<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Archiving and Interchange DTD v2.3 20070202//EN" "archivearticle.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="systematic-review" dtd-version="2.3" xml:lang="EN">
<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.2023.1216894</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>
<sup>68</sup>Ga-PSMA-11 PET/CT versus <sup>68</sup>Ga-PSMA-11 PET/MRI for the detection of biochemically recurrent prostate cancer: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Ruizhe</given-names>
</name>
<uri xlink:href="https://loop.frontiersin.org/people/2302527"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yizhen</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Haowen</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Boyi</given-names>
</name>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xuanjun</given-names>
</name>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Zhongxi</given-names>
</name>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>The First Clinical College, Changsha Medical University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Fabio Grizzi, Humanitas Research Hospital, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Matteo Droghetti, University of Bologna, Italy; Giuseppe Carlo Iorio, University of Turin, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zhongxi Zhang, <email xlink:href="mailto:zhzhxi@126.com">zhzhxi@126.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1216894</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>24</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Huang, Li, Wu, Liu, Zhang and Zhang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Huang, Li, Wu, Liu, Zhang and Zhang</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>Our aim was to conduct a meta-analysis and systematic review in order to compare the diagnostic efficacy of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI in patients with biochemically recurrent after radical prostatectomy and biochemically recurrent prostate cancers (BCR) after hybrid RT and RP.</p>
</sec>
<sec>
<title>Methods</title>
<p>Up until February 2023, we searched PubMed, Embase, and Web of Science for pertinent papers. Studies examining the utility of <sup>68</sup>Ga-PSMA-11 PET/CT or PET/MRI as a screening tool for biochemically recurrent prostate cancer were included. To measure heterogeneity, we employed the I<sup>2</sup> statistic. In cases of substantial heterogeneity (I<sup>2</sup> &gt; 50%), we used the random effect model to produce a forest plot. In other cases, we utilized the fixed model. Furthermore, we assessed the quality of the studies included using the Quality Assessment of Diagnostic Performance Studies (QUADAS-2) method.</p>
</sec>
<sec>
<title>Results</title>
<p>In total, 37 studies involving 8409 patients were examined. For <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI, the combined total detection rate was 0.70 (95% CI: 0.65-0.75) and 0.71 (95% CI:0.67-0.75), respectively. <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI did not substantially differ in terms of the overall detection rate for BCR <italic>(P = 0.58)</italic>. The detection rate was unaffected by the PSA values <italic>(all P &gt; 0.05)</italic>.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The diagnostic efficacy of <sup>68</sup>Ga-PSMA-11 PET/CT appears to be equivalent to that of <sup>68</sup>Ga-PSMA-11 PET/MRI in detecting biochemically recurrent prostate cancer. Nonetheless, it should be noted that not all studies have used pathological biopsies as the gold standard. Therefore, additional larger prospective studies are needed to address this issue.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>identifier CRD42023410039.</p>
</sec>
</abstract>
<kwd-group>
<kwd>PET/CT</kwd>
<kwd>PET/MRI</kwd>
<kwd>prostate cancer</kwd>
<kwd>biochemically recurrence</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="10"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="53"/>
<page-count count="15"/>
<word-count count="5005"/>
</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">
<label>1</label>
<title>Introduction</title>
<p>One of the most prevalent diseases in the world, prostate cancer (PCa) has an annual incidence increase of 3% from 2014 to 2019 (<xref ref-type="bibr" rid="B1">1</xref>). Radiation therapy and radical surgery are the two most frequently used treatments for prostate cancer. A rise in prostate-specific antigen (PSA) levels following treatment, however, is a sign that over 30% of people may still experience disease recurrence (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). In clinical practice, biochemical recurrence (BCR) of PCa is fairly typical. BCR is defined as an absolute rise in PSA level of 2 ng/ml over the lowest post-treatment PSA level following radiation therapy (RT) or a serum PSA level exceeding a threshold of 0.2 ng/ml twice after radical prostatectomy (RP) (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Imaging techniques are advised for individuals with biochemical recurrence who have serum prostate-specific antigen levels greater than 10 ng/mL or PSA doubling times shorter than 6 months (<xref ref-type="bibr" rid="B5">5</xref>). However, the ability of these traditional imaging techniques to diagnose aggressive lesions, bone involvement, and nodal metastases is restricted. It is essential to discover more sophisticated imaging techniques to detect the metastasis of the early BCR in order to increase diagnostic precision and select an appropriate treatment strategy.</p>
