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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2024.1382582</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Perspective</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparison of <sup>18</sup>F-DCFPyL and <sup>68</sup>Ga-PSMA-11 for <sup>177</sup>Lu-PSMA-617 therapy patient selection</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yadav</surname>
<given-names>Surekha</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2641538"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Sarasa T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Tuchayi</surname>
<given-names>Abuzar Moradi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2650168"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Fei</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1270390"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Morley</surname>
<given-names>Amanda</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2734433"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Saelee</surname>
<given-names>Rachelle</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yingbing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<contrib contrib-type="author">
<name>
<surname>Juarez</surname>
<given-names>Roxanna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lawnh-Heath</surname>
<given-names>Courtney</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Koshkin</surname>
<given-names>Vadim S.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/698659"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hope</surname>
<given-names>Thomas A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2666456"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Radiology and Biomedical Imaging, University of California, San Francisco</institution>, <addr-line>San Francisco, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Epidemiology &amp; Biostatistics, University of California, San Francisco</institution>, <addr-line>San Francisco, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco</institution>, <addr-line>San Francisco, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco</institution>, <addr-line>San Francisco, CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Radiology, San Francisco Veterans Affairs (VA) Medical Center</institution>, <addr-line>San Francisco, CA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Scott T. Tagawa, Cornell University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Clemens Kratochwil, Heidelberg University Hospital, Germany</p>
<p>Ismaheel Lawal, Emory University, United States</p>
<p>Maria Picchio, Vita-Salute San Raffaele University, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Thomas A. Hope, <email xlink:href="mailto:thomas.hope@ucsf.edu">thomas.hope@ucsf.edu</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1382582</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>05</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Yadav, Kim, Tuchayi, Jiang, Morley, Saelee, Wang, Juarez, Lawnh-Heath, Koshkin and Hope</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Yadav, Kim, Tuchayi, Jiang, Morley, Saelee, Wang, Juarez, Lawnh-Heath, Koshkin and Hope</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Purpose</title>
<p>
<sup>68</sup>Ga-PSMA-11 is recommended for the selection of patients for treatment in the package insert for <sup>177</sup>Lu-PSMA-617. We aimed to compare imaging properties and post-treatment outcomes from radioligand therapy (RLT) of patients selected with <sup>68</sup>Ga-PSMA-11 and <sup>18</sup>F-DCFPyL.</p>
</sec>
<sec>
<title>Methods</title>
<p>We retrospectively evaluated 80 patients undergoing PSMA RLT, who had pretreatment imaging using either <sup>68</sup>Ga-PSMA-11 or <sup>18</sup>F-DCFPyL. For both groups, we compared the biodistribution and lesion uptake and the PSA response to treatment.</p>
</sec>
<sec>
<title>Results</title>
<p>Both agents had comparable biodistribution. Patients initially imaged with <sup>18</sup>F-DCFPyL had a higher PSA response (66% vs. 42%), and more patients had a PSA50 response (72% vs. 43%) compared to patients imaged with <sup>68</sup>Ga-PSMA-11.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>
<sup>18</sup>F-DCFPyL and <sup>68</sup>Ga-PSMA-11 had comparable biodistribution and lesion uptake. Patients imaged with <sup>18</sup>F-DCFPyL demonstrated clinical benefit to PSMA RLT comparable to those imaged with <sup>68</sup>Ga-PSMA-11, and either agent can be used for screening patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>
<sup>68</sup>Ga-PSMA PET/CT</kwd>
<kwd>
<sup>18</sup>F-DCFPyL-PET/CT</kwd>
<kwd>
<sup>177</sup>Lu-PSMA</kwd>
<kwd>radioligand therapy (RLT)</kwd>
<kwd>mCRPC</kwd>
<kwd>patient screening</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="21"/>
<page-count count="6"/>
<word-count count="2500"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Genitourinary Oncology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>
