<?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.73232.1</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>[
                    <sup>18</sup>F]Fluoromethylcholine PET/CT for CNS lymphoma assessment: a new tool</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Marshall</surname>
                        <given-names>Kirsty</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3373-9392</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sharma</surname>
                        <given-names>Bhupinder</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/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Millard</surname>
                        <given-names>Thomas</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Chhabda</surname>
                        <given-names>Sahil</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</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="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sheikh</surname>
                        <given-names>Fayed</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Guilhem</surname>
                        <given-names>Emily</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9727-1090</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Cunningham</surname>
                        <given-names>Joel</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Du</surname>
                        <given-names>Yong</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Alexander</surname>
                        <given-names>Emma</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2357-2063</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Cunningham</surname>
                        <given-names>David</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-5158-1069</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Attygalle</surname>
                        <given-names>Ayoma</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Chau</surname>
                        <given-names>Ian</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Iyengar</surname>
                        <given-names>Sunil</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>El-Sharkawi</surname>
                        <given-names>Dima</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="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Royal Marsden NHS Trust Foundation Hospital, Sutton, UK</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:Dima.El-Sharkawi@rmh.nhs.uk">Dima.El-Sharkawi@rmh.nhs.uk</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>D Cunningham has received research funding from Amgen, Sanofi, Merrimack, AstraZeneca,&#13;
Celgene, MedImmune, Bayer, 4SC, Clovis, Eli Lilly, Janssen, Merck, and participated on the advisory board for OVIBIO. I Chau has received research funding from Eli-Lilly, Janssen-Cilag, Sanofi Oncology, received honorarium from Eli-Lilly, and participated advisory Board for Eli-Lilly, Bristol Meyers Squibb, MSD, Bayer, Roche, Merck-Serono, Five Prime Therapeutics, Astra-Zeneca, Oncologie International, Pierre Fabre and Boehringer Ingelheim. S Iyengar has received speaker fees from Takeda, honoraria from Abbvie and participated on the advisory board for Beigene, Gilead, Takeda. D El-Sharkawi has received speaker fees from Abbvie, AstraZeneca, Takeda, Roche, honoraria from AstraZeneca, Novartis, Takeda and participated on the advisory board for AstraZeneca, Abbvie, Janssen.&#13;
&#13;
The other authors declare that they have no conflicts of interest.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>10</day>
                <month>11</month>
                <year>2021</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2021</year>
            </pub-date>
            <volume>10</volume>
            <elocation-id>1137</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>19</day>
                    <month>10</month>
                    <year>2021</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Marshall K et al.</copyright-statement>
                <copyright-year>2021</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/10-1137/pdf"/>
            <abstract>
                <p>
                    <italic toggle="yes">Background</italic>
                </p>
                <p> Central nervous system (CNS) lymphomas are a rare subset of lymphoma, which are associated with a poor outcome. The gold standard for CNS imaging is with gadolinium-enhanced magnetic resonance imaging (MRI); however, there are a number of limitations, including some patients with small persistent abnormalities from scarring due to focal haemorrhage or from a previous biopsy, which can be difficult to discern from residual tumour. [ 
                    <sup>18</sup>F]Fluoromethylcholine positron emission tomography&#x2013;computed tomography (FCH-PET/CT) uses an analogue of choline, which due to the upregulation of choline kinase in tumour cells, allows increased uptake of FCH. As there is minimal background grey matter uptake of FCH, FCH-PET/CT can be used in CNS imaging and provide a useful tool for response assessment.</p>
                <p>
                    <italic toggle="yes">Methods</italic>
                </p>
                <p> This is a cohort study, where we identified 40 patients with a diagnosis of primary or secondary CNS lymphoma between 1 
                    <sup>st</sup> November 2011 and 10 
                    <sup>th</sup> October 2019.</p>
                <p>
                    <italic toggle="yes">Results</italic>
                </p>
                <p> 26 of the 40 patients (65%) had concordant results. Of the discordant results, 11 out of 14 had partial response (PR) on MRI but showed a metabolic complete response (mCR) on FCH-PET. The overall response rates (ORR) were similar between the two modalities (90% for MRI 
                    <italic toggle="yes">versus</italic> 95% with FCT-PET/CT).</p>
                <p>
                    <italic toggle="yes">Conclusion</italic>
                </p>
                <p> We conclude that FCH-PET/CT is a reasonable alternative mode of imaging to gadolinium-enhanced MRI brain imaging, providing a new tool for assessment of CNS lymphoma.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>CNS lymphoma</kwd>
                <kwd>imaging</kwd>
