA) who underwent testicular sperm extraction (TESE) or micro-TESE. The procedures were performed at two tertiary care centers in Jakarta, Indonesia: Cipto Mangunkusumo National Referral Hospital and Bunda General Hospital, spanning from January 2009 to March 2024.</p>
            </sec>
            <sec id="sec9">
                <title>Ethics considerations</title>
                <p>The study design was approved by the Health Research Ethics Committee &#x2013; Faculty of Medicine Universitas Indonesia and Cipto Mangunkusumo Hospital (HREC-FMUI/CMH), which waived the requirement for obtaining informed consent, as this was a retrospective study utilizing fully anonymized clinical and histopathological data. The approval was granted under the ethical No. KET-1719/UN2.F1/ETIK/PPM.00.02/2024; Protocol ID: 24-11-1740.</p>
            </sec>
            <sec id="sec10">
                <title>Sample size and sampling method</title>
                <p>This study employed a retrospective cross-sectional design using total sampling of azoospermic patients who underwent testicular biopsy at RSUPN Cipto Mangunkusumo between January 2010 and November 2024. Sample size was calculated using a correlation formula with a significance level of 95% (Z&#x03b1; = 1.96), power of 80% (Z&#x03b2; = 0.84), and an assumed correlation coefficient (r) of 0.5. Based on the formula:
                    <disp-formula id="e1">

                        <mml:math display="block">
                            <mml:mi mathvariant="bold">n</mml:mi>
                            <mml:mo>=</mml:mo>
                            <mml:mfrac>
                                <mml:mrow>
                                    <mml:msup>
                                        <mml:mrow>
                                            <mml:mo stretchy="true">(</mml:mo>
                                            <mml:msub>
                                                <mml:mi mathvariant="bold">Z</mml:mi>
                                                <mml:mrow>
                                                    <mml:mi mathvariant="bold">&#x03b1;</mml:mi>
                                                    <mml:mo>/</mml:mo>
                                                    <mml:mn mathvariant="bold">2</mml:mn>
                                                </mml:mrow>
                                            </mml:msub>
                                            <mml:mo>+</mml:mo>
                                            <mml:msub>
                                                <mml:mi mathvariant="bold">Z</mml:mi>
                                                <mml:mi mathvariant="bold">b</mml:mi>
                                            </mml:msub>
                                            <mml:mo stretchy="true">)</mml:mo>
                                        </mml:mrow>
                                        <mml:mn mathvariant="bold">2</mml:mn>
                                    </mml:msup>
                                    <mml:mo>&#x00d7;</mml:mo>
                                    <mml:msup>
                                        <mml:mrow>
                                            <mml:mo stretchy="true">(</mml:mo>
                                            <mml:mn mathvariant="bold">1</mml:mn>
                                            <mml:mo>+</mml:mo>
                                            <mml:mi mathvariant="bold">r</mml:mi>
                                            <mml:mo stretchy="true">)</mml:mo>
                                        </mml:mrow>
                                        <mml:mn mathvariant="bold">2</mml:mn>
                                    </mml:msup>
                                    <mml:mspace width="0.25em"/>
                                </mml:mrow>
                                <mml:msup>
                                    <mml:mi mathvariant="bold">r</mml:mi>
                                    <mml:mn mathvariant="bold">2</mml:mn>
                                </mml:msup>
                            </mml:mfrac>
                        </mml:math>
</disp-formula>The minimum required sample size was 71 patients. However, all eligible patients meeting the inclusion criteria were included to enhance the study&#x2019;s power and representativeness.</p>
            </sec>
            <sec id="sec11">
                <title>Eligibility criteria</title>
                <p>

                    <italic toggle="yes">Inclusion criteria</italic>
                </p>
                <p>Azoospermic patients who underwent sperm retrieval procedures (TESE and micro-TESE) at Cipto Mangunkusumo National General Hospital (RSUPN Cipto Mangunkusumo) between 2010 and 2024. Patients were required to have complete data, including hormonal profiles (FSH, LH, testosterone), metabolic data (BMI, total cholesterol, HDL, LDL, triglycerides), ultrasonographic findings (varicocele presence and the longest testicular axis), and testicular histopathological results.</p>
                <p>

                    <italic toggle="yes">Exclusion criteria</italic>
                </p>
                <p>Patients with severe cardiac or pulmonary insufficiency, significant coagulation disorders, no prior history of sperm retrieval procedures, incomplete medical records, or those who refused consent for surgical procedures were excluded from the study.</p>
            </sec>
            <sec id="sec12">
                <title>Data collection/study procedure</title>
                <p>Patient demographics, including age and laboratory results, were extracted from medical records. All testicular specimens were processed using standard protocols: fixation in Bouin&#x2019;s Fluid, staining with Hematoxylin and Eosin (HE), and histological assessment via light microscopy. Biopsies were classified into four histological patterns: hypospermatogenesis (HS), spermatogenic arrest (SA), Sertoli cell-only phenotype (SCOP), and tubular fibrosis (TF).
                    <sup>
                        <xref ref-type="bibr" rid="ref6">6</xref>,
                        <xref ref-type="bibr" rid="ref7">7</xref>
                    </sup> Discordant biopsy was defined as a difference in histopathological patterns between the right and left testes.</p>
                <p>Each testicular biopsy sample was evaluated using the Modified Johnsen (MJ) scoring system (
                    <xref ref-type="table" rid="T1">
Table 1</xref>), a semi-quantitative scale ranging from 1 to 10 that reflects the degree of spermatogenic activity within seminiferous tubules.
                    <sup>
                        <xref ref-type="bibr" rid="ref8">8</xref>
                    </sup> A score of 10 indicates complete and normal spermatogenesis, while a score of 1 reflects complete absence of germ cells with tubular fibrosis. In cases where bilateral discordance was observed, the higher score (i.e., the side with more favorable histological features) was used for classification. For analytical purposes, scores were categorized as follows: normal spermatogenesis (MJ &gt;8), hypospermatogenesis (HS) (MJ = 7), spermatogenic arrest (SA) (MJ 6&#x2013;3), Sertoli cell-only phenotype (SCOP) (MJ = 2), and tubular fibrosis (TF) (MJ = 1).
                    <sup>
                        <xref ref-type="bibr" rid="ref9">9</xref>,
                        <xref ref-type="bibr" rid="ref10">10</xref>
                    </sup> Due to the retrospective nature of the historical pathology reports, Spermatogenic Arrest (SA) was initially categorized as a single broad group (MJ 3&#x2013;6) without formal subclassification into early or late maturation arrest. Representative histological images for each MJ score category were captured at 400&#x00d7; magnification and presented in 
                    <xref ref-type="fig" rid="f1">
Figure 1</xref>. During the histological assessment, all intact and clearly identifiable seminiferous tubules within the cross-section (typically ranging from 20 to 50 tubules per biopsy) were evaluated to determine the most representative Modified Johnsen score.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>Modified Johnsen score for assessment of spermatogenesis.