<sup>177</sup>Lu-PSMA-617 radioligand therapy (RLT) has been shown to improve clinical outcomes and have a favorable safety profile in men with metastatic castration resistant prostate cancer (mCRPC) (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). In the phase 3 VISION study, <sup>177</sup>Lu-PSMA-617 RLT was shown to prolong overall survival (OS) and improve quality of life measures in patients with mCRPC relative to best supportive care (<xref ref-type="bibr" rid="B3">3</xref>), while the Phase 2 TheraP Trial demonstrated that <sup>177</sup>Lu-PSMA-617 resulted in a higher rate of PSA decline relative to cabazitaxel chemotherapy (<xref ref-type="bibr" rid="B4">4</xref>). When compared to conventional imaging, prostate-specific membrane antigen (PSMA)-based positron emission tomography (PET) has higher detection rates and greater diagnostic accuracy for patients with initial high risk, biochemically recurrent or persistent prostate cancer, and mCRPC (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). In this theranostic approach, PSMA PET is used for the screening of patients to demonstrate the presence of PSMA expression, which makes them eligible for PSMA RLT (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>There are three FDA-approved PSMA ligands for PET imaging: <sup>68</sup>Ga-PSMA-11 (gozetotide), <sup>18</sup>F-DCFPyL (piflufolostat), and rhPSMA-7.3 (posluma). A series of phase III trials have evaluated the use of <sup>68</sup>Ga-PSMA-11, <sup>18</sup>F-DCFPyL-PET/CT, and rhPSMA-7.3 in prostate cancer patients at initial staging and biochemical recurrence (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). Most consider the diagnostic utility of the three PSMA ligands to be equivalent at initial staging and biochemical recurrence. VISION and TheraP trials used <sup>68</sup>Ga-PSMA-11 PET for their trials due to the extensive clinical experience and wide availability (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Screen failures were later shown to be associated with poorer outcomes (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Despite the market availability of <sup>18</sup>F-DCFPyL, the <sup>177</sup>Lu-PSMA-617 (vipivotide tetraxetan) package insert specifically recommends selecting patients for treatment using <sup>68</sup>Ga-PSMA-11, as the imaging agent and the utility of other PSMA ligands to select patients remains unclear. We retrospectively evaluated patient outcomes and imaging properties of <sup>68</sup>Ga-PSMA-11 and <sup>18</sup>F-DCFPyL in patients undergoing PSMA RLT in order to help determine if <sup>18</sup>F-DCFPyL is appropriate to use for patient selection.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Material and methods</title>
<sec id="s2_1">
<title>Study population</title>
<p>In this study, we retrospectively screened individuals who underwent pre-treatment PET imaging with either <sup>68</sup>Ga-PSMA-11 or <sup>18</sup>F-DCFPyL before <sup>177</sup>Lu-PSMA-617 RLT at our institution from October 2021 to April 2023. The selection of radiopharmaceutical was determined by availability at each imaging center. Included patients had PSMA PET performed within 6 months prior to the first cycle of <sup>177</sup>Lu-PSMA-617 RLT. This study was approved by the institutional review board, and informed consent was waived.</p>
</sec>
<sec id="s2_2">
<title>PSMA PET acquisition</title>
<p>Patient preparation and administration of either of the PSMA ligands was done as per standard published guidelines (<xref ref-type="bibr" rid="B11">11</xref>). The median injected activity of <sup>68</sup>Ga-PSMA-11 was 5.7 mCi (4.9&#x2013;11.4). The median injected activity of <sup>18</sup>F-DCFPyL was 9.8 mCi (7.0&#x2013;11.7). Median uptake time was 58&#xa0;min (50&#x2013;102) for <sup>68</sup>Ga-PSMA-11 and 60&#xa0;min (52&#x2013;101) for <sup>18</sup>F-DCFPyL, respectively. A vertex to mid-thigh PET scan was performed using either PET/CT or PET/MRI.</p>
</sec>
<sec id="s2_3">
<title>Image interpretation</title>
<p>Each PSMA PET scan was interpreted using Visage (Visage Imaging). Five regions were recorded for the presence of prostate cancer including prostate bed (T), osseous (M1b), pelvic nodes (N), extrapelvic nodes (M1a), and visceral metastases (M1c). Maximum standardized uptake values (SUVmax) were recorded for osseous metastases, extrapelvic nodes, and visceral metastases with the highest uptake. Additionally, SUV was also recorded for physiological uptake in the liver (SUVmean) and parotid glands (SUVmax).</p>
</sec>
<sec id="s2_4">
<title>Response to RLT</title>
<p>Serum PSA levels served as the standard of reference for response assessment to <sup>177</sup>Lu-PSMA-617 RLT (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). The maximum decline in PSA that occurred anytime during or within 12 weeks of completion of RLT was taken for PSA response analysis. Baseline serum PSAs were drawn on the day of cycle 1 of RLT treatment, and the best PSA response during RLT was assessed for each patient. A decline of 50% from baseline PSA was defined as PSA50 response.</p>
</sec>
<sec id="s2_5">
<title>Statistical plan</title>
<p>Descriptive statistics in the form of median (interquartile) for continuous variable and count (percentage) for the binary variables was used to describe quantitative variables from the clinical data. While comparing the baseline characteristics between the groups imaged with <sup>68</sup>Ga-PSMA-11 and <sup>18</sup>F-DCFPyL; Student&#x2019;s t-test was used for the continuous variables and Fisher exact test was used for the discrete variables. A Student&#x2019;s t-test was conducted to assess the&#xa0;relationship between the lesion SUV and organ uptake between the groups imaged with <sup>68</sup>Ga-PSMA-11 and <sup>18</sup>F-DCFPyL. For the comparison of SUV and response, the median SUVmax was used to split the population evenly. p &lt;0.05 was considered significant. A comparison of the best overall post-treatment PSA relative to baseline PSA was made between <sup>68</sup>Ga-PSMA-11 and <sup>18</sup>F-DCFPyL using Student&#x2019;s t-test. The maximum decline in PSA during RLT was reported for each patient using waterfall plots.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patient characteristics</title>
