<?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.122408.1</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>Methylene blue sentinel lymph node biopsy for breast cancer learning curve in the COVID-19 era: How many cases are enough?</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Azhar</surname>
                        <given-names>Yohana</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/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2148-0202</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Dewayani</surname>
                        <given-names>Birgitta M.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Lukman</surname>
                        <given-names>Kiki</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Methodology</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/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Surgery, Hasan Sadikin General Hospital, Faculty of Medicine, Padjadjaran University, Indonesia, Bandung, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Department of Pathology Anatomy, Hasan Sadikin General Hospital, Faculty of Medicine, Padjadjaran University, Indonesia, Bandung, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:yohanaspbonk@gmail.com">yohanaspbonk@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>4</day>
                <month>7</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>740</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>20</day>
                    <month>6</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Azhar Y et al.</copyright-statement>
                <copyright-year>2022</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/11-740/pdf"/>
            <abstract>
                <p>
                    <bold>Background</bold>: Sentinel lymph node biopsy (SLNB) is now the gold standard procedure for early breast cancer with clinically negative lymph nodes (N0). According to the Indonesian Board-Certified oncologist surgeon, the learning curve for evaluating fellow breast surgeons to achieve this competency could have been shorter due to the COVID-19 pandemic. This study aims to see if the learning curve for sentinel lymph node (SLN) identification can be shortened and if imprint cytology (IC) can replace frozen sections (FS) for intraoperative analysis.</p>
                <p>
                    <bold>Methods</bold>: Fellow breast surgeons were taught to perform SLNB on breast cancer patients. Intraoperative assessment and completion of axillary lymph node dissection (ALND) were performed in the first setting for standardization with the attending surgeon. Sentinel lymph node (SLN) identification was plotted on cumulative sum chart (CUSUM) limitations for evaluating the variability competency between attending surgeon and fellow surgeon based on a target identification rate of 85%. In addition, the accuracy of imprint cytology 
                    <italic toggle="yes">versus</italic> frozen section for identifying lymph node metastases was compared.</p>
                <p>
                    <bold>Results</bold>: Consecutive 50 SLNBs were conducted during this period with attending and trainees split into two groups. After 13 consecutive tests, the CUSUM plot positively identified SLN as a significant achievement level of competency. Imprint cytology was shown to be inferior to frozen section cytology. The accuracy of imprint cytology is 91.8%, while the accuracy of frozen sections is 95.9%.</p>
                <p>
                    <bold>Conclusion</bold>: According to a CUSUM chart based on a reasonable set of parameters, the learning curve for SLNB using methylene blue dye is reached after 13 consecutive positively detected SLN. Meanwhile, the frozen section is still the gold standard for determining the disorder of axillary lymph nodes, but the accuracy between the two methods can be comparable.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Breast Cancer</kwd>
                <kwd>Frozen Section</kwd>
                <kwd>Methylene Blue</kwd>
                <kwd>Selective Lymph Node Biopsy</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Sentinel lymph node (SLN) biopsy has replaced axillary lymph node dissection (ALND) as the standard minimally invasive staging procedure in patients with clinically node-negative disease.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Dual tracers, such as blue dye and radiotracer mapping, are recommended in the Asia Pacific and Europe to achieve a higher SLN identification rate than blue dye alone. However, because radiotracer mapping is more expensive and has several disadvantages, methylene blue dye as a single agent is well-tailored to use in developing countries without significantly compromising test quality.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>Both the Indonesian Board-Certified oncologist surgeon and the American Board-Certified surgeon recommend that at least 20 SLNB procedures be performed under the supervision of an attending physician to achieve competency, with a false-negative rate of no less than 5% and an SLN identification rate of more than 85%. Given that the SLN identification rate is more susceptible to technical failure, it is now a more reliable estimate for learning curve analysis. The Indonesian Board-Certified oncologist surgeon admitted that the learning curve used to assess the fellow surgeon objectively might be shorter, especially during the COVID-19 pandemic, when surgery volume and timeframe should be reduced.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> A method for plotting learning curves that can be used to check and predict the performance of others.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>It is necessary to develop a method for plotting learning curves to test and predict individual performance concerning a standardized degree of proficiency. Cumulative sum chart (CUSUM) plots are an excellent method for determining learning curves for any technique with specific and difficult output variables. They will be able to customize qualifications, knowledge, and skill certification criteria and deal with training issues throughout the COVID-19 pandemic.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
            </p>
            <p>The presence of nodal metastasis during the SLNB procedure can be determined by frozen section and imprint cytology. Although a few studies have shown that a frozen section is more accurate in determining lymph node metastasis during SLNB, many have claimed the advantages of imprint cytology in this setting.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> In this study, we compare the usefulness of imprint cytology and frozen section in the intra-operative diagnosis of sentinel node metastasis.</p>
            <sec id="sec2">
                <title>Objectives</title>
                <p>CUSUM analysis was used on the SLNB learning curve as a retrospective quality control tool, but it is not suitable for prospective learning curve analysis. For SLNB, other learning curve methods were often used. In this study, a CUSUM control chart is used to prospectively compare the learning curve of a fellow surgeon for SLNB and check it as an accomplishment level of qualifications and relate it with an attending surgeon using methylene blue dye as the visualization agent.