                            <sup>
                                <xref ref-type="bibr" rid="ref1">1</xref>
                            </sup>
                        </title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Score</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
Level of spermatogenesis</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No seminiferous epithelium, prominent sclerosis</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Only Sertoli cells present</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Spermatogonia present without other element of spermatogenesis</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Spermatogenesis arrested at the level of primary spermatocyte</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Many spermatocytes, no sperm or spermatids</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Only few early spermatids without late spermatids or spermatozoa</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">No late spermatids and sperm; many early spermatids</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Reduced number of sperm with less than 5 spermatozoa per tubules and a few late spermatids</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Incomplete spermatogenesis with many late spermatids</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Full spermatogenesis</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Histological representation of modified Johnsen scoring system on human testicular tissue.</title>
                        <p>This image depicts a histological section of human testicular tissue evaluated using MJ scoring system. The scoring system assesses spermatogenic activity based on the arrangement and presence of different cell types within the seminiferous tubules. A. Score 9: Complete spermatogenesis with a dense layer of spermatozoa filling the tubule lumen. The tubule shows regular spermatogenic activity with all stages of germ cell development, including spermatogonia, spermatocytes, spermatids, and spermatozoa. B. Score 8: Complete spermatogenesis with spermatozoa present but in reduced density compared to score 9. C. Score 7: Presence of spermatids and earlier germ cell stages, but no spermatozoa observed in the tubule lumen. D. Score 6: Presence of spermatocytes and earlier germ cell stages, but no spermatids or spermatozoa. E. Score 5: Presence of spermatogonia only, without progression to more advanced stages of spermatogenesis. F. Score 4: Sertoli cells and very few spermatogonia, with no active spermatogenesis. G. Score 3: Only Sertoli cells are observed in the seminiferous tubules; all germ cells are absent. This is referred to as the Sertoli-cell-only Phenotype. H. Score 2: Tubules contain minimal structures and show signs of degeneration, with severely atrophic features. Sertoli cells may be present, but germ cells are absent. I. Score 1: Complete fibrosis of the seminiferous tubules. Both germ cells and Sertoli cells are absent, indicating end-stage testicular damage. Sertoli Cells (Ser): Supporting somatic cells, identified by their elongated nuclei. Spermatogonia (Spg): Basally located germ cells involved in the initiation of spermatogenesis. Primary Spermatocytes (Spt): Larger cells undergoing meiotic division, positioned centrally within the tubule. Spermatids (Spd): Small, round cells indicative of advanced stages of spermatogenesis. Spermatozoa (Spz): Mature germ cells aligned along the lumen of the tubule. * Empty cell in seminiferous tubules.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/197124/9d68a792-dce5-4891-85ec-61362e28ba5c_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec13">
                <title>Study variables</title>
                <p>Clinical and laboratory parameters evaluated included body mass index (BMI), Glycated hemoglobin (HbA1c), FSH, LH, and testosterone levels. BMI was calculated from recorded weight and height. HbA1c was considered normal below 5.7%.
                    <sup>
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> Hormone reference ranges were: FSH (1.5&#x2013;12.4 mIU/mL), LH (2&#x2013;9 IU/L), and testosterone (2.49&#x2013;8.36 ng/mL). These variables were analyzed for their potential correlation with histopathological findings.</p>
                <p>

                    <italic toggle="yes">Blood collection and analysis</italic>
                </p>
                <p>Clinical and laboratory testing were done before the procedure and analyzed to evaluate its relationship with the histopathological results. Venous blood samples were obtained from all patients prior to the testicular biopsy procedure using standard sterile techniques. Blood was collected into serum separator tubes (SST) for hormonal assays (FSH, LH, testosterone) and EDTA tubes for HbA1c analysis. Serum samples were allowed to clot at room temperature, then centrifuged at 3000 rpm for 10 minutes. The serum was aliquoted into labeled cryotubes and stored at &#x2013;20&#x00b0;C for short-term or &#x2013;80&#x00b0;C for long-term preservation until analysis. EDTA samples for HbA1c were stored at 4&#x00b0;C and analyzed within 24 hours.</p>
                <p>Hormonal assays were conducted in an accredited clinical laboratory using standard immunoassays. The normal reference ranges used were: FSH (1.5&#x2013;12.4 mIU/mL), LH (2&#x2013;9 IU/L), and testosterone (2.49&#x2013;8.36 ng/mL). HbA1c values below 5.7% were considered normal.
                    <sup>
                        <xref ref-type="bibr" rid="ref10">10</xref>
                    </sup> All laboratory tests followed internal and external quality control standards to ensure reliability and reproducibility. BMI was calculated and recorded as continuous data. Metabolic markers including lipid profiles were also assessed to evaluate their association with histopathological outcomes.</p>
            </sec>
            <sec id="sec14">
                <title>Statistical analysis</title>
                <p>The data were statistically analyzed using IBM SPSS Statistics version 29.0.2.0. They were analyzed by type using the Chi-square test, multinomial logistic regression, and ANOVA test, as applicable. For multinomial outcomes, multinomial logistic regression was applied to identify associations between histopathological patterns and hormonal levels. Furthermore, receiver operating characteristic (ROC) curve analysis was performed to determine optimal cut-off values, sensitivity, specificity, and area under the curve (AUC) for FSH and LH in predicting severe histopathological patterns, specifically SCOP and TF. Optimal cut-offs were determined using the maximum Youden&#x2019;s Index. Additionally, a multivariate logistic regression analysis was conducted to evaluate independent predictors of successful sperm retrieval, including age, BMI, hormonal levels (FSH, LH, testosterone), and histopathological classification. A p-value of &lt;0.05 was considered statistically significant. All tests were two-tailed.</p>
            </sec>
        </sec>
        <sec id="sec15" sec-type="results">
            <title>Results</title>
            <p>A total of 409 testicular biopsy cases from bilateral testicular biopsies were performed. The mean age of patients was 36&#x00b1;6.7 years, ranging from 19 to 69 years. All included patients are listed in 
                <xref ref-type="table" rid="T2">
Table 2</xref>. All the cases were categorized according to the histopathological categories mentioned in 
                <xref ref-type="table" rid="T3">
Table 3</xref>. Nearly half of the histological pattern was Spermatogenic Arrest (49.6%), followed by HS, seen in 20% of cases. However, according to individual MJ scores, the most common score is MJ score 2 (Only Sertoli cells present), followed by MJ score 5 (Many spermatocytes, no sperm or spermatids). There was a significant difference in sperm recovered during the procedure from TF (MJ 1) to SA (MJ 6&#x2013;3) (
                <italic toggle="yes">p</italic>=&lt;0.001), but not in HS (MJ 7) (
                <italic toggle="yes">p</italic>=0.5), indicating degrees of sperm retrieval probability, with odds ratios progressively decreasing as pathology severity increases. There were 76 patients (18.5%) who showed a discordant pattern.</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>
Table 2. </label>
                <caption>
                    <title>Characteristics of the included patients.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Parameters</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Total N=409 (%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
TF N=30 (7.3%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
SCOP N=51 (12.5%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
SA N=203 (49.6%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
HS N=82 (20%)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
NS N=10.5%</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age (years) (Mean&#x00b1;SD)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36.74&#x00b1;6.78</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34.83&#x00b1;4.34</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35.10&#x00b1;5.95</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36.71&#x00b1;6.47</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38.39&#x00b1;8.77</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.05&#x00b1;5.64</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">BMI (kg/m
                                <sup>2</sup>)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.16&#x00b1;5.91</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27.74&#x00b1;5.16</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26.73&#x00b1;5.19</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.78&#x00b1;6.30</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27.49&#x00b1;5.05</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.72&#x00b1;6.72</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">HbA1c (%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.87&#x00b1;4.10</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.10&#x00b1;0.45</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.89&#x00b1;0.56</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.67&#x00b1;0.58</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.51&#x00b1;1.24</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.23&#x00b1;1.55</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">FSH (mIU/mL)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16.98&#x00b1;13.62</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25.66&#x00b1;16.20</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25.93&#x00b1;18.10</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17.87&#x00b1;12.55</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.32&#x00b1;7.78</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.26&#x00b1;5.43</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">LH (IU/mL)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.63&#x00b1;5.95</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.23&#x00b1;6.82</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.53&#x00b1;7.17</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9.17&#x00b1;6.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6.10&#x00b1;3.84</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.92&#x00b1;3.53</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Testosteron (ng/mL)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.00&#x00b1;3.01</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.61&#x00b1;2.83</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.16&#x00b1;2.73</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.01&#x00b1;3.41</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.96&#x00b1;2.55</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.09&#x00b1;2.14</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Microdeletion</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">AZFa</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">AZFb</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">AZFc</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Multiple Deletion</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Sperm Retrieval Rate (%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">33.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.0%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.2%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">83.7%</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">90.7%</td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <table-wrap id="T3" orientation="portrait" position="float">