<p>Of the 80 patients who received <sup>177</sup>Lu-PSMA-617 therapy at our institution from June 2022 to June 2023, 47 patients received <sup>68</sup>Ga-PSMA-11 and 33 patients received <sup>18</sup>F-DCFPyL for pre-treatment PET imaging. The patients in both these groups were similar for age, Gleason score, and pre-therapy PSA levels, and prior treatments. Patients imaged using <sup>68</sup>Ga-PSMA-11 had higher rates of prior radiation therapy. The two groups had a similar distribution of disease in the prostate/prostate bed, and metastatic disease to lymph nodes (N1), bone (M1a), soft tissue (M1b), and distant organs (M1c) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Patient demographics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">
<sup>68</sup>Ga-PSMA-11</th>
<th valign="middle" align="center">
<sup>18</sup>F-DCFPyL</th>
<th valign="middle" align="left">Overall</th>
<th valign="middle" align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Patients, n</td>
<td valign="middle" align="left">47</td>
<td valign="middle" align="left">33</td>
<td valign="middle" align="left">80</td>
<td valign="middle" align="left">Not available</td>
</tr>
<tr>
<td valign="middle" align="left">Age, median (IQ)</td>
<td valign="middle" align="left">74 (68, 80)</td>
<td valign="middle" align="left">72 (66, 78)</td>
<td valign="middle" align="left">72 (67, 79.25)</td>
<td valign="middle" align="left">0.36</td>
</tr>
<tr>
<td valign="middle" align="left">Gleason grade group median (IQ)</td>
<td valign="middle" align="left">5 (4, 5)</td>
<td valign="middle" align="left">4 (3, 5)</td>
<td valign="middle" align="left">4 (4, 5)</td>
<td valign="middle" align="left">0.93</td>
</tr>
<tr>
<td valign="middle" align="left">PSA at baseline median (IQ)</td>
<td valign="middle" align="left">11.8 (6.4, 74.63)</td>
<td valign="middle" align="left">27 (6, 103)</td>
<td valign="middle" align="left">22.35 (6.27, 92.72)</td>
<td valign="middle" align="left">0.39</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Prior Treatments (n, %)</th>
</tr>
<tr>
<td valign="middle" align="left">ADT, n (%)</td>
<td valign="middle" align="left">47 (100)</td>
<td valign="middle" align="left">33 (100)</td>
<td valign="middle" align="left">80 (100)</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">ARTT, n (%)</td>
<td valign="middle" align="left">47 (100)</td>
<td valign="middle" align="left">33 (100)</td>
<td valign="middle" align="left">80 (100)</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">Chemotherapy, n (%)</td>
<td valign="middle" align="left">46 (98)</td>
<td valign="middle" align="left">33 (100)</td>
<td valign="middle" align="left">79 (99)</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">Radical prostectomy, n (%)</td>
<td valign="middle" align="left">17 (36)</td>
<td valign="middle" align="left">8 (24)</td>
<td valign="middle" align="left">25 (31)</td>
<td valign="middle" align="left">0.33</td>
</tr>
<tr>
<td valign="middle" align="left">Radiation therapy, n (%)</td>
<td valign="middle" align="left">40 (85)</td>
<td valign="middle" align="left">22 (67)</td>
<td valign="middle" align="left">62 (78)</td>
<td valign="middle" align="left">0.06</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Site of disease</th>
</tr>
<tr>
<td valign="middle" align="left">Prostate bed, n (%)</td>
<td valign="middle" align="left">14 (30)</td>
<td valign="middle" align="left">9 (27)</td>
<td valign="middle" align="left">23 (29)</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">Bone, n (%)</td>
<td valign="middle" align="left">46 (98)</td>
<td valign="middle" align="left">31 (94)</td>
<td valign="middle" align="left">77 (96)</td>
<td valign="middle" align="left">0.57</td>
</tr>
<tr>
<td valign="middle" align="left">Lymph node, n (%)</td>
<td valign="middle" align="left">33 (70)</td>
<td valign="middle" align="left">24 (73)</td>
<td valign="middle" align="left">57 (71)</td>
<td valign="middle" align="left">1</td>
</tr>
<tr>
<td valign="middle" align="left">Visceral, n (%)</td>
<td valign="middle" align="left">18 (38)</td>
<td valign="middle" align="left">11 (33)</td>
<td valign="middle" align="left">29 (36)</td>
<td valign="middle" align="left">0.81</td>
</tr>
<tr>
<td valign="middle" align="left">Pre-therapy PSA, median (IQ)</td>
<td valign="middle" align="left">134.45 (42.58, 300.5)</td>
<td valign="middle" align="left">209.18 (36.76, 1307.99)</td>
<td valign="middle" align="left">134.45 (37.14, 465.36)</td>
<td valign="middle" align="left">0.22</td>
</tr>
<tr>
<td valign="middle" align="left">Post-therapy nadir PSA, median (IQ)</td>
<td valign="middle" align="left">51.9 (4.33, 150.79)</td>
<td valign="middle" align="left">32.72 (8.19, 419.27)</td>
<td valign="middle" align="left">36.71 (7.75, 204.68)</td>
<td valign="middle" align="left">0.27</td>
</tr>
<tr>
<td valign="middle" align="left">Administered activity (mCi) (median, range)</td>
<td valign="middle" align="left">5.72 (5.3, 6.4)</td>
<td valign="middle" align="left">9.82 (9.38, 10.27)</td>
<td valign="middle" align="left">6.6 (5.58, 9.6)</td>
<td valign="middle" align="left">0</td>
</tr>
<tr>
<td valign="middle" align="left">Time to imaging (mins) (median, IQ)</td>
<td valign="middle" align="left">58 (54.25, 66)</td>
<td valign="middle" align="left">60 (57.5, 64)</td>
<td valign="middle" align="left">60 (55, 66)</td>
<td valign="middle" align="left">0.66</td>
</tr>
<tr>
<td valign="middle" align="left">Interval between imaging and RLT (days) (median, IQ)</td>
<td valign="middle" align="left">72 (54&#x2013;106)</td>
<td valign="middle" align="left">64 (41&#x2013;77)</td>