                    <sup>
                        <xref ref-type="bibr" rid="ref9">9</xref>
                    </sup>
                </p>
                <p>Frozen section (FS) analysis has become more prominent for intraoperative assessment; however, it takes more time, tissue loss, and expense than imprint cytology. The notified accuracy rates for each method in the literature are roughly equivalent.
                    <sup>
                        <xref ref-type="bibr" rid="ref13">13</xref>
                    </sup>
                    <sup>,</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref14">14</xref>
                    </sup> This research focuses on determining whether a SLN identification learning curve could be shortened, especially during the COVID-19 pandemic, and whether imprint cytology can substitute frozen sections for intraoperative evaluation. We conducted this study in accordance with The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement.</p>
            </sec>
        </sec>
        <sec id="sec3" sec-type="methods">
            <title>Methods</title>
            <sec id="sec4">
                <title>Ethical statement</title>
                <p>After receiving approval from Hasan Sadikin General Hospital's Ethics Committee (no. LB.02.01/X.7.4/272/2021). Written informed consent forms were obtained from the patients.</p>
            </sec>
            <sec id="sec5">
                <title>Study design</title>
                <p>We conducted a prospective, cross-sectional study between January and July 2021 at Hasan Sadikin General Hospital, Bandung, West Java, Indonesia. Consecutive 50 SLNB (operable primary tumor less than 5 cm and clinically negative ipsilateral axilla) was conducted by attending and fellow surgeons during the research period. As the International Board stated that competency could be achieved after 20 cases, the fellow was given 25 cases to be evaluated. We compared the result with the attending surgeon, who had already experienced this procedure for ten years.</p>
                <p>Following anesthesia induction, five milliliters (ml) of 0.1% methylene blue (Methylene blue S.A.L.F 1% 
                    <sup>&#x00ae;</sup> for injection) were infiltrated into the subareolar tissue, a significantly higher identification rate than the subareolar tissue the average in the other sites. The breast was massaged for about five minutes, and the surgical sites were prepared. In the breast-conserving surgery procedure, the surgent went to the axilla to make an axillary incision and performed SLNB. The SLNB would be done after creating a superior flap when the procedure is mastectomy. The definitive procedure will begin 10-15 minutes after the massage. All blue nodes were removed, and any node received a blue lymphatic channel. After removing the blue nodes, the surrounding tissue was checked, and any remaining hard or large nodes were included in the specimen.</p>
                <p>In all cases, the specimen was cut in the cryostat and subsequently stained with hematoxylin and eosin (H&amp;E) for frozen section (FS) analysis and assessed by two cytopathologists. The rest of the tissue, as well as the FS blocks, were embedded in paraffin. Three slides were obtained from each block, and two or three sections were stained with H&amp;E. The results of both imprint cytology (IC) and FS examinations of the SLNB(s) were sent to the surgical team during surgery. The result of the H&amp;E examination was also sent to the surgery department after the operation.</p>
            </sec>
            <sec id="sec6">
                <title>Participants</title>
                <p>A total of 50 cases with an established diagnosis of breast carcinoma through core biopsy, a Tis, T1, or T2 primary breast tumor, and clinically no ipsilateral axilla lymph nodes were prospectively selected between January 2021 and July 2021.</p>
                <p>ALND was completed on a total of 50 cases. Since this is the first study in Indonesia, the authors believe that definitive treatment of the axilla at this stage should not vary from the established standard treatment, as approved by Hospital Ethics Committee Board. Following that, patients were to have direct ALND only if the SLN was positive on intraoperative assessment or could not be identified or if an initially negative SLN turned out to be positive on the paraffin slice. The fellows who had established their SLN mapping technique by participating a training course for one week were included in this research.</p>
            </sec>
            <sec id="sec7">
                <title>Variables</title>
                <p>We compared the ability of the fellow to make an identification of blue nodes after SLNB was done in 15 minutes as per Indonesia Board Certified Breast Surgeon guidelines.