                <label>
Table 3. </label>
                <caption>
                    <title>Histopathological and MJ score classification of testicular biopsies with association analyses to sperm retrieval outcomes (n=409).</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Johnsen score</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
Histopathological classification</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
No. of cases</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">%</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
OR of sperm found (95% CI)</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">

                                <italic toggle="yes">p</italic>-value</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">8</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Normal spermatogenesis</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">43</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10.5</td>
                            <td align="left" colspan="2" rowspan="1" valign="top">1.00</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">7</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hypospermatogensis</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">82</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.54 (0.17&#x2013;1.78)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.5</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                            <td align="left" colspan="1" rowspan="4" valign="top">Spermatogenic Arrest</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">51</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.02 (0.01&#x2013;0.07)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">68</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16.6</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.01 (0.00&#x2013;0.05)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">46</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11.2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.13 (0.00&#x2013;0.05)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">38</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.01 (0.00&#x2013;0.03)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Sertoli cell only Phenotype</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">51</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.01 (0.00&#x2013;0.02)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Tubular Fibrosis</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.01 (0.00&#x2013;0.05)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Analysis with Chi-Square and multinomial logistic regression. Odds ratios (OR) and p-values were calculated using multinomial logistic regression, with MJ score 8 (normal spermatogenesis) as the reference group. Lower OR indicates a decreased likelihood of sperm retrieval. Significant if p-value &lt;0.05.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>Key variables, including age, BMI, HbA1c, FSH, LH, and testosterone levels were compared across histopathological pattern groups, as shown in 
                <xref ref-type="table" rid="T4">
Table 4</xref> and 
                <xref ref-type="fig" rid="f2">Figure 2</xref>. Although no significant differences were observed in age, BMI, HbA1c, or testosterone levels (
                <italic toggle="yes">p</italic>=&gt;0.05 for all), FSH and LH levels varied significantly among groups (
                <italic toggle="yes">p</italic>=&lt;0.001). NS and HS exhibited high sperm retrieval rates (SRRs) of 93.1% and 88.5%, respectively. In contrast, the rates for SA, SCOP, and TF were significantly lower, with the latter two conditions showing rates of 2.1% and 10%, respectively (
                <italic toggle="yes">p</italic>&lt;0.001). To determine the independent predictors of successful sperm retrieval, a multivariate logistic regression model was utilized (
                <xref ref-type="table" rid="T6">
Table 6</xref>). After adjusting for confounding variables, clinical and hormonal parameters, including age (
                <italic toggle="yes">p</italic>=0.890), BMI (
                <italic toggle="yes">p</italic>=0.649), FSH (
                <italic toggle="yes">p</italic>=0.747), LH (
                <italic toggle="yes">p</italic>=0.074), and testosterone (
                <italic toggle="yes">p</italic>=0.725), were not independent predictors. Conversely, the histopathological pattern remained the sole independent predictor of successful sperm retrieval, with TF (OR=0.015, 
                <italic toggle="yes">p</italic>&lt;0.001), SCOP (OR=0.003, 
                <italic toggle="yes">p</italic>&lt;0.001), and SA (OR=0.022, 
                <italic toggle="yes">p</italic>&lt;0.001) significantly reducing the odds of retrieval compared to normal spermatogenesis (
                <xref ref-type="table" rid="T5">
Table 5</xref>).</p>
            <table-wrap id="T4" orientation="portrait" position="float">
                <label>
Table 4. </label>
                <caption>
                    <title>Relationship between clinical parameters and histopathological patterns.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Total n: 174</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">TF</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">SCOP</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">SA</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">HS</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">NS</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">

                                <italic toggle="yes">p</italic>-value
                                <xref ref-type="table-fn" rid="tfn3">*</xref>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">N (%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (9.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29 (16.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">80 (45.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">36 (20.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">
13 (7.4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age (years)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34 (30&#x2013;42)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">33 (27&#x2013;50)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37.5 (26&#x2013;58)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">35.5 (25&#x2013;61)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">37 (27&#x2013;42)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.23
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>a</sup>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">BMI kg/m
                                <sup>2</sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26.4 (21.25&#x2013;38.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25.5 (19.6&#x2013;37.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">27 (19.3&#x2013;48.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26.3 (20&#x2013;36)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">31 (20&#x2013;44)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.14
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>a</sup>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">SRR (%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">88.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">93.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="table-fn" rid="tfn2">
                                    <sup>b</sup>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">HbA1c (%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.2 (4.2&#x2013;5.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.3 (4.2&#x2013;38)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.2 (4&#x2013;34)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.5 (4.1&#x2013;12.1)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.5 (4.2&#x2013;12.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.15
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>a</sup>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Microdeletion
                                <xref ref-type="table-fn" rid="tfn3">*</xref>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.8
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>a</sup>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;AZFa</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;AZFb</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;AZFc</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Multiple deletion</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">FSH (mIU/mL)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28 (0.2&#x2013;57.3)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">28.1 (2.6&#x2013;67.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">20.3 (0.3&#x2013;68.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7.1 (2&#x2013;32)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.3 (3.6&#x2013;32.2)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>a</sup>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">LH (IU/mL)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10 (0.3&#x2013;28.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11.6 (1.4&#x2013;43.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8.8 (0.1&#x2013;32.6)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5,4 (2&#x2013;17.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.6 (1.8&#x2013;13.8)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>a</sup>
                                </xref>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Testosterone (ng/mL)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3.4 (0.3&#x2013;33.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5.6 (0&#x2013;56.7)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.3 (0&#x2013;76.5)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.4 (0&#x2013;71)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4.7 (0&#x2013;63.9)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.53
                                <xref ref-type="table-fn" rid="tfn1">
                                    <sup>a</sup>
                                </xref>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>TF: Tubular Fibrosis; SCOP: Sertoli cell only Phenotype; SA: Spermatogenic Arrest; HS: Hypospermatogenesis; NS: Normal Spermatogenesis; BMI: Body mass index; SRR: Sperm retrieval rates; AZF: Azoospermia factor; FSH: Follicle-stimulating hormone; LH: Luteinizing hormone. </p>
                    <p>Analysis with:</p>
                    <fn-group content-type="footnotes">
                        <fn id="tfn1">
                            <label>
                                <sup>a</sup>
                            </label>
                            <p>ANOVA,</p>
                        </fn>
                        <fn id="tfn2">
                            <label>
                                <sup>b</sup>
                            </label>
                            <p>Analyze with Chi-square,</p>
                        </fn>
                        <fn id="tfn3">
                            <label>*</label>
                            <p>Significant if 
                                <italic toggle="yes">p</italic>-value &lt;0.05.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>
Figure 2. </label>
                <caption>
                    <title>Hormonal profile levels in different histopathological groups.</title>
                </caption>
                <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/197124/9d68a792-dce5-4891-85ec-61362e28ba5c_figure2.gif"/>
            </fig>
            <table-wrap id="T5" orientation="portrait" position="float">
                <label>
Table 5. </label>
                <caption>
                    <p>Multivariate logistic regression analysis of independent predictors for successful sperm retrieval.</p>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Variables</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">B</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">p-value</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