<td valign="middle" align="left">67 (42&#x2013;95)</td>
<td valign="middle" align="left">0.26</td>
</tr>
<tr>
<td valign="middle" align="left">Median number of RLT cycles (IQ)</td>
<td valign="middle" align="left">4 (2, 5)</td>
<td valign="middle" align="left">4 (3, 6)</td>
<td valign="middle" align="left">4 (2, 6)</td>
<td valign="middle" align="left">0.25</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ADT, androgen deprivation therapy; ARTT, androgen receptor&#x2013;targeted therapy.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Physiological biodistribution</title>
<p>No statistically significant difference was observed between the two groups for the liver SUVmean (4.2 &#xb1; 1.7 for <sup>68</sup>Ga-PSMA-11 versus 4.2 &#xb1; 1.5 for <sup>18</sup>F-DCFPyL, p=0.99) or the parotid SUVmax (15.2 &#xb1; 5.4 for <sup>68</sup>Ga-PSMA-11 versus 14.5 &#xb1; 7.3 for <sup>18</sup>F-DCFPyL, p=65; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Physiological biodistribution and metastatic lesion parameters for <sup>68</sup>Ga-PSMA-11 and <sup>18</sup>F-DCFPyL.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Site</th>
<th valign="middle" align="center">
<sup>68</sup>Ga-PSMA-11<break/>Median SUV (IQR)</th>
<th valign="middle" align="center">
<sup>18</sup>F-DCFPyL Median SUV (IQR)</th>
<th valign="middle" align="center">p-value</th>
<th valign="middle" align="center">Overall Median SUV (IQR)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">Physiological biodistribution</th>
</tr>
<tr>
<td valign="middle" align="center">Parotid glands<break/>SUV max</td>
<td valign="middle" align="center">15.2 (&#xb1; 5.4)</td>
<td valign="middle" align="center">14.5 (&#xb1; 7.3)</td>
<td valign="middle" align="center">0.65</td>
<td valign="middle" align="center">14.9 (&#xb1; 6.2)</td>
</tr>
<tr>
<td valign="middle" align="center">Liver<break/>SUV mean</td>
<td valign="middle" align="center">4.2 (&#xb1; 1.7)</td>
<td valign="middle" align="center">4.3 (&#xb1; 1.5)</td>
<td valign="middle" align="center">0.99</td>
<td valign="middle" align="center">4.2 (&#xb1; 1.6)</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Metastatic lesions</th>
</tr>
<tr>
<td valign="middle" align="center">Extrapelvic lymph nodes</td>
<td valign="middle" align="center">28.9 (11.1&#x2013;37.1)</td>
<td valign="middle" align="center">29.7 (14.1&#x2013;43.5)</td>
<td valign="middle" align="center">0.33</td>
<td valign="middle" align="center">29.5 (12.6&#x2013;40.4)</td>
</tr>
<tr>
<td valign="middle" align="center">Osseous</td>
<td valign="middle" align="center">31.7 (15.0&#x2013;56.9)</td>
<td valign="middle" align="center">30.0 (25.3&#x2013;58.7)</td>
<td valign="middle" align="center">0.39</td>
<td valign="middle" align="center">30.6 (21.0&#x2013;58.2)</td>
</tr>
<tr>
<td valign="middle" align="center">Visceral</td>
<td valign="middle" align="center">11.2 (9.0&#x2013;20.9)</td>
<td valign="middle" align="center">28.7 (23.9&#x2013;32.2)</td>
<td valign="middle" align="center">0.04</td>
<td valign="middle" align="center">18.8 (9.5&#x2013;28.5)</td>
</tr>
<tr>
<td valign="middle" align="center">Most PSMA avid lesion</td>
<td valign="middle" align="center">34.4 (19.6&#x2013;60.7)</td>
<td valign="middle" align="center">34.0 (26.8&#x2013;60.8)</td>
<td valign="middle" align="center">0.79</td>
<td valign="middle" align="center">34.2 (23.0&#x2013;61.4)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Radiopharmaceutical and PSA response analysis</title>
<p>Among 47 patients imaged with <sup>68</sup>Ga-PSMA-11, 38 (80%) patients had PSA decrease relative to baseline. The average PSA response from baseline was 42%, and 20 (43%) patients had a &gt;50% reduction in PSA (PSA50). Among 33 patients imaged with <sup>18</sup>F-DCFPyL, 31 (93%) patients had PSA decrease relative to baseline (<xref ref-type="fig" rid="f1">
<bold>Figure 1</bold>
</xref>). The average PSA response from baseline was 65%, and 24 (72%) patients had a PSA50 response. The PSA50 response was higher for patients imaged with <sup>18</sup>F-DCFPyL prior to treatment compared to <sup>68</sup>Ga-PSMA-11 (p-value = 0.03; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>, <xref ref-type="fig" rid="f2">
<bold>Figure 2</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Waterfall plots of PSA response to RLT in patients with pretreatment PET imaging with <sup>68</sup>Ga-PSMA-11 <bold>(A)</bold> and <sup>18</sup>F-DCFPyL <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382582-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Two example patients imaged with 18F-DCFPyL <bold>(A)</bold> and 68Ga-PSMA-11 <bold>(B)</bold> including the SUVmax for both patients and maximum PSA response.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382582-g002.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Semi-quantitative comparison of metastatic lesions on pretreatment PET imaging</title>