                    <sup>
                        <xref ref-type="bibr" rid="ref6">6</xref>
                    </sup>
                </p>
                <p>The following characteristics were then listed in the special form: surgeons (fellow and attending surgeon), mastectomy versus breast-conserving surgery, site of injection, identified SLN, number of SLNs, Berg&#x2019;s level at which SLN was found, and a number of non-SLNs removed. The unfixed nodes were sent to the pathologist. The operation, which included ALND, was then completed. The same pathologist did all pathological analyses.</p>
                <p>Nodes were sliced at 3mm intervals. Frozen section and imprint cytology were performed on more than 1cm in size nodes. For nodes smaller than 1cm, only imprint cytology was done. All the nodes were routinely processed for permanent paraffin sections, and immunohistochemistry was performed if the paraffin block examination was inconclusive.</p>
                <p>The pathologist documented the following variables on the hospital form: SLN cytology (positive or negative), SLN frozen section, SLN paraffin sections, and ALND paraffin block sections.</p>
            </sec>
            <sec id="sec8">
                <title>Statistical methods</title>
                <p>A CUSUM analysis was completed for the ability to identify the blue node during SLNM, and duration times were needed to identify the blue node. The results were presented in the CUSUM chart, a graphical presentation of a series of consecutive procedures performed by attending and fellow. The CUSUM plot shows randomly at or above the horizontal line at an acceptable level of performance. Nevertheless, the slope will be upward and cross the decision interval when the operation is performed at unacceptable level. The sloping plot represents the surgeon&#x2019;s process of mastering a new skill.</p>
                <p>The sensitivity, specificity, negative predictive value, positive predictive value, and accuracy were determined for the frozen section analysis alone, and imprint cytology alone compared with final pathology results from the paraffin block as the gold standard. Sensitivity was defined as the positivity rate by the given assessment and the final pathological diagnosis. Specificity was defined as the rate of negativity by the given assessment and final pathological diagnosis. The negative predictive value was defined as the rate of negativity by the given assessment and the final pathological diagnosis.</p>
            </sec>
        </sec>
        <sec id="sec9" sec-type="results">
            <title>Results</title>
            <p>50 SLNB procedures were performed during the study interval. Two fellows performed 25 SLNB during this research and three attending performed 25 cases. Quality indicators for successfull SLN mapping include identification rates (ID), false negative rates (FNR), the time need to identification, and complication rates. We compared the pattern of attending and fellow while doing SLNB (
                <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Cumulative sum (CUSUM) chart with number of lymph nodes per case.</title>
                    <p>AS &#x2013; attending surgeon; FS &#x2013; fellow surgeon; LCL &#x2013; lower cut limit; UCL &#x2013; upper cut limit.</p>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/134391/9cbdcaf8-6b4c-4968-9b4d-fe489d4b7021_figure1.gif"/>
            </fig>
            <p>The blue line represents the attending surgeon, and the orange line represents the fellow surgeon. The yellow lines show the upper decision boundary H1 (if the learning curve crosses H1 from below, it means that the failure is more remarkable than expected and that the process is out of control, and associations must be found) while the blue lines show the lower decision boundary H0 (if the learning curve crosses H0 from above, it means that the measured percentage failure does not differ from the acceptable failure rate with a type1 error equal to, and a type 2 error equal to). When the student crosses the H0 boundary, it is considered that the proficiency level has been achieved for the assessed procedure. As we can see after the initial 13 cases, the trainee's performance to assess the blue node in the SLNB procedure is relatively flat, and competency was achieved. There was a significant difference (p&lt;0.05) in how the attending and fellow surgeons completed that SLNB but, as we can see on the graph, the blue and orange lines are still acceptable because they never crossed the boundaries.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
            </p>
            <p>The results of the frozen section examination show sensitivity 97.5%, specificity 11.1%, positive predictive value (PPV) 97.5%, negative predictive value (NPV) 88.9%, and accuracy value 95.9% (
                <xref ref-type="table" rid="T1">Table 1</xref>). This means that the examination of the number of lymph nodes using the frozen section is accurate enough to be able to predict the patient's lymph nodes. The imprint examination results are shown with sensitivity 97.4%, specificity 27.3%, PPV 92.5%, NPV 88.9%, and accuracy value 91.8%.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Comparison of frozen section and imprint cytology.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="2" valign="top"/>
                            <th align="left" colspan="1" rowspan="2" valign="top">Sensitivity</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Specificity</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">PPV</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">NPV</th>
                            <th align="left" colspan="1" rowspan="2" valign="top">Accuracy</th>
                            <th align="left" colspan="2" rowspan="1" valign="top">Confidence interval</th>