OR (95% CI)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Clinical Parameters</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Age</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.003</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.890</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1.003 (0.957 &#x2013; 1.052)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">BMI</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.014</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.649</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.986 (0.929 &#x2013; 1.047)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hormonal Parameters</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">FSH</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.006</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.747</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.994 (0.956 &#x2013; 1.033)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">LH</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.083</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.074</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.920 (0.841 &#x2013; 1.008)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Testosterone</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.024</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.725</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.976 (0.855 &#x2013; 1.115)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Histopathology
                                <xref ref-type="table-fn" rid="tfn4">*</xref>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Tubular Fibrosis (TF)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-4.178</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.015 (0.002 &#x2013; 0.107)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Sertoli Cell-Only (SCOP)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-5.683</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.003 (0.000 &#x2013; 0.037)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Spermatogenic Arrest (SA)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-3.816</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.001</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.022 (0.006 &#x2013; 0.081)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Hypospermatogenesis (HS)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">-0.818</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.239</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">0.441 (0.113 &#x2013; 1.724)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn-group content-type="footnotes">
                        <fn id="tfn4">
                            <label>*</label>
                            <p>Normal Spermatogenesis (NS) served as the reference category. B: Unstandardized regression weight; OR: Odds Ratio; CI: Confidence Interval.</p>
                        </fn>
                    </fn-group>
                </table-wrap-foot>
            </table-wrap>
            <table-wrap id="T6" orientation="portrait" position="float">
                <label>
Table 6. </label>
                <caption>
                    <title>Testicular morphologic patterns in other international studies.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top">Author</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">No. of subject</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Country</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Procedure</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Year</th>
                            <th align="left" colspan="5" rowspan="1" valign="top">Histopathological patterns n (%)</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">TF</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">SCOP</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">SA</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">HS</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
NS</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Meinhard et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref19">19</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">UK</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">TESE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1973</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (4%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15 (15%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">46 (46%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29 (29%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">5 (5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Haddad FH et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref30">30</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">545</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Jordan</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">FNA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1990 &#x2013; 1995 &amp; 1997 &#x2013; 2000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">155 (28.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (2.9%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9 (1.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">304 (55.8%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">61 (11.2%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Abdullah L et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref16">16</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">100</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Saudi Arabia</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2004 &#x2013; 2010</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14 (14%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (16%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12 (12%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29 (29%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13 (13%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Mushtaq et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref9">9</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">53</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Pakistan</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2011 &#x2013; 2013</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (7.54%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (30.18)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">8 (15%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10 (18.86%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">9 (16.78%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">&#x010c;amd&#x017e;i&#x0107; N et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref17">17</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">219</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Bosnia</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2015 &#x2013; 2023</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">16 (7.3%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">128 (58.4)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10 (4.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15 (6.8%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13 (6%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Allebawi SAH et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref29">29</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">180</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Iraq</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2020 &#x2013; 2024</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">18 (10%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">54 (30%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">84 (46.67%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">24 (13.3%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Rashed MM et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref20">20</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">50</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Egypt</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">TESE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2004 &#x2013; 2006</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">3 (6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17 (34%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">14 (28%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">4 (8%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12 (24%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Colgan et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref21">21</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">142</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Canada</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">TESE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1971 &#x2013; 1979</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17 (12%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15 (10,6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">29 (20.4%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Al-Rayess MM et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref26">26</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">230</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Saudi Arabia</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1987 &#x2013; 1996</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">12 (5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">26 (16%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">25 (11%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">30 (13%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">72 (31%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Siadati S et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref25">25</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">924</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Iran</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1990 &#x2013; 2013</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">52 (6.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">308 (38.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">132 (16.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">133 (16.7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">161 (20.3%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Brannen GE et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref23">23</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">48</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">USA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1971 &#x2013; 1977</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6 (12.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6 (12.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">6 (12.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">13 (27%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">17 (35.4%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Jamal AA et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref24">24</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">164</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Saudi Arabia</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1990 &#x2013; 2000</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">11 (7%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">41 (25%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10 (12%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Seo JT et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref31">31</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">178</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Korea</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">TESE</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">1996 &#x2013; 1999</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">80 (44.9%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">24 (13.5%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">74 (41.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="top">Amin A et al
                                <sup>
                                    <xref ref-type="bibr" rid="ref22">22</xref>
                                </sup>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="top">34</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">Iran</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">FNA</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2 years</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">2 (5.9%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">15 (44.1%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">7 (20.6%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">10 (29.4%)</td>
                            <td align="left" colspan="1" rowspan="1" valign="top">N/A</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>TF: Tubular Fibrosis; SCOP: Sertoli cell only Phenotype; SA: Spermatogenic Arrest; HS: Hypospermatogenesis; NS; Normal Spermatogenesis; FNA: Fine needle aspiration; TESE: Testicular sperm extraction; N/A: Not available.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>The prevalence of microdeletions in the AZF region of the Y chromosome was low across all groups, with no significant (