                <kwd>response assessment.</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>
        <p>
            <boxed-text id="B1" orientation="portrait" position="float">
                <label>Key messages</label>
                <p>
                    <list list-type="order">
                        <list-item>
                            <label>1.</label>
                            <p>There are no good prognostic scores to predict which patients with CNS lymphoma will do well following immunochemotherapy.</p>
                        </list-item>
                        <list-item>
                            <label>2.</label>
                            <p>Gold standard imaging with MRI has pitfalls, especially when discerning residual disease from focal scarring of haemorrhage.</p>
                        </list-item>
                        <list-item>
                            <label>3.</label>
                            <p>FCH-PET/CT is not inferior to MRI in end of treatment imaging in CNS lymphoma, but is yet to show superiority.</p>
                        </list-item>
                    </list>
                </p>
            </boxed-text>
        </p>
        <sec id="sec2" sec-type="intro">
            <title>Introduction</title>
            <p>Primary central nervous system lymphoma (PCNSL) is a rare type of B cell lymphoma, accounting for 1&#x2013;2% of all lymphomas
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> and approximately 4% of newly diagnosed CNS tumours.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Secondary CNS involvement occurs in 2.3&#x2013;10% of patients with systemic diffuse large B-cell lymphoma (DLBCL)
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> but can also occur in other lymphoma subtypes.</p>
            <p>Despite recent advances in treatment, with the addition of thiotepa to the methotrexate-cytarabine backbone,
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> prognosis for PCNSL remains poor with 2-year overall survival rates of between 42 and 69%, and only a fifth of patients being alive at 5 years.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> For secondary CNSL, the prognosis is even more dire, with median OS of 10 months.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> It is challenging to decipher which patient will do poorly, as only age and performance status having an impact on prognosis. Unlike other lymphoma types, most noticeably Hodgkin&#x2019;s lymphoma,
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> metabolic imaging has no role in response assessment and the associated prognostic impact and is confined to diagnostic staging to exclude concurrent systemic disease.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>The gold standard for CNS imaging is with gadolinium-enhanced magnetic resonance imaging (MRI).
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> However, MRI has its limitations. When used in end-of-treatment (EOT) imaging, some patients will have small persistent abnormalities from scarring due to focal haemorrhage or from a previous biopsy, which be difficult to discern from residual tumour and is currently classified as unconfirmed complete response (CRu).
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> There have also been recent safety concerns over exposure to gadolinium-based contrast agents (GBCAs) with case reports of the development of nephrogenic systemic fibrosis,
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> as well as gadolinium deposits in other organs.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> This led to the European Medicines Agency (EMA) restricting or suspending the use of linear gadolinium products in 2017.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
            </p>
            <p>Choline positron emission tomography&#x2013;computed tomography (PET/CT) uses analogues of choline as a radiotracer. Choline can be labelled with either [
                <sup>18</sup>F] fluoromethyl (
                <sup>18</sup>FCH) or [
                <sup>11</sup>C] carbon (
                <sup>11</sup>CH
                <sub>3</sub>). FCH was first developed as a radiotracer for PET imaging in 2000. Choline is a precursor of phospholipids, which upon entry to the cell, is phosphorylated by the enzyme choline kinase.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> The expression of choline kinase is upregulated in tumour cells and allows increased uptake of the choline tracer.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> There is evidence that MYC, which regulates lipid metabolism and can be overexpressed or translocated in high-grade lymphomas, plays a part in the increased uptake.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> MYC over-expression a poor prognosis in PCNSL with patients having a 5-fold higher 5-year risk of progression and/or death than those without.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> When Bcl-2 is also over-expressed (so called double expressor) the risk is 13-fold higher.</p>
            <p>As there is minimal background grey matter uptake of the tracer, FCH-PET/CT can be used to detect tumours with a high lesion-to-CNS background ratio and has been used in diagnosis and follow up imaging in brain tumours, particularly high-grade gliomas.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> There are case reports of both systemic and CNS lymphoma showing FCH-PET/CT avidity, including incidental lymphoma picked up during imaging for prostate cancer
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> and histology proven CNS lymphoma in brain tumour series.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> This contrasts with the lack of utility of the 2-deoxy-2-[
                <sup>18</sup>F]fluoro-D-glucose (FDG) PET/CT for CNS lymphoma analysis, due to high FDG physiological activity levels within the grey-white matter. Although high-grade CNS lymphomas do have a standard uptake value maximum (SUV
                <sub>max</sub>) greater than background grey-white matter at diagnosis (average SUV
                <sub>max</sub> 13.5&#x00b1;5.4 compared to background SUV
                <sub>max</sub> of 5.3&#x00b1;1.2),
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> for interim and EOT scanning the higher physiological background levels limit accurate detection of residual active disease.</p>