                        </tr>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Lower bound</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Upper bound</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Identification of methylene blue</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">85.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">100.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">30.0</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.50</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.83</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Frozen section</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">97.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11.1</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">97.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">88.9</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">95.9</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.82</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.04</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Imprint cytology</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">97.4</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">27.3</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">92.5</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">88.9</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">91.8</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.79</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.02</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>NPV &#x2013; Negative predictive value; PPV &#x2013; Positive predictive value.</p>
                </table-wrap-foot>
            </table-wrap>
        </sec>
        <sec id="sec10" sec-type="discussion">
            <title>Discussion</title>
            <p>The SLNB is one of the essential procedures in breast cancer surgery that oncologist surgeons should master during their training. Many criteria influence whether a surgeon can do a particular operation, including their medical knowledge, specific training, and level of expertise. Under the supervision of a supervisor, the skill to perform a surgical technique is usually acquired through a process of observation, learning, and repetition.</p>
            <p>In general, a combination of informal assessment and peer review and more formal accreditation, credentialing, or privilege can be used to ensure the quality of medical practice. The assessment, review, or credentialing process is frequently subjective and lacks specific standards of practice. It has been suggested that comparative treatment result data on specific physician performance benchmarks are required to establish a single process's credibility.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>The CUSUM chart can be used as one tool to assess the level of competence and has been widely used to evaluate the achievement of the learning curve for some new procedures in surgical fields. The CUSUM curve is a control chart that can monitor shifts in the process mean. The target is the plot should not be widely variable from the reference value (attending performance).</p>
            <p>In our result, we can see on 
                <xref ref-type="fig" rid="f1">Figure 1</xref> that there wasn&#x2019;t wide variability between the attending and fellow surgeons while doing this procedure. The required level of competence of fellow breast surgeons in Indonesia can be achieved in a shorter time. The fellow surgeon in this study comes from the general surgeon who has experience and is familiar with mastectomy procedures, including axillary clearance as a part competency that should be achieved to be a general surgeon in rural areas. Successful SLN biopsy depends primarily on accurate identification of the metatstatic route. Knowledge of the anatomy of the lymphatics is important. This accuisision part can be easily attained by fellow surgeons.</p>
            <p>However, there are several problems with using CUSUM analysis to assess performance in procedural skills. First, there are no nationally agreed definitions for success or failure at any given procedure, and those used in the literature vary greatly.</p>
            <p>There is currently no consensus on where the acceptable and unacceptable boundaries should be set or to what degree alpha and beta errors should be tolerated. Tight boundaries are essential for quality control and for assessing trained individuals, but should these boundaries be much more comprehensive for the novice trainee to allow for their learning curve and to provide encouragement and a sense of achievement? The number of competent doctors produced can increase dramatically simply by altering the boundaries. Therefore, if procedural competency is to be defined by CUSUM, it would be necessary to establish national rates. These would need to be tailored to the trainee's experience.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
            </p>
            <p>Second, in this research, we have not included the characteristic of patients in the analysis; the size of the tumor, location of the tumor, and type of surgery probably have influenced the achievement of the procedure.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> This assumption was based on our judgment that we only included breast cancer which restricted criteria to take part in this research.</p>
            <p>Intraoperatively, FS and IC can be used to evaluate SLNs. Although cytologic procedures are faster than FS and may not result in significant nodal tissue loss, they may be difficult to confirm because they rely on cytology material. Requiring FS would further limit the transferability of SLNB to tertiary hospitals and lengthen the duration of the procedure and the length of stay of the surgeon in the operating room. All surgery should be done in a quick in and out setting in the COVID-19 era. Imprint cytology has recently been shown to be equally effective as FS, as shown in our result. It turns out more specific than FS in detecting SLN metastatic activity when performed by skilled pathologists, particularly those with cytology competence. There were mixed results when it came to using IC instead of FS to detect lymph node metastases in SLNB.</p>
            <p>The frozen section may provide information on metastasis size, but it results in tissue loss for permanent sections; it is a time-consuming and expensive technique that necessitates a cryostat and skilled professionals. Touch imprint cytology requires less work, is faster, and saves tissue for permanent sections; however, pathologists must be trained in cytology sample reporting. Intraoperative cytology yields rapid results with minimal artifacts. In cytology samples, however, the number of cells analyzed is less.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Several studies comparing FS and IC in the intraoperative examination of sentinel lymph nodes found a substantial difference in sensitivity between 44% and 100% for FS and 34% to 95% for IC.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> However, the variations in methods used in intraoperative and permanent section histopathologic evaluations make it impossible to compare research with reliability. Tew 