                <italic toggle="yes">p</italic>=0,8) association between specific deletion patterns and histopathological classifications. Patients with TF and SCOP demonstrated the highest median FSH levels (28 and 28.1 mIU/mL, respectively), indicative of more severe spermatogenic dysfunction. Similarly, these groups had significantly (
                <italic toggle="yes">p</italic>=&lt;0.001) elevated LH levels compared to other groups. On the other hand, HS showed the closest to normal median values regarding FSH and LH levels of 7.1(2&#x2013;31) mIU/mL and 5.4 (2&#x2013;17.4) IU/mL, respectively.</p>
            <p>ROC curve analysis evaluated the predictive value of these hormones for severe histopathology. For predicting SCOP, FSH demonstrated an AUC of 0.693 (
                <italic toggle="yes">p</italic>&lt;0.001), with an optimal cut-off value of 14.75 mIU/mL, yielding a sensitivity of 78.4% and a specificity of 56.7%. (
                <xref ref-type="fig" rid="f3">Figure 3</xref>) For predicting TF, LH demonstrated an AUC of 0.693 (
                <italic toggle="yes">p</italic>&lt;0.001), while FSH showed an AUC of 0.672 (
                <italic toggle="yes">p</italic>=0.003) with an optimal cut-off of 14.95 mIU/mL (sensitivity 77.4%, specificity 55.6%) (
                <xref ref-type="fig" rid="f4">Figure 4</xref>).</p>
            <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                <label>
Figure 3. </label>
                <caption>
                    <title>ROC curve of FSH and LH in predicting SCOP.</title>
                </caption>
                <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/197124/9d68a792-dce5-4891-85ec-61362e28ba5c_figure3.gif"/>
            </fig>
            <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                <label>
Figure 4. </label>
                <caption>
                    <title>ROC curve of FSH and LH in predicting TF.</title>
                </caption>
                <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/197124/9d68a792-dce5-4891-85ec-61362e28ba5c_figure4.gif"/>
            </fig>
        </sec>
        <sec id="sec16" sec-type="discussion">
            <title>Discussion</title>
            <p>The prevalence of male infertility and the associated histological findings in testicular biopsies vary markedly across different regions of the world, influenced by various etiological factors, including social practices, lifestyle, genetic predispositions, and environmental conditions such as infections, chemical exposure, radiation, and heat exposure.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>,
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> This study aimed to evaluate histopathological patterns in testicular biopsies of azoospermic men and assess their correlation with clinical and hormonal parameters. The main finding reveals that spermatogenic arrest was the most prevalent histopathological pattern, with significant associations observed between hormonal levels&#x2014;particularly FSH and LH&#x2014;and tissue findings.</p>
            <p>A testicular biopsy is the primary diagnostic procedure for all testicular-related infertility issues.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> This is not the sole parameter for assessing testicular histopathology patterns; however, it is the most robust predictor of the likelihood of detecting sperm in the testis for therapeutic sperm retrieval in assisted reproductive techniques.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> Moreover, testicular biopsy is crucial in assessing men at risk for carcinoma in situ or testicular cancer, including individuals with idiopathic infertility, a history of cryptorchidism, previous testicular neoplasia, or the presence of concerning clinical or radiological findings such as a nodule or microlithiasis.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> A testicular biopsy may be conducted under local or general anesthesia and can involve either a transcutaneous needle approach or open biopsies from one or multiple sites. Patients with NOA would undergo TESE/micro-TESE under general anesthesia in our practice, depending on the size and previous testicular procedure. During this procedure, the aim is to take samples for sperm retrieval and histopathological examinations at the same time, thus enabling moving forward with ART and evaluating histological changes in the testis if no sperm are found. Due to the variability of lesions between testes and the prevalence of heterogeneous pathological patterns, it is advisable to perform bilateral testicular biopsies in the evaluation of male infertility.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref15">15</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
            </p>
            <p>Various pathological patterns in other international studies are summarized in 
                <xref ref-type="table" rid="T6">
Table 6</xref>. Hypo-spermatogenesis is primarily observed in our results (82 cases, 20%), similar to other studies, which reported rates between 16.7 and 29.4%.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref16">16</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> On the other hand, various studies report much smaller findings of 6.6 to 13%.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>,
                    <xref ref-type="bibr" rid="ref20">20</xref>,
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> and much more significant findings of 41.6 to 55.8%.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>,
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> A proportional reduction in the quantities of spermatogonia and primary spermatids characterizes hypo spermatogenesis. In other words, all components of spermatogenesis are present but diminished in quantity.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Hypo spermatogenesis may clinically correlate with hormonal dysregulation, congenital germ cell deficiency, androgen insensitivity, chemical exposure, and exposure to heat and radiation.
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> Variation among studies can be attributed to differences in patient selection criteria for biopsy. Some centers reserve testicular biopsies exclusively for patients with azoospermia, whereas others perform them for patients with either azoospermia or oligospermia. The present study involved testicular biopsy for patients diagnosed with azoospermia.</p>
            <p>SA is defined as an obstruction in the maturation process of spermatids, resulting in the absence of mature spermatozoa. Affected tubules typically halt at the primary spermatocyte or spermatogonia stage. Clinically, numerous underlying etiologies of SA exist. The arrest may be attributed to genetic factors or external influences.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Genetic etiologies include trisomy, balanced autosomal anomalies (such as translocations and inversions), or deletions on the Y chromosome (Yq11).
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> Secondary causes encompass excessive consumption of alcohol or other toxic agents, chronic marijuana use, cytotoxic chemotherapy, and hypogonadotropic hypogonadism.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> The prevalence of SA (accumulation of MJ score 6&#x2013;3) in this study was 49.5% (203 cases), similar to findings by Meinhard et al.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> in the UK and Allebawi SAH et al.
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup> in Iraq; these results are much higher than international results of between 1.7 to 28%.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref16">16</xref>,
                    <xref ref-type="bibr" rid="ref17">17</xref>,
                    <xref ref-type="bibr" rid="ref20">20</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref26">26</xref>,
                    <xref ref-type="bibr" rid="ref30">30</xref>,
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> Although our initial classification grouped all SA cases together, yielding this high prevalence, stratifying by specific MJ scores allows differentiation of arrest stages. Based on our data, only 12.5% of cases (MJ 6) represented late maturation arrest. In contrast, 27.8% (MJ 4 and 5) represented early maturation arrest at the primary spermatocyte stage, and 9.3% (MJ 3) showed pre-meiotic arrest. Grouping these biologically distinct entities into a single umbrella category explains the inflated overall SA proportion compared to other cohorts and accounts for the lower overall SRR (12.2%) observed in this group.</p>
            <p>This study identified 51 cases (12.5%) of SCOP. This finding aligns closely with five additional studies
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>,
                    <xref ref-type="bibr" rid="ref19">19</xref>,
                    <xref ref-type="bibr" rid="ref21">21</xref>,
                    <xref ref-type="bibr" rid="ref23">23</xref>,
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> that reported analogous figures. Only one study by Haddad FH et al. reported a lower number of SCOP of 2,9%.
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> While other studies reported higher results of between 30,18 and 58,4%.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>,
                    <xref ref-type="bibr" rid="ref17">17</xref>,
                    <xref ref-type="bibr" rid="ref20">20</xref>,
                    <xref ref-type="bibr" rid="ref22">22</xref>,
                    <xref ref-type="bibr" rid="ref25">25</xref>,
                    <xref ref-type="bibr" rid="ref29">29</xref>,
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> The disparity in SCOP incidence between our study and international studies remains inadequately explained. SCOP should exclusively refer to a consistent pattern in which no germ cells are observed in any profile. Sertoli cell-only Phenotype is an irreversible condition that may be linked to various underlying disorders. These encompass cryptorchidism, orchitis, post-radiation or chemotherapy effects, estrogen or androgen therapy, and chronic hepatopathology as contributing factors.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> Recent studies have implicated structural abnormalities of the Y chromosome, mainly deletions of the human azoospermia factor (AZF) gene on the long arm of the Y chromosome, as the primary cause of impaired spermatogenesis and azoospermia.
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup>
            </p>
            <p>Tubular Fibrosis was observed in 30 cases (7,3%). Comparable findings were reported by Meinhard et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> Mushtaq et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> &#x010c;amd&#x017e;i&#x0107; N et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Allebawi SAH et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup> Rashed MM et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Siadati S et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> and Amin A et al.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> In contrast, higher incidences were documented by Haddad FH et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> Abdullah L et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> and Brannen GE et al.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> of around (12.5&#x2013;28.4%). The cause of the discrepancy in TF incidence remains unknown; however, variations in biopsy selection criteria among urologists within the same institution and across centers contribute to this issue. Another study from Nigeria suggested that prior inflammatory processes, such as previous orchitis, may contribute to the etiology of this condition.
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup>
            </p>
            <p>Conditions such as SCOP and TF exhibit drastically reduced odds for sperm retrieval, with their OR approaching zero. These findings reflect the severity of testicular dysfunction associated with these pathologies. A meta-analysis by Yuen W et al. has found higher SRR in patients with SCOP, up to 47%.
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> The current study showed a significantly lower SRR of 2,1% in patients with SCOP. This difference might be due to the studies included in the meta-analysis, which consist mainly of small-sample studies with AZFc microdeletions and SRR rates of 13&#x2013;100%.