            <p>Our centre has been using FCH-PET/CT alongside MRI for CNS lymphoma assessment since 2011
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> following approval by the Administration of Radioactive Substances Advisory Committee (ARSAC). Our primary objective to to assess concordance between FCH-PET/CT and MRI.</p>
        </sec>
        <sec id="sec3" sec-type="methods">
            <title>Methods</title>
            <p>To assess concordance between FCH-PET/CT and gold standard MRI, our centre conducted a retrospective cohort analysis of patients who had EOT response assessment conducted using both modalities between 1
                <sup>st</sup> November 2011 and 10
                <sup>th</sup> October 2019 at the Royal Marsden Hospital, London. Approval for this study (approval number 782), including ethical approval was obtained from the Committee for Clinical Review (CCR). Patients with a histopathological or specialist neuroradiological (where biopsy was not feasible) diagnosis of primary or secondary CNS lymphoma who had an EOT MRI and FCH-PET/CT were identified from a radiology database. Patients who did not complete treatment, or had the imaging performed after consolidative therapy were excluded. Patient characteristics, clinical information, and survival data were collected from the electronic patient recorded (EPR). MRI and FCH-PET/CT reports were collected from EPR and PACS. EOT response was classified as either complete response (CR) for MRI/metabolic complete response (mCR) for FCH-PET/CT, partial response (PR), stable disease (SD) or disease progression (PD). MRI response was reported as per the International Primary CNS Lymphoma Collaborative Group (IPCG).
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> For FCH-PET/CT, PR is defined as reduction in activity (SUV
                <sub>max</sub>), PD is an increase in SUV
                <sub>max</sub>, SD as no change in SUV
                <sub>max</sub>, and mCR is defined as no activity. Statistical analysis was performed using IBM SPSS version 27 (RRID:SCR_019096), JASP (RRID:SCR_015823) is an open-access alternative. Survival analysis was evaluated using log-rank test.</p>
        </sec>
        <sec id="sec4" sec-type="results">
            <title>Results</title>
            <p>A total of 40 patients met the inclusion criteria. Patient characteristics are shown in 
                <xref ref-type="table" rid="T1">Table 1</xref>. PCNSL was the most common type of CNS lymphoma, and MATRix regimen the most common type of chemotherapy used. 16 patients (40%) were consolidated after EOT imaging, with autologous stem cell transplant (ASCT) being the preferred method.</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Patient characteristics.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="2" rowspan="1" valign="top"/>
                            <th align="left" colspan="1" rowspan="1" valign="top">(n = 40)</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Age at diagnosis</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Median</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">59</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Range</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">19-77</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Gender</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">21 (52.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">19 (47.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="5" valign="middle">Diagnosis</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">PCNSL</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24 (60.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">SCNSL</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1 (2.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Relapsed PCNSL</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (15.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">CNS relapse of systemic lymphoma</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6 (15.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3 (7.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="6" valign="middle">Chemotherapy</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">MATRix</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15 (37.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Methotrexate and cytarabine</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7 (17.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rituximab, methotrexate and cytarabine</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11 (27.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">TIER</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3 (7.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Rituximab, cytarabine and thiotepa</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (5.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Other</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2 (5.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Consolidation</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16 (40.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">24 (60.0%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Radiotherapy</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">5 (12.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35 (87.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="2" valign="middle">Autologous stem cell transplant</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11 (27.5%)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">29 (72.5%)</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <p>Abbreviations: PCNSL= primary central nervous system lymphoma, SCNSL= secondary central nervous system lymphoma, MATRix = methotrexate, cytarabine, thiotepa and rituximab, TIER = thiotepa, ifosphamide, etoposide and rituximab, PD = progressive disease.</p>
                </table-wrap-foot>
            </table-wrap>
            <p>14 patients (35%) had discordant results on EOT imaging. The majority of discordant cases (11 out of 14) were patients who had PR on MRI but showed CMR on FCH-PET/CT. In the remaining discordant three cases, two had PD on MRI with PR on FCH-PET/CT and one had CR on MRI and PR on FCH-PET/CT. 