<p>In comparing the highest SUVmax lesion for the three metastatic sites between the <sup>68</sup>Ga-PSMA-11 and <sup>18</sup>F-DCFPyL groups, no statistically significant difference was observed between the extrapelvic lymph nodes (p=0.33) or osseous lesions (p=0.39), respectively. For visceral metastatic lesions, <sup>18</sup>F-DCFPyL had a higher uptake than <sup>68</sup>Ga-PSMA-11 (median = 11.2 (9.0&#x2013;20.9) for <sup>68</sup>Ga-PSMA-11 = versus median = 28.7 (23.9&#x2013;32.2) for <sup>18</sup>F-DCFPyL, p=0.04; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>The median SUVmax across the overall population was 34.2 and was used to divide patients into two groups: those with high uptake (SUVmax &gt; 34.2) and those with low uptake (SUVmax &lt; 34.2). There was a trend to a higher PSA response in patients imaged with <sup>18</sup>F-DCFPyL compared to <sup>68</sup>Ga-PSMA-11, which was not statistically significant (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This is the first report of outcomes in patients treated with PSMA RLT, who were selected with <sup>18</sup>F-DCFPyL. We demonstrated that the biodistribution between the two agents was identical and showed that the PSA50 response in patients selected with <sup>18</sup>F-DCFPyL was higher than in patients selected for treatment with <sup>68</sup>Ga-PSMA-11. Although prior work has focused on the diagnostic utility of <sup>18</sup>F-DCFPyL, our results demonstrate that it is appropriate to use it for PSMA RLT screening.</p>
<p>The PSA response to RLT was higher in patients who underwent pretreatment PET imaging with <sup>18</sup>F-DCFPyL than those with <sup>68</sup>Ga-PSMA-11. This was unexpected, and it is unclear from our small patient numbers if this finding is generalizable. Overall, our results indicate that patients selected with <sup>18</sup>F-DCFPyL appear to benefit at least equally to PSMA RLT, which is consistent with guidelines that indicate that either agent can be used for patient selection (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>As has been previously reported, the biodistributions were similar between the two agents (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). The SUVmax of metastatic lesions are comparable for extrapelvic lymph nodes and osseous sites. While <sup>18</sup>F-DCFPyL outperforms <sup>68</sup>Ga-PSMA-11 in having higher uptake in visceral lesions, this is limited by the number of lesions included, and intra-patient comparison is needed to confirm that there is in fact higher uptake in visceral lesions.</p>
<p>This work has focused on the difference between <sup>18</sup>F-DCFPyL and <sup>68</sup>Ga-PSMA-11, but with the recent approval of rhPSMA-7.3, it is uncertain how our results can be extrapolated to include this newer radiopharmaceutical, especially given the partial hepatobiliary clearance seen with rhPSMA-7.3. Although rhPSMA-7.3 has been shown to have lower urinary excretion, which may lead to enhance visualization of local recurrence, the liver uptake is higher than in the other two agents. At this time, it is unclear what the threshold should be for patient selection when using rhPSMA-7.3.</p>
<p>Our study has several limitations. First, this was a retrospective study. This study is additionally subject to various confounders inherent to its lack of intra-patient comparison of the two imaging agents. Specifically, mCRPC exhibits significant heterogeneity, and our analysis only considers the lesion with highest avidity, which may not fully represent the disease burden. The <sup>18</sup>F-DCFPyL group received more treatment cycles, and their visceral metastatic lesions showed higher radiotracer avidity, which would be expected to impact the PSA response rate. In the absence of head-to-head trials, comparisons of reported radiopharmaceutical performance on outcomes should be interpreted with caution due to the significant impact of differing patient populations, treatment cycles, end points, scanning protocols, scanning equipment, and readers.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>Patients imaged with <sup>18</sup>F-DCFPyL demonstrated clinical benefit to PSMA RLT in this retrospective study. As previously shown, the physiological biodistribution and lesion uptakes at metastatic sites are comparable for both agents. Patients selected with <sup>18</sup>F-DCFPyL had higher PSA50 responses, but comparison to <sup>68</sup>Ga-PSMA-11 is limited given the many confounders. Although <sup>68</sup>Ga-PSMA-11 was utilized for patient selection in clinical trials of <sup>177</sup>Lu-PSMA-617, screening patients can be done using either of radiopharmaceuticals and should not be limited to <sup>68</sup>Ga-PSMA-11.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by institutional review board, University of California San Francisco. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was waived off from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SY: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Software, Project administration, Methodology, Investigation. SK: Writing &#x2013; review &amp; editing, Methodology, Investigation, Data curation. AT: Writing &#x2013; review &amp; editing, Project administration, Methodology, Data curation. FJ: Writing &#x2013; review &amp; editing, Validation, Software, Formal analysis. AM: Writing &#x2013; review &amp; editing, Project administration, Investigation, Data curation. RS: Writing &#x2013; review &amp; editing, Project administration, Investigation, Data curation. YW: Writing &#x2013; review &amp; editing, Validation, Supervision, Formal analysis. RJ: Writing &#x2013; review &amp; editing, Validation, Supervision, Formal analysis. CL: Writing &#x2013; review &amp; editing, Validation, Supervision, Formal analysis. VK: Writing &#x2013; review &amp; editing, Validation, Supervision, Formal analysis. TH: Writing &#x2013; review &amp; editing, Visualization, Validation, Supervision, Resources, Project administration, Methodology, Funding acquisition, Formal analysis, Conceptualization.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by an investigator initiated trial by Lantheus. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>TH has grant funding to the institution from Clovis Oncology, GE Healthcare, Lantheus, Janssen, the Prostate Cancer Foundation, Telix, and the National Cancer Institute R01CA235741 and R01CA212148. He received personal fees from Bayer and BlueEarth Diagnostics, Lantheus and received fees from and has an equity interest in RayzeBio and Curium.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2024.1382582/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2024.1382582/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hofman</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Violet</surname> <given-names>J</given-names>