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> Intermediate conditions, including SA and HS, demonstrate moderate odds of sperm retrieval, suggesting that partial spermatogenic activity may still provide avenues for successful outcomes in some cases. This result for SA is lower than that of a study by Mehmood S et al.
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> (current study: 12.8 vs 32.43%), however the HS pattern is similar (current study: 88.5 vs 89.7%). Several factors might contribute to this difference, such as no further differentiation between early and late MA, variability in testicular Sertoli cell and Leydig cell support, as well as germ cell apoptosis, which can impact the likelihood of successful sperm retrieval,
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup> and the number and distribution of biopsy samples taken can significantly affect SRR.
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup> The statistical analysis underscores the significance of histopathological findings in clinical decision-making. The strong association between pathology type and retrieval outcomes provides a framework for predicting patient prognosis and optimizing treatment strategies. Crucially, our multivariate analysis demonstrated that while preoperative hormones like FSH and LH are valuable screening tools that correlate strongly with testicular tissue damage, they do not independently predict sperm retrieval once the histopathological pattern is established. Age, BMI, and hormonal profiles lost their predictive value after adjustment for biopsy results, leaving histopathology as the definitive determinant of retrieval success. This reaffirms that endocrine profiling cannot replace the diagnostic and prognostic accuracy of a testicular biopsy. This data reaffirms the importance of precise histopathological evaluation as a cornerstone of male infertility management.</p>
            <p>The difference in SRR between our study and Ozman et al.&#x2019;s highlights the significant impact of patient population characteristics and underlying causes of NOA. Our study focused on first-time micro-TESE procedures, which likely included a broader spectrum of NOA cases, encompassing more severe spermatogenic failures, such as SA and SCOP. In contrast, Ozman et al. studied repeat micro-TESE, targeting a population enriched with patients who may have better prognostic features due to prior surgical experience and findings.
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> For example, favorable outcomes were observed in Klinefelter&#x2019;s syndrome (50% SRR) and idiopathic NOA (17.4% SRR) in Ozman et al.&#x2019;s cohort, suggesting these groups retained residual spermatogenic potential even after a failed initial procedure. However, less favorable etiologies, such as Y microdeletions (20% SRR) and cryptorchidism (18.1% SRR), also contributed to variability in their results. These distinctions emphasize the critical role of the underlying cause of NOA in determining outcomes, as well as the impact of patient selection and procedural history. When comparing SRR between studies, it is essential to consider differences in patient populations, as they reflect biological variability and guide tailored counseling and expectations for success in procedures. A study by Jarvis S et al. showed that testicular fine-needle aspiration (FNA) mapping after failed m-TESE detected sperm in 29.3% of cases, with guided retrieval achieving 100% success, including freezing surplus sperm in 66.7% of patients. This testis-sparing approach identified sperm primarily in peripheral regions, bypassing reliance on visual cues and minimizing extensive surgical procedures, such as repeated m-TESE.
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup>
            </p>
            <p>FSH and LH levels were notably elevated in patients with TF and SCOP, indicative of significant spermatogenic dysfunction. Median FSH levels for these groups were 28 mIU/mL and 28.1 mIU/mL, respectively, compared to much lower levels in patients with NS or HS. According to a study by Kavoussi PK et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup> a statistically significant higher FSH (more than 22.9&#x00b1;16.6 IU/L) was found in patients with unfavorable histopathological patterns (SCOP pattern and early maturation arrest) compared to a lower FSH level of 13.3&#x00b1;12.0 IU/L in patients with favorable histopathological patterns (late maturation arrest and HS). In addition, median LH was also significantly higher in TF and SCOP of (10 IU/mL and 11,6 IU/mL), respectively, as compared to SA, HS, and NS. This suggests a disruption in the feedback mechanisms between the testis and the hypothalamus-pituitary axis, which is negatively correlated with spermatogenic function.
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup> Elevated LH levels are further associated with Leydig cell hyperplasia and reduced testosterone levels, reinforcing these endocrine markers&#x2019; diagnostic and prognostic value of these endocrine markers.
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> These hormones are valuable biomarkers in diagnosing and predicting the severity of male infertility based on testicular histopathology. Nonetheless, testosterone may still offer supportive diagnostic value when interpreted alongside gonadotropins. When interpreted collectively, these hormonal markers can serve as valuable non-invasive indicators of spermatogenic status. An FSH threshold above 22 mIU/mL may reliably predict unfavorable histological outcomes, offering potential utility as a screening tool for identifying candidates with a low likelihood of successful sperm retrieval.
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup> Our ROC analysis establishes clinically meaningful thresholds specific to our cohort, demonstrating that an FSH level above approximately 14.8 mIU/mL predicts severe pathologies like SCOP and TF with high sensitivity (&gt;77%). While previous studies suggested an FSH threshold above 22 mIU/mL for unfavorable outcomes, our data implies a lower threshold may be more clinically relevant for predicting severe germ cell depletion in Southeast Asian populations. This provides urologists with a concrete preoperative parameter to better counsel patients regarding the likelihood of adverse biopsy findings.</p>
            <p>This study underscores the clinical relevance of integrating histopathological and hormonal findings in the management of azoospermic men. Testicular biopsy, combined with FSH and LH profiling, provides a robust framework for counseling patients regarding their realistic prospects with assisted reproductive technologies (ART).
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> Identifying severe histological patterns such as Sertoli cell-only phenotype or tubular fibrosis&#x2014;especially when accompanied by elevated FSH&#x2014;can help avoid unnecessary repeat interventions. By incorporating hormonal thresholds into pre-biopsy screening, clinicians may more effectively stratify candidates for micro-TESE, improving timing and patient selection while potentially reducing the need for invasive procedures in those with minimal retrieval potential.
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>,
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> These findings have practical implications for clinical protocols in resource-limited settings, where access to advanced reproductive technologies may be limited. By integrating hormonal profiling&#x2014;particularly FSH and LH levels&#x2014;with histopathological assessment, clinicians can more effectively triage patients for invasive procedures like micro-TESE. Establishing hormone-based thresholds as non-invasive predictors of unfavorable pathology could reduce unnecessary surgeries, optimize resource allocation, and support more personalized counseling, ultimately improving care quality and cost-effectiveness in low-resource healthcare environments.
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup>
            </p>
            <p>Interestingly, our analysis revealed that HbA1c levels did not demonstrate a statistically significant correlation with histopathological patterns or sperm retrieval rates (
                <italic toggle="yes">p</italic>=0.15). While chronic hyperglycemia is theoretically linked to testicular microangiopathy, extreme oxidative stress, and the disruption of the blood-testis barrier via the AGE-RAGE axis, our findings align with a well-documented 'metabolic paradox' in surgical retrieval outcomes. Systemic metabolic dysregulation strongly impairs ejaculated sperm quality due to prolonged exposure to a highly toxic, reactive oxygen species-laden seminal plasma during epididymal transit.
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>,
                    <xref ref-type="bibr" rid="ref42">42</xref>
                </sup> However, it frequently fails to predict the success of micro-TESE. Surgical retrieval extracts spermatozoa directly from protected, localized niches within the seminiferous tubules, bypassing the hostile post-testicular environment. Because focal islands of spermatogenesis can survive despite overwhelming systemic glucotoxicity, varying degrees of glycemic control do not inherently preclude successful retrieval.