                <italic toggle="yes">et al.,</italic> reviewed 31 papers that compared touch imprint cytology (TIC) and FS in the literature and found that touch imprint cytology had a sensitivity of 63% overall, with a pooled sensitivity of 81% for macrometastases and 22% for micrometastases.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> A similar meta-analysis of frozen section examination reported a sensitivity of 78% overall, with 94% for macrometastases and 40% for micrometastases. In most investigations that compared IC and FS, there was no statistically significant difference between the two methods despite FS having higher sensitivity.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Inadequate sampling causes decreased TIC sensitivity, which can be solved by increasing the number of slides used in touch imprint cytology. This can improve the method's sensitivity without losing tissue for permanent histological examination. The high specificity of both the frozen section and intraoperative cytology approaches revealed that both procedures have low false-positive rates. Low nuclear grade metastatic tumors, particularly lobular carcinomas, have higher false-negative rates for both modalities of intraoperative SLN examination because the tumor cells are small and poorly cohesive. The authors compared the accuracy of the two approaches and discovered that imprint appears to be inferior for identifying the metastatic process in SLNB. By using CUSUM analysis we are able to analyze learning curves and threshold criteria for relevant individual achievement to mastering SLNB using methylen blue. Importantly, CUSUM analysis can be applied to assess these end points. A widely accepted methological approach in SLNB. Future studies are needed to validate the CUSUM analysis as a potential tool for defining milestones and competence benchmark that can be used to credentialing certification.</p>
        </sec>
        <sec id="sec11" sec-type="conclusion">
            <title>Conclusion</title>
            <p>Using the CUSUM chart, a reasonable choice of other parameters shows that experienced breast surgeons have completed the SLNB learning curve after 14 successful methylene blue attempts. In the presence of attending, this form of learning curve analysis can be applied to fellow surgeons by utilizing a proxy measure for failure, such as failure to identify the SLN.</p>
            <p>In terms of detecting SLN metastasis, IC appeared to be more specific than FS. Although IC is a simple and accurate method for screening SLN in breast cancer patients during surgery with high accuracy, FS remains the gold standard for detecting sentinel lymph node metastases.</p>
        </sec>
        <sec id="sec12">
            <title>Data availability</title>
            <sec id="sec13">
                <title>Underlying data</title>
                <p>Zenodo: Underlying data for &#x2018;Methylene Blue Sentinel Lymph Node Biopsy for Breast Cancer Learning Curve in Covid-19 era: How many cases are enough?.&#x2019; 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.6442807">https://doi.org/10.5281/zenodo.6442807</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup>
                </p>
                <p>This project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>-</label>
                            <p>Manuscript analysis.xlsx (underlying dataset for 50 procedures and analysis)</p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
        <sec id="sec14">
            <title>Reporting guidelines</title>
            <p>Zenodo: STROBE checklist for &#x2018;Underlying data for &#x2018;Methylene Blue Sentinel Lymph Node Biopsy for Breast Cancer Learning Curve in Covid-19 era: How many cases are enough?.&#x2019; 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.6442807">https://doi.org/10.5281/zenodo.6442807</ext-link>.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup>
            </p>
            <p>Data are available under the terms of the 
                <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments</title>
            <p>We thank Dr. Ricarhdo Valentino Hanafi for arranging this manuscript. We are keen to make our data, analytic methods, and study materials available to other researchers. The data are available in the Data availability section.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report155578">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.134391.r155578</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ung</surname>
                        <given-names>Owen</given-names>
                    </name>
                    <xref ref-type="aff" rid="r155578a2">2</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5308-5605</uri>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Mallett</surname>
                        <given-names>Tony</given-names>
                    </name>
                    <xref ref-type="aff" rid="r155578a1">1</xref>
                    <role>Co-referee</role>
                </contrib>
                <aff id="r155578a1">
                    <label>1</label>James Cook University, Townsville, Australia</aff>
                <aff id="r155578a2">
                    <label>2</label>University of Queensland, Brisbane, QLD, Australia</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>28</day>
                <month>11</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Mallett T and Ung O</copyright-statement>
                <copyright-year>2022</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="relatedArticleReport155578" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.122408.1"/>
            <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>Attaining technical proficiency in sentinel lymph node biopsy with patent blue alone is clearly highly relevant to the region of practice. As mentioned in the authors discussion section, determining measures of success and failure of this technique is challenging. We have included some issues below that should be clarified. 