                <xref ref-type="fig" rid="f1">Figure 1</xref> shows examples of two concordant cases and one discordant case.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Response assessment in large B-cell lymphoma of the central nervous system: contrast enhanced MRI and FCH-PET/CT.</title>
                    <p>
                        <italic toggle="yes">Top row.</italic> Histology &#x2013; large B-cell lymphoma, composed of sheets of large atypical lymphoid cells, (haemtoxylin and eosin [H&amp;E] stain) that are CD20 positive (inset). This patient had concordant MRI and FCH-PET/CT imaging findings throughout treatment. The baseline coronal CE T1W MRI demonstrates an enhancing lesion within the right thalamus and a focus of increased tracer uptake in the same region on the contemporaneous coronal FCH-PET/CT image (white circles). These areas of enhancement and tracer uptake had both resolved on the EOT imaging, consistent with radiological CR. Follow up imaging demonstrates a new focus of enhancement and corresponding tracer uptake within the left thalamus and cerebral peduncle on the coronal CE T1W MRI and FCH-PET/CT images, respectively (white circles). 
                        <italic toggle="yes">Middle row.</italic> Histology - large B-cell lymphoma, composed of sheets of large atypical lymphoid cells (H&amp;E stain) that are CD20 positive (inset). This patient had discordant findings between imaging modalities. The baseline axial CE T1W MRI shows an enhancing mass within the right medial temporal lobe and posterior insula (red circle). The contemporaneous choline PET-CT is concordant, demonstrating increased uptake in the same anatomical location (red circle). Partial response is achieved on the EOT CE T1W MRI as illustrated by interval reduction in size of the mass although some pathological enhancement remains (amber circle, this area was not hyperintense on the pre-contrast T1W imaging - not shown). The EOT choline PET-CT is discordant, showing metabolic complete response (amber circle). Follow up imaging shows resolution of the mesial temporal and insular enhancement (green circle) and ongoing normal physiological FCH tracer uptake in the cranium on the maximum intensity projection FCH-PET/CT reconstruction, consistent with radiological CR. 
                        <italic toggle="yes">Bottom rows.</italic> Histology - large B-cell lymphoma, composed of sheets of large atypical lymphoid cells, (H&amp;E stain, top panel) that are CD20 positive (middle panel) and display a high Ki 67 proliferation index (lower panel). This patient had a partial response which was concordant between modalities throughout treatment. The baseline axial CE T1W MRIs depict an enhancing lesion within the right side of the splenium of the corpus callosum (top, white arrows) and the left cingulate gyrus (bottom, blue arrows) with corresponding increased uptake on the axial FCH-PET/CT in the same regions. The splenial lesion has resolved on both the EOT MRI and FCH-PET/CT (top) but the left-sided lesion is still present on both modalities (bottom, blue arrows). Follow up imaging shows recurrence of the right-sided splenial lesion on both modalities (white arrows).</p>
                    <p>Abbreviations: CR = complete response, PR = partial response. CE T1W = contrast-enhanced T1 weighted. EOT = end of treatment.</p>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/76872/e790ee36-19e6-45c9-8f95-2aa543eead7c_figure1.gif"/>
            </fig>
            <p>For the whole cohort, the overall response rates (ORR) were similar between the two modalities. The ORR for MRI was 90%, with 16 patients (40%) achieving CR and 20 (50%) achieving PR. FCH-PET/CT had a slightly higher ORR of 95%, with 26 (65%) patients achieving mCR and 12 (30%) achieving PR.</p>
            <p>A total of 17 patients subsequently progressed (47%). The progression-free survival (PFS) was 78% at 100 days and 51% at 2 years. Overall survival (OS) was 61%.</p>
        </sec>
        <sec id="sec5" sec-type="discussion">
            <title>Discussion</title>
            <p>To our knowledge, this is the first published study for FCH-PET/CT imaging in CNS lymphoma.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> Our results showed a concordance rate of 65% between FCH-PET and MRI. 11 out of 14 discordant cases were in patients who achieved a PR by MRI, but were in mCR on FCH-PET/CT. This group had a clinical course similar to the patients who achieved a CR/mCR on both. One theory is that the residual enhancement seen on MRI was scarring or post-treatment changes and may have been better classified as CRu.</p>
            <p>There are no studies with direct comparison. A similar study by Ahn 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> looked at the prognostic value of metabolic imaging, using 
                <sup>11</sup>C-methionine (
                <sup>11</sup>C-MET) rather than FCH as a tracer. Imaging was done after four cycles of methotrexate-containing chemotherapy and again after completion of chemotherapy. The concordance at interim imaging between 
                <sup>11</sup>C-MET PET/CT and MRI was 89%, with four cases achieving CMR on 
                <sup>11</sup>C-MET PET/CT who had residual lesions on MRI. There are limited studies looking at the effect of FDG-PET/CT on prognosis. Bursen 
                <italic toggle="yes">et al</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup> showed PET negativity (defined as SUV uptake below physiologic background uptake) after two cycles of methotrexate-containing chemotherapy is associated with improved PFS but not OS. This conflicts with results from Jo 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> who showed improved PFS only with EOT and not interim scanning. Again, there was no difference in OS.</p>
            <p>Our study does have limitations. Our numbers are small and consist of a combination of primary and secondary CNSL as well as relapsed cases, which have different expected outcomes. There was also considerable variation in treatment and consolidation regimens, with the addition of thiotepa from 2016 onwards for young, fit patients. Therefore, the prognostic value of FCH-PET/CT could not be studied using this cohort. Further work is being done by our group to assess the prognostic value of FCH-PET/CT in patients with PCNSL who undergo ASCT.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup>
            </p>
            <p>We conclude that FCH-PET/CT is an important a new tool for assessment of CNS lymphoma. At the current time, its use may be limited to patients who have a contraindication to MRI.