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup> Therefore, while HbA1c remains a vital marker for perioperative safety and systemic health optimization, our data suggest it should not serve as a prognostic gatekeeper to deny surgical fertility interventions in men with NOA.</p>
            <p>This study possesses several notable strengths, making it a valuable contribution to the field of male infertility research. A large sample size of 409 testicular biopsies provides robust statistical power and reliable findings. Additionally, its emphasis on bilateral testicular biopsies improves diagnostic accuracy by addressing histopathological discrepancies between testes. By situating its findings within data from Indonesia and international studies, the research enhances understanding of global histopathological variations while addressing the Indonesian population&#x2019;s unique demographic and healthcare challenges. These strengths underscore the study&#x2019;s clinical relevance in guiding patient counseling, treatment planning, and improving outcomes in male infertility management. On the other hand, this study has some limitations. Firstly, the study relies on retrospective data, which may introduce bias and limit the ability to establish causality. Secondly, we encounter only a few patients with Y-chromosome microdeletions; therefore, we cannot further evaluate this population. These abnormalities might significantly affect the hormonal profile
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup> and SRR
                <sup>
                    <xref ref-type="bibr" rid="ref44">44</xref>
                </sup> in azoospermic patients. While this study comprises a substantial cohort in Indonesia, data from two centers might not fully represent the national population. The retrospective nature also introduced specific biases although this is not a major issue in this correlational study. Furthermore, the exact number of tubules evaluated per slide was not uniformly documented in older pathology reports, and interobserver variability among the reviewing pathologists was not statistically assessed. Future research should consider prospective, multicenter studies to improve population representation and enable controlled evaluation of causal factors. Genetic screening, including Y-chromosome microdeletion analysis, should be incorporated to better understand its impact on histopathological patterns and hormonal profiles.</p>
        </sec>
        <sec id="sec17" sec-type="conclusion">
            <title>Conclusion</title>
            <p>The study on testicular biopsies in azoospermic men within an Indonesian cohort highlights the intricate relationship between histopathological findings and fertility potential. Elevated FSH and LH levels were strongly associated with severe spermatogenic dysfunction, particularly in SCOP and TF cases. The study underscores the importance of precise histopathological evaluations in optimizing fertility treatment outcomes and provides valuable insights into Indonesia&#x2019;s unique demographic and healthcare context.</p>
        </sec>
    </body>
    <back>
        <sec id="sec20" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec21">
                <title>Underlying data</title>
                <p>Data supporting the findings of this study are available upon reasonable request from the corresponding author (Ponco Birowo, email: 
                    <email xlink:href="mailto:ponco.birowo@gmail.com">ponco.birowo@gmail.com</email>) due to ethical restrictions. The data include de-identified clinical, laboratory, and histopathological parameters of patients with non-obstructive azoospermia. Access to the data will be granted following institutional data protection regulations and upon obtaining necessary ethical approvals.</p>
            </sec>
            <sec id="sec22">
                <title>Extended data</title>
                <p>No publicly available extended data are currently associated with this study. Supplementary materials such as the histopathological scoring table, blank consent form, or study protocols can be provided upon reasonable request to the corresponding author (Ponco Birowo, email: 
                    <email xlink:href="mailto:ponco.birowo@gmail.com">ponco.birowo@gmail.com</email>). Data sharing is subject to institutional data protection policies and requires prior ethical approval.</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors would like to thank the Faculty of Medicine, Universitas Indonesia, for their support in conducting this study.</p>
        </ack>
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    </back>
    <sub-article article-type="reviewer-report" id="report468660">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.197124.r468660</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kobayashi</surname>
                        <given-names>Hideyuki</given-names>
                    </name>
                    <xref ref-type="aff" rid="r468660a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r468660a1">
                    <label>1</label>Department of Urology, Toho University faculty of Medicine, Tokyo, Japan</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>3</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Kobayashi H</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport468660" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.166812.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>I have reviewed the revised version of the manuscript and the authors&#x2019; responses to the reviewers&#x2019; comments. In my opinion, the authors have addressed the major concerns appropriately. The revisions have improved the histopathological classification, clarified the methods, and strengthened the clinical interpretation through additional ROC and multivariate analyses. The remaining limitations are appropriately acknowledged.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Male infertility</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report457414">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.183856.r457414</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kobayashi</surname>
                        <given-names>Hideyuki</given-names>
                    </name>
                    <xref ref-type="aff" rid="r457414a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r457414a1">
                    <label>1</label>Department of Urology, Toho University faculty of Medicine, Tokyo, Japan</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>16</day>
                <month>2</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Kobayashi H</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport457414" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.166812.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This manuscript presents a large retrospective cohort study evaluating histopathological patterns and hormonal profiles in azoospermic men undergoing bilateral testicular biopsy in Indonesia. The dataset of 409 cases represents an important regional contribution, and the emphasis on bilateral biopsy and sperm retrieval rate (SRR) adds clinical relevance. However, several methodological and interpretative issues should be addressed before the manuscript can be considered for approval.</p>
            <p> Major comments 
                <list list-type="order">
                    <list-item>
                        <p>High proportion of spermatogenic arrest (SA)</p>
                    </list-item>
                </list> The reported prevalence of spermatogenic arrest (approximately 49&#x2013;50%) appears substantially higher than that described in most previously published cohorts, where SA generally ranges between 10% and 30%. In the present study, Modified Johnsen (MJ) scores 6&#x2013;3 are collectively categorized as SA. This broad classification likely encompasses both early and late maturation arrest, which are biologically and prognostically distinct entities.</p>
            <p> Subclassification of SA into early (arrest at primary spermatocyte level) and late (arrest at round spermatid stage) maturation arrest is strongly recommended. These subtypes are known to have different sperm retrieval rates and may explain the relatively low overall SRR (approximately 12%) observed in this SA group. Without this distinction, comparison with international literature becomes challenging and may artificially inflate the SA proportion.</p>
            <p> The authors should clarify: 
                <list list-type="bullet">
                    <list-item>
                        <p>Whether early and late maturation arrest were differentiated histologically.</p>
                    </list-item>
                    <list-item>
                        <p>How many tubules were evaluated per biopsy.</p>
                    </list-item>
                    <list-item>
                        <p>Whether interobserver variability was assessed.</p>
                    </list-item>
                </list> 
                <list list-type="order">
                    <list-item>
                        <p>Lack of predictive modeling (ROC / Cut-off Analysis)</p>
                    </list-item>
                </list> While significant associations between FSH/LH levels and histopathological patterns are reported (p &lt; 0.001), the manuscript remains largely correlational. For clinical applicability, it would be highly valuable to provide receiver operating characteristic (ROC) curve analysis to determine clinically meaningful cut-off values for predicting unfavorable histopathology or failed sperm retrieval.</p>
            <p> For example: 
                <list list-type="bullet">
                    <list-item>
                        <p>What FSH threshold predicts SCOP/TF with acceptable sensitivity and specificity?</p>
                    </list-item>
                    <list-item>
                        <p>Can LH independently predict severe pathology?</p>
                    </list-item>
                    <list-item>
                        <p>What is the area under the curve (AUC) for these parameters?</p>
                    </list-item>
                </list> Including such analyses would substantially strengthen the translational value of the study. 
                <list list-type="order">
                    <list-item>
                        <p>Multivariate analysis for sperm retrieval</p>
                    </list-item>
                </list> The manuscript reports multinomial logistic regression for histopathological classification; however, it is unclear whether hormonal parameters independently predict sperm retrieval after adjusting for histopathology.</p>
            <p> A multivariate logistic regression model evaluating independent predictors of SRR (including age, BMI, FSH, LH, testosterone, and histopathology) would significantly enhance the robustness of the findings. Currently, it is difficult to determine whether hormonal markers provide additional predictive value beyond biopsy results. 