                <list list-type="order">
                    <list-item>
                        <p>It would be valuable to have more data included such as the number of nodes removed for each case, how many were sentinel &amp; non-sentinel, distribution of tumour involvement by sentinel &amp; non-sentinel nodes. This would show how the sensitivity/NPV for blue dye alone were calculated for the whole series. It would also be useful to compare these results for fellow and attending cases to assess for any differences in accuracy, which is the end goal of sentinel lymph node biopsy rather than simply number of nodes removed.</p>
                    </list-item>
                    <list-item>
                        <p>With regards to CUSUM reasoning for the upper and lower cut limits should be included. At -1 lymph nodes it is clear that the lower limit could never be crossed. Is zero nodes deemed a failure? The upper cut limit of 4 does correspond to the generally accepted maximum number of sentinel nodes to be removed, is that how it was selected? This should be made clear in methodology.</p>
                    </list-item>
                    <list-item>
                        <p>A comment on any complications for the fellow &amp; attending series of cases should also be included.</p>
                    </list-item>
                </list> With the addition of the above attaining proficiency may be shown in terms of accuracy of results &amp; complication rate in addition to the efficiency of finding blue sentinel lymph nodes within the 15 minute time frame.</p>
            <p> </p>
            <p> It may be useful to review the SNAC trial
                <sup>
                    <xref ref-type="bibr" rid="rep-ref-155578-1">1</xref>
                </sup> to see how the authors presented their methodology &amp; results.</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>I cannot comment. A qualified statistician is required.</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>No</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>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Breast surgery</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however we have significant reservations, as outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-155578-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Sentinel-lymph-node-based management or routine axillary clearance? One-year outcomes of sentinel node biopsy versus axillary clearance (SNAC): a randomized controlled surgical trial.</article-title>
                        <source>
                            <italic>Ann Surg Oncol</italic>
                        </source>.<year>2009</year>;<volume>16</volume>(<issue>2</issue>) :
                        <elocation-id>10.1245/s10434-008-0229-z</elocation-id>
                        <fpage>266</fpage>-<lpage>75</lpage>
                        <pub-id pub-id-type="pmid">19050973</pub-id>
                        <pub-id pub-id-type="doi">10.1245/s10434-008-0229-z</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
        <sub-article article-type="response" id="comment9531-155578">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Azhar</surname>
                            <given-names>Yohana</given-names>
                        </name>
                        <aff>Padjadjaran University, Indonesia, Indonesia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>I have no conflict interest</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>3</day>
                    <month>4</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Thank you for your valuable insight. 