</name>
<name>
<surname>Hicks</surname> <given-names>RJ</given-names>
</name>
<name>
<surname>Ferdinandus</surname> <given-names>J</given-names>
</name>
<name>
<surname>Thang</surname> <given-names>SP</given-names>
</name>
<name>
<surname>Akhurst</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>[ 177 Lu]-PSMA-617 radionuclide treatment in patients with metastatic castration-resistant prostate cancer (LuPSMA trial): a single-centre, single-arm, phase 2 study</article-title>. <source>Lancet Oncol</source>. (<year>2018</year>) <volume>19</volume>:<page-range>825&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(18)30198-0</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Heck</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Tauber</surname> <given-names>R</given-names>
</name>
<name>
<surname>Schwaiger</surname> <given-names>S</given-names>
</name>
<name>
<surname>Retz</surname> <given-names>M</given-names>
</name>
<name>
<surname>D'Alessandria</surname> <given-names>C</given-names>
</name>
<name>
<surname>Maurer</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Treatment outcome, toxicity, and predictive factors for radioligand therapy with 177Lu-PSMA-I&amp;T in metastatic castration-resistant prostate cancer</article-title>. <source>Eur Urology</source>. (<year>2019</year>) <volume>75</volume>:<page-range>920&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.eururo.2018.11.016</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sartor</surname> <given-names>O</given-names>
</name>
<name>
<surname>De Bono</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chi</surname> <given-names>KN</given-names>
</name>
<name>
<surname>Fizazi</surname> <given-names>K</given-names>
</name>
<name>
<surname>Herrmann</surname> <given-names>K</given-names>
</name>
<name>
<surname>Rahbar</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Lutetium-177&#x2013;PSMA-617 for metastatic castration-resistant prostate cancer</article-title>. <source>N Engl J Med</source>. (<year>2021</year>) <volume>385</volume>:<page-range>1091&#x2013;103</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa2107322</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hofman</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Emmett</surname> <given-names>L</given-names>
</name>
<name>
<surname>Sandhu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Iravani</surname> <given-names>A</given-names>
</name>
<name>
<surname>Joshua</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Goh</surname> <given-names>JC</given-names>
</name>
<etal/>
</person-group>. <article-title>[177Lu]Lu-PSMA-617 versus cabazitaxel in patients with metastatic castration-resistant prostate cancer (TheraP): a randomised, open-label, phase 2 trial</article-title>. <source>Lancet</source>. (<year>2021</year>) <volume>397</volume>:<fpage>797</fpage>&#x2013;<lpage>804</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(21)00237-3</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fizazi</surname> <given-names>K</given-names>
</name>
<name>
<surname>Herrmann</surname> <given-names>K</given-names>
</name>
<name>
<surname>Krause</surname> <given-names>BJ</given-names>
</name>
<name>
<surname>Rahbar</surname> <given-names>K</given-names>
</name>
<name>
<surname>Chi</surname> <given-names>KN</given-names>
</name>
<name>
<surname>Morris</surname> <given-names>MJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Health-related quality of life and pain outcomes with [177Lu]Lu-PSMA-617 plus standard of care versus standard of care in patients with metastatic castration-resistant prostate cancer (VISION): a multicentre, open-label, randomised, phase 3 trial</article-title>. <source>Lancet Oncol</source>. (<year>2023</year>) <volume>24</volume>:<fpage>597</fpage>&#x2013;<lpage>610</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(23)00158-4</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lawhn-Heath</surname> <given-names>C</given-names>
</name>
<name>
<surname>Salavati</surname> <given-names>A</given-names>
</name>
<name>
<surname>Behr</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Rowe</surname> <given-names>SP</given-names>
</name>
<name>
<surname>Calais</surname> <given-names>J</given-names>
</name>
<name>
<surname>Fendler</surname> <given-names>WP</given-names>
</name>
<etal/>
</person-group>. <article-title>Prostate-specific membrane antigen PET in prostate cancer</article-title>. <source>Radiology</source>. (<year>2021</year>) <volume>299</volume>:<page-range>248&#x2013;60</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1148/radiol.2021202771</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hope</surname> <given-names>TA</given-names>
</name>
<name>
<surname>Eiber</surname> <given-names>M</given-names>
</name>
<name>
<surname>Armstrong</surname> <given-names>WR</given-names>
</name>
<name>
<surname>Juarez</surname> <given-names>R</given-names>
</name>
<name>
<surname>Murthy</surname> <given-names>V</given-names>
</name>
<name>