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> Further studies are warranted evaluating the potential role for FCH-PET/CT in CNS lymphoma, including assessment of whether FCH PET/CT is superior to MRI in predicting persistent disease or identifying patients that need consolidation therapy.</p>
        </sec>
        <sec id="sec6">
            <title>Data availability</title>
            <sec id="sec7">
                <title>Underlying data</title>
                <p>OSF: Underlying data for &#x2018;[
                    <sup>18</sup>F] Fluoromethylcholine PET/CT for CNS lymphoma assessment: a new tool&#x2019; 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.17605/OSF.IO/KTNDG">https://doi.org/10.17605/OSF.IO/KTNDG</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup>
                </p>
                <p>The project contains the following underlying data:</p>
                <p>Data file 1: Patient database.</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="sec8">
            <title>Consent</title>
            <p>Written informed consent for publication of the patients&#x2019; details was obtained from the patients.</p>
        </sec>
        <sec id="sec9">
            <title>Author contributions</title>
            <p>KM wrote the initial draft of the manuscript. KM, SC, FS, EG, BS collected data. AA provided histopathology images. BS, SC, FS, EG provided radiology images. All authors contributed to design, review and redrafting of the manuscript.</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>The authors acknowledge National Health Service funding to the National Institute for Health Research Biomedical Research Centre (London, UK).</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report118906">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.76872.r118906</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kayani</surname>
                        <given-names>Irfan</given-names>
                    </name>
                    <xref ref-type="aff" rid="r118906a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6492-6692</uri>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Fraioli</surname>
                        <given-names>Francesco</given-names>
                    </name>
                    <xref ref-type="aff" rid="r118906a1">1</xref>
                    <role>Co-referee</role>
                </contrib>
                <aff id="r118906a1">
                    <label>1</label>Institute of Nuclear Medicine, University College London Hospital, London, UK</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>31</day>
                <month>1</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Kayani I and Fraioli F</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="relatedArticleReport118906" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.73232.1"/>
            <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 is an interesting study assessing the use of Fluoromethylcholine PET in CNS lymphoma suggesting that it may have a useful clinical role. As the authors state the main limitations of the study are the small sample size, heterogeneous tumour population, and treatment.</p>
            <p> </p>
            <p> 
                <bold>Methods and Results:</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>It would be useful to know the SUVmax / SUVr values for each scan</p>
                    </list-item>
                    <list-item>
                        <p>As PR status on Fcholine seems to fail to predict outcome could the authors comment on whether this might be improved by using a different method of assessment, e.g. quantitative analysis&#x00a0;</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>Discussion:&#x00a0;</bold>
            </p>
            <p> Is concise, well written, and on the whole balanced except for two points: 
                <list list-type="order">
                    <list-item>
                        <p>This is useful as a preliminary study suggesting a possible role for Fluoromethylcholine, and as the authors suggest most likely as an alternative in those who cannot have MRI. However, this would require further supportive data from future trials before clinical use.</p>
                    </list-item>
                    <list-item>
                        <p>A major feature of the results of this study was the high discordance in patients with a partial response on MRI but complete response on Fluoromethylcholine, The authors state that the clinical course of these patients was similar to those with a complete response on both imaging modalities and suggest the possibility that this may be due to residual enhancement on MRI secondary to scarring/post-treatment changes mimicking persistent tumour. However, looking at the underlying data table shows that 6 of 11 patients with partial response MR/CR Fcholine relapsed compared to 4 of 9 patients with partial response MR/PR Fcholine. Therefore another interpretation is that Fcholine status was not able to usefully differentiate patients with PR status on MRI indicating an unclear role for Fcholine. This may be due to the mentioned limitations of the study but is relevant as it is an obvious potential clinical use.&#x00a0;</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>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>radionuclide imaging, lymphoma imaging, PET/CT</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>
    </sub-article>
</article>