                    <list list-type="order">
                        <list-item>
                            <p>After long discussion with the team in this research we focus on CUSUM analysis to get new number regarding the achievement of trainee learning SLNB using methylene blue only. &#x00a0;In this regard &#x00a0;To avoid bias we only included trainee had already obtained internal validation in performing SLNB, including doing 20 SLNB procedures with identification rates above 95% and false negative rates below 5%.</p>
                        </list-item>
                        <list-item>
                            <p>We submit new version how CUSUM analysis be concluded in this site in detail.</p>
                        </list-item>
                        <list-item>
                            <p>No systemic anaphylactic reactions and postoperative complications related to the subdermal injection of methylene blue, such as allergic reactions and skin and parenchymal necrosis, occurred throughout the study. Patients who underwent BCS exhibited blue skin staining in the skin around the injection site, which remained for approximately 1&#x2013;2 months after the procedure. We didn&#x2019;t mention this because we thought this topic is not the aim of study.</p>
                        </list-item>
                    </list>
                </p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report148146">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.134391.r148146</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Hermansyah</surname>
                        <given-names>Dedy</given-names>
                    </name>
                    <xref ref-type="aff" rid="r148146a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-5980-2556</uri>
                </contrib>
                <aff id="r148146a1">
                    <label>1</label>Division of Surgical Oncology, Department of Surgery, Faculty of Medicine, Universitas Sumatera Utara, Medan, 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>8</day>
                <month>9</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Hermansyah D</copyright-statement>
                <copyright-year>2022</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="relatedArticleReport148146" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.122408.1"/>
            <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>I acknowledge that the design and aim of this study are interesting to be presented in a global oncologic forum since the accelerated learning curve of oncologist trainees should provide better care to society. However, I also believe the design of this study creates multi-focus research, due to both the SNLB's procedure competency by CUSUM chart learning curve and diagnostic accuracies of imprint cytology (IC) being analyzed. Hence, it is recommended to draw a fine-connecting line between those dots, whether is there any direct correlation between CUSUM results and ICs results? Is it by the usage of methylene blue only as a single-tracer?</p>
            <p> </p>
            <p> Utilization of methylene blue in SNLB biopsy to accelerate the learning curve among fellow surgeons in this biopsy is evidently favorable. Thus the need to apply dual tracers analysis in this study or fellow training can be abolished, especially in the settings of limited resources. However, the authors may need to explain more the methylene blue's role in both diagnostics tools, since this study concluded that FS is statistically better than ICs.</p>
            <p> </p>
            <p> The idea of applying CUSUM to accelerate the learning curve had been numerously implemented in several centers, e.g., by Park 
                <italic>et al.,</italic>
                <sup>
                    <xref ref-type="bibr" rid="rep-ref-148146-1">1</xref>
                </sup> in the video-assisted mini-laparotomy partial nephrectomy skill learning or Ospina 
                <italic>et al.</italic>,
                <sup>
                    <xref ref-type="bibr" rid="rep-ref-148146-2">2</xref>
                </sup> in anesthetic skills training. Similar accelerated outcomes were also reported, with fewer case-by-case learning rates necessary to reach specific competencies; even by the nationally established standards for breast surgeon fellows
                <sup>
                    <xref ref-type="bibr" rid="rep-ref-148146-3">3</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="rep-ref-148146-4">4</xref>
                </sup>.</p>
            <p> </p>
            <p> Nevertheless, applying the CUSUM analysis method may provide a prospective comparison of learning curve improvement, especially in the surgical- or procedure-related learning processes. Still, the fact that the authors decided to imply additional study on the comparison of IC and frozen-section (FS) unquestionably raises a question; where does the correlation lie between those analyses?&#x00a0;</p>
            <p> </p>
            <p> The first analysis of the CUSUM chart did provide substantial results to be analyzed. However, I believe the authors should elaborate on the figure in more depth since I did not find any acceptable condition of why a p-value of &lt;.05 is considered meaningful. What are the meaningful outcomes here? Is it the difference between attending and fellow surgeons? Thus if the differences were substantial, does it delineate that there was a "substantial" difference as well between both arm's skills? or it aimed to depict a significant result by reducing the need for SNLB procedure from 20 (national standard) to 13, especially during special conditions such as the COVID-19 pandemic? Please kindly re-elaborate it in the result section.&#x00a0;</p>
            <p> </p>
            <p> The authors also need to fix grammatical and rephrasing issues thoroughly, since I believe it is uneasy to understand the work at the first glance.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</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>Partly</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>Advanced oncologic care, breast cancer, general surgery, immuno-oncology science</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>
        <back>
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        <sub-article article-type="response" id="comment9530-148146">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Azhar</surname>
                            <given-names>Yohana</given-names>
                        </name>
                        <aff>Padjadjaran University, Indonesia, Indonesia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>I have no conflict of interest</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>3</day>
                    <month>4</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Thank you for your valuable input.</p>
                <p> </p>
                <p> After discussing with our team, we decided not to combine the two studies but only focus on CUSUM analysis research to assess how many cases the minimum trainee must achieve in mastering the Sentinel Lymph Node Biopsy technique using a single tracer Methylen Blue by increasing the number of samples and re-analyzing. Please find the new version of analysis on this site.</p>
            </body>
        </sub-article>
    </sub-article>
</article>