<surname>Lawhn-Heath</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Diagnostic accuracy of <sup>68</sup> ga-PSMA-11 PET for pelvic nodal metastasis detection prior to radical prostatectomy and pelvic lymph node dissection: A multicenter prospective phase 3 imaging trial</article-title>. <source>JAMA Oncol</source>. (<year>2021</year>) <volume>7</volume>:<fpage>1635</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamaoncol.2021.3771</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fendler</surname> <given-names>WP</given-names>
</name>
<name>
<surname>Calais</surname> <given-names>J</given-names>
</name>
<name>
<surname>Eiber</surname> <given-names>M</given-names>
</name>
<name>
<surname>Flavell</surname> <given-names>RR</given-names>
</name>
<name>
<surname>Mishoe</surname> <given-names>A</given-names>
</name>
<name>
<surname>Feng</surname> <given-names>FY</given-names>
</name>
<etal/>
</person-group>. <article-title>Assessment of <sup>68</sup> ga-PSMA-11 PET accuracy in localizing recurrent prostate cancer: A prospective single-arm clinical trial</article-title>. <source>JAMA Oncol</source>. (<year>2019</year>) <volume>5</volume>:<fpage>856</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamaoncol.2019.0096</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Morris</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Rowe</surname> <given-names>SP</given-names>
</name>
<name>
<surname>Gorin</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Saperstein</surname> <given-names>L</given-names>
</name>
<name>
<surname>Pouliot</surname> <given-names>F</given-names>
</name>
<name>
<surname>Josephson</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Diagnostic performance of 18F-DCFPyL-PET/CT in men with biochemically recurrent prostate cancer: results from the CONDOR phase III, multicenter study</article-title>. <source>Clin Cancer Res</source>. (<year>2021</year>) <volume>27</volume>:<page-range>3674&#x2013;82</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/1078-0432.CCR-20-4573</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hofman</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Lawrentschuk</surname> <given-names>N</given-names>
</name>
<name>
<surname>Francis</surname> <given-names>RJ</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Vela</surname> <given-names>I</given-names>
</name>
<name>
<surname>Thomas</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Prostate-specific membrane antigen PET-CT in patients with high-risk prostate cancer before curative-intent surgery or radiotherapy (proPSMA): a prospective, randomised, multicentre study</article-title>. <source>Lancet</source>. (<year>2020</year>) <volume>395</volume>:<page-range>1208&#x2013;16</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(20)30314-7</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fendler</surname> <given-names>WP</given-names>
</name>
<name>
<surname>Eiber</surname> <given-names>M</given-names>
</name>
<name>
<surname>Beheshti</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bomanji</surname> <given-names>J</given-names>
</name>
<name>
<surname>Calais</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ceci</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>PSMA PET/CT: joint EANM procedure guideline/SNMMI procedure standard for prostate cancer imaging 2.0</article-title>. <source>Eur J Nucl Med Mol Imaging</source>. (<year>2023</year>) <volume>50</volume>:<page-range>1466&#x2013;86</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-022-06089-w</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kratochwil</surname> <given-names>C</given-names>
</name>
<name>
<surname>Fendler</surname> <given-names>WP</given-names>
</name>
<name>
<surname>Eiber</surname> <given-names>M</given-names>
</name>
<name>
<surname>Hofman</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Emmett</surname> <given-names>L</given-names>
</name>
<name>
<surname>Calais</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Joint EANM/SNMMI procedure guideline for the use of 177Lu-labeled PSMA-targeted radioligand-therapy (177Lu-PSMA-RLT)</article-title>. <source>Eur J Nucl Med Mol Imaging</source>. (<year>2023</year>) <volume>50</volume>:<page-range>2830&#x2013;45</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-023-06255-8</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pienta</surname> <given-names>KJ</given-names>
</name>
<name>
<surname>Gorin</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Rowe</surname> <given-names>SP</given-names>
</name>
<name>
<surname>Carroll</surname> <given-names>PR</given-names>
</name>
<name>
<surname>Pouliot</surname> <given-names>F</given-names>
</name>
<name>
<surname>Probst</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>A phase 2/3 prospective multicenter study of the diagnostic accuracy of prostate specific membrane antigen PET/CT with <sup>18</sup> F-DCFPyL in prostate cancer patients (OSPREY)</article-title>. <source>J Urology</source>. (<year>2021</year>) <volume>206</volume>:<fpage>52</fpage>&#x2013;<lpage>61</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/JU.0000000000001698</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jani</surname> <given-names>AB</given-names>
</name>
<name>
<surname>Ravizzini</surname> <given-names>GC</given-names>
</name>
<name>
<surname>Gartrell</surname> <given-names>BA</given-names>
</name>
<name>
<surname>Siegel</surname> <given-names>BA</given-names>
</name>
<name>
<surname>Twardowski</surname> <given-names>P</given-names>
</name>
<name>