                <list list-type="order">
                    <list-item>
                        <p>Bilateral discordance analysis</p>
                    </list-item>
                </list> The authors report a discordant histopathological pattern in 18.5% of cases. This is an important finding, yet its clinical implications are not sufficiently explored.</p>
            <p> Specifically: 
                <list list-type="bullet">
                    <list-item>
                        <p>What were the SRRs in discordant versus concordant cases?</p>
                    </list-item>
                    <list-item>
                        <p>In discordant cases, was sperm retrieved preferentially from the more favorable side?</p>
                    </list-item>
                    <list-item>
                        <p>How was discordance handled in statistical modeling?</p>
                    </list-item>
                </list> Further elaboration on these points would reinforce the argument supporting bilateral biopsy. 
                <list list-type="order">
                    <list-item>
                        <p>Minor but important issues</p>
                    </list-item>
                </list> 
                <list list-type="bullet">
                    <list-item>
                        <p>The mean age is reported as &#x201c;366.7 years&#x201d; in the Results section, which appears to be a typographical error.</p>
                    </list-item>
                    <list-item>
                        <p>The claim of being the &#x201c;largest dataset&#x201d; in Indonesia should be cautiously phrased, as data were derived from two centers.</p>
                    </list-item>
                    <list-item>
                        <p>HbA1c is included in the analysis but not meaningfully discussed; its relevance should be clarified or the variable reconsidered.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Male infertility</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment15536-457414">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Birowo</surname>
                            <given-names>Ponco</given-names>
                        </name>
                        <aff>Department of Urology Faculty of Medicine Universitas Indonesia/ CIpto Mangunkusumo Hospital, Indonesia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>24</day>
                    <month>2</month>
                    <year>2026</year>
                </pub-date>
            </front-stub>
            <body>
                <p>First of all, I thank you for reviewing our study. I would like to respond to the revisions noted by the reviewer:</p>
                <p> </p>
                <p> 1.&#x00a0;High proportion of spermatogenic arrest (SA) and subclassification into early/late maturation arrest:</p>
                <p> We thank the reviewer for this critical observation. We agree that grouping all SA cases (MJ 3&#x2013;6) inflated our overall prevalence compared to international cohorts. Due to the retrospective nature of the historical pathology reports spanning 14 years, SA was initially categorized broadly without formal subclassification. However, to address this, we have now stratified the specific MJ scores in the Discussion section to differentiate the arrest stages. We clarified that only 12.5% of cases (MJ 6) represented late maturation arrest, while 27.8% (MJ 4 and 5) represented early arrest, and 9.3% (MJ 3) showed pre-meiotic arrest. We have also updated the Methods to clarify that, typically, 20 to 50 tubules are evaluated per biopsy. As we could not retrospectively calculate Cohen's Kappa for interobserver variability, we have explicitly stated this as a limitation.</p>
                <p> </p>
                <p> 2.&#x00a0;Lack of predictive modeling (ROC / Cut-off Analysis):</p>
                <p> We greatly appreciate this suggestion to enhance the translational value of the study. We have now performed ROC curve analyses to determine the predictive value of FSH and LH for severe histopathology (SCOP and TF). For predicting SCOP, FSH demonstrated an AUC of 0.693 (p&lt;0.001), with a clinical cut-off of 14.75 mIU/mL providing 78.4% sensitivity. For predicting Tubular Fibrosis, FSH demonstrated an AUC of 0.672 (p=0.003) with an optimal cut-off of 14.95 mIU/mL. These clinically meaningful cut-offs, along with their respective sensitivities and specificities, have been added to the Results and Discussion sections, and the ROC curves have been included as Figures 3 and 4.</p>
                <p> </p>
                <p> 3.&#x00a0;Multivariate analysis for sperm retrieval:</p>
                <p> We thank the reviewer for this sugestion. We have conducted a multivariate logistic regression model (now included as Table 6) evaluating independent predictors of successful sperm retrieval, incorporating age, BMI, FSH, LH, testosterone, and histopathological classification. The analysis revealed that hormonal parameters, including FSH (p=0.747) and LH (p=0.074), were not independent predictors of sperm retrieval after adjusting for histopathology. The histopathological patterns (TF, SCOP, and SA) remained the sole independent predictors of retrieval failure (p&lt;0.001 for all). We have updated the Results and Discussion to emphasize that endocrine profiling cannot replace the diagnostic accuracy of a testicular biopsy.</p>
                <p> </p>
                <p> 4.&#x00a0;Bilateral discordance analysis:</p>
                <p> We agree that the 18.5% discordance rate is an important finding that supports bilateral biopsies. As noted in the Methods, in cases of discordance, the higher MJ score (the more favorable side) was used for statistical classification. Unfortunately, due to the extended retrospective nature of the surgical records, the specific laterality of successful sperm extraction was not consistently documented in the operative notes for these discordant cases. Consequently, we could not reliably calculate side-specific SRRs. We have added a sentence to the limitations section acknowledging this constraint.</p>
                <p> </p>
                <p> 5.&#x00a0;The mean age is reported as &#x201c;366.7 years&#x201d;:</p>
                <p> We apologize for this typographical error. It has been corrected to "36 &#x00b1; 6.7 years" in the Results section.</p>
                <p> </p>
                <p> 6.&#x00a0;The claim of being the &#x201c;largest dataset&#x201d; in Indonesia should be cautiously phrased.</p>
                <p> We completely agree. We have revised the phrasing throughout the manuscript (including the Abstract and Limitations) to state that this is "one of the largest datasets" or a "substantial cohort," reflecting that the data was derived from two centers and may not represent the entire population.</p>
                <p> </p>
                <p> 7.&#x00a0;HbA1c is included in the analysis but not meaningfully discussed.</p>
                <p> We appreciate the reviewer highlighting this. We have expanded the Discussion section to explicitly contextualize the HbA1c findings. We introduced the concept of the "metabolic paradox" in surgical sperm retrieval, explaining that while systemic HbA1c strongly impairs&#x00a0;
                    <italic>ejaculated</italic>&#x00a0;sperm quality, it frequently fails to predict micro-TESE success because surgical retrieval bypasses the hostile post-testicular environment. We clarified that while our p-value was not significant (p=0.15), the data suggests HbA1c should not serve as a prognostic gatekeeper to deny surgical fertility interventions.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report450727">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.183856.r450727</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Soebadi</surname>
                        <given-names>Doddy Moesbadianto</given-names>
                    </name>
                    <xref ref-type="aff" rid="r450727a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0982-4383</uri>
                </contrib>
                <aff id="r450727a1">
                    <label>1</label>Department of Urology, Faculty of Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>6</day>
                <month>2</month>
                <year>2026</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2026 Soebadi DM</copyright-statement>
                <copyright-year>2026</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport450727" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.166812.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This study is an important source for the literature and as a largest dataset concerning azoospermia in Indonesia. Also it provides a comprehensive histopathological and hormonal profile of azoospermic patients in the country, while also containing the diagnostic value of bilateral testicular biopsies &#x2013; an area often underexplored, especially in Asia countries. The histopathological and hormonal data as well as the data of microdeletions and sperm retrieval rates make this study more valuable.</p>
            <p> I recommend to approve this paper as an important addition of the world literature.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Clinical and basic research in Andrology.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