<surname>Saltzstein</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Diagnostic performance and safety of <sup>18</sup> F-rhPSMA-7.3 positron emission tomography in men with suspected prostate cancer recurrence: results from a phase 3, prospective, multicenter study (SPOTLIGHT)</article-title>. <source>J Urology</source>. (<year>2023</year>) <volume>210</volume>:<fpage>299</fpage>&#x2013;<lpage>311</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/JU.0000000000003598</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Surasi</surname> <given-names>DS</given-names>
</name>
<name>
<surname>Eiber</surname> <given-names>M</given-names>
</name>
<name>
<surname>Maurer</surname> <given-names>T</given-names>
</name>
<name>
<surname>Preston</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Helfand</surname> <given-names>BT</given-names>
</name>
<name>
<surname>Josephson</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Diagnostic performance and safety of positron emission tomography with 18F-rhPSMA-7.3 in patients with newly diagnosed unfavourable intermediate- to very-high-risk prostate cancer: results from a phase 3, prospective, multicentre study (LIGHTHOUSE)</article-title>. <source>Eur Urol</source>. (<year>2023</year>), <fpage>S0302283823029494</fpage>.</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gafita</surname> <given-names>A</given-names>
</name>
<name>
<surname>Calais</surname> <given-names>J</given-names>
</name>
<name>
<surname>Grogan</surname> <given-names>TR</given-names>
</name>
<name>
<surname>Hadaschik</surname> <given-names>B</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Weber</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Nomograms to predict outcomes after 177Lu-PSMA therapy in men with metastatic castration-resistant prostate cancer: an international, multicentre, retrospective study</article-title>. <source>Lancet Oncol</source>. (<year>2021</year>) <volume>22</volume>:<page-range>1115&#x2013;25</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(21)00274-6</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Scher</surname> <given-names>HI</given-names>
</name>
<name>
<surname>Halabi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Tannock</surname> <given-names>I</given-names>
</name>
<name>
<surname>Morris</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sternberg</surname> <given-names>CN</given-names>
</name>
<name>
<surname>Carducci</surname> <given-names>MA</given-names>
</name>
<etal/>
</person-group>. <article-title>Design and end points of clinical trials for patients with progressive prostate cancer and castrate levels of testosterone: recommendations of the prostate cancer clinical trials working group</article-title>. <source>JCO</source>. (<year>2008</year>) <volume>26</volume>:<page-range>1148&#x2013;59</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.2007.12.4487</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Scher</surname> <given-names>HI</given-names>
</name>
<name>
<surname>Morris</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Stadler</surname> <given-names>WM</given-names>
</name>
<name>
<surname>Higano</surname> <given-names>C</given-names>
</name>
<name>
<surname>Basch</surname> <given-names>E</given-names>
</name>
<name>
<surname>Fizazi</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>Trial design and objectives for castration-resistant prostate cancer: updated recommendations from the prostate cancer clinical trials working group 3</article-title>. <source>JCO</source>. (<year>2016</year>) <volume>34</volume>:<page-range>1402&#x2013;18</page-range>.</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gafita</surname> <given-names>A</given-names>
</name>
<name>
<surname>Heck</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Rauscher</surname> <given-names>I</given-names>
</name>
<name>
<surname>Tauber</surname> <given-names>R</given-names>
</name>
<name>
<surname>Cala</surname> <given-names>L</given-names>
</name>
<name>
<surname>Franz</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Early prostate-specific antigen changes and clinical outcome after <sup>177</sup> lu-PSMA radionuclide treatment in patients with metastatic castration-resistant prostate cancer</article-title>. <source>J Nucl Med</source>. (<year>2020</year>) <volume>61</volume>:<page-range>1476&#x2013;83</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2967/jnumed.119.240242</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ferreira</surname> <given-names>G</given-names>
</name>
<name>
<surname>Iravani</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hofman</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Hicks</surname> <given-names>RJ</given-names>
</name>
</person-group>. <article-title>Intra-individual comparison of 68Ga-PSMA-11 and 18F-DCFPyL normal-organ biodistribution</article-title>. <source>Cancer Imaging</source>. (<year>2019</year>) <volume>19</volume>:<fpage>23</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s40644-019-0211-y</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Heilinger</surname> <given-names>J</given-names>
</name>
<name>
<surname>Weindler</surname> <given-names>J</given-names>
</name>
<name>
<surname>Roth</surname> <given-names>KS</given-names>
</name>
<name>
<surname>Krapf</surname> <given-names>P</given-names>
</name>
<name>
<surname>Schom&#xe4;cker</surname> <given-names>K</given-names>
</name>
<name>
<surname>Dietlein</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Threshold for defining PSMA-positivity prior to 177Lu-PSMA therapy: a comparison of [68Ga]Ga-PSMA-11 and [18F]F-DCFPyL in metastatic prostate cancer</article-title>. <source>EJNMMI Res</source>. (<year>2023</year>) <volume>13</volume>:<fpage>83</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13550-023-01033-x</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>