<p>EANM/SNMMI guidelines recently provided updated guidance and standards for the indication, acquisition, and interpretation of PSMA PET/CT for prostate cancer imaging (Fendler et&#xa0;al.). Currently, several guidelines highlight the superior accuracy of PSMA-ligand PET for staging primary disease (EAU, ESMO, NCCN) or consider additional value (ASCO) in this setting. PSMA-ligand PET/CT evaluation of BCR/BCP is recommended in documents produced by the EAU, ASCO, and NCCN (Fendler et&#xa0;al.). Moreover, evidence is growing in terms of PSMA-guided treatments, particularly metastases-directed therapy (Ceci et&#xa0;al., Rovera et&#xa0;al., Fendler et&#xa0;al., Phillips et&#xa0;al.) (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>A type II membrane glycoprotein with 750 amino acids, prostate-specific membrane antigen(PSMA), is highly produced in prostate cancer cells (<xref ref-type="bibr" rid="B10">10</xref>). As a result, PSMA is thought to be a good candidate for PCa PET scanning. There are several radiopharmaceuticals that target PSMA, including <sup>68</sup>Ga-PSMA-11, 18F-DCFPyL, and 18F-PSMA-1007 (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Gallium-68 (<sup>68</sup>Ga)-labeled prostate-specific membrane antigen (PSMA-11), a new PET radiopharmaceutical, has recently gained attention as a promising imaging tool for the identification of recurrent prostate cancer. In patients with rising PSA levels, <sup>68</sup>Ga-PSMA-11 PET has demonstrated great sensitivity and specificity for the detection of recurrent prostate cancer. However, uncertainty persists over the ideal imaging mode for <sup>68</sup>Ga-PSMA-11 PET.</p>
<p>Despite systematic reviews or meta-analyses have evaluated the diagnostic efficacy of <sup>68</sup>Ga-PSMA-11PET/CT and PET/MRI in earlier study, the amount of included article is insufficient (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B13">13</xref>). This meta-analysis will enable more detailed and objective comparison of the diagnostic performance of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11PET/MRI in detecting biochemical recurrent prostate. Our aim was to conduct a meta-analysis and systematic review in order to compare the diagnostic efficacy of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI in patients with biochemically recurrent prostate cancer in patient-based analysis.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Manuscript formatting</title>
<sec id="s2_1" sec-type="materials|methods">
<label>2.1</label>
<title>Materials and methods</title>
<p>This article was written according to Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy (PRISMA-DTA) guidelines. Moreover, our registration number is CRD42023410039.</p>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>Search strategy</title>
<p>The search strategy described below was used to perform a thorough search of the PubMed, Embase, and Web of Science databases until February 2023. (1) PET MRI OR PET MR OR positron emission tomography/magnetic resonance imaging OR PET CT OR positron emission tomography OR positron emission tomography/computed tomography; (2) regeneration OR recurrent OR relapse OR recrudescence; (3) prostate cancers OR prostate neoplasm OR prostate tumor OR prostatic tumor. For the reference list, we also go through the search and consider articles that may meet the inclusion criteria.</p>
</sec>
<sec id="s2_1_2">
<label>2.1.2</label>
<title>Inclusion and exclusion criteria</title>
<p>Only study that fulfilled all of the following requirements were included: (1) articles evaluating the diagnostic performance of <sup>68</sup>Ga-PSMA-11 PET/CT or <sup>68</sup>Ga-PSMA-11 PET/MRI for biochemically recurrent prostate cancer in patient-based analysis; (2) number of patients &#x2265; 10; (3) retrospective or prospective studies; (4) English articles. The exclusion criteria were: (1) Irrelevant topic; (2) duplicated articles; (3) case reports, abstract, letters, review, or meta-analysis; (4) The full-text versions of the selected articles were screen to see if they fulfilled the inclusion criteria after the titles and abstracts of the articles were assessed in accordance with the inclusion and exclusion criteria. Disagreements among the researchers were resolved by consensus.</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Quality assessment and data extraction</title>
<p>Two researchers separately evaluated the included studies&#x2019; quality using the Quality Assessment of Diagnostic Performance Studies (QUADAS-2) method. The applicability and bias risk of each study was assessed. Regarding bias risk and applicability, each study was given a rating of high, low, or unclear. A third reviewer was involved to resolve any possible conflicts. For the study, RevMan (version 5.4) was employed.</p>
<p>Two researchers independently extracted data for each of the included articles. The information that was extracted included the following: (1) the author, year of publication; (2) study characteristics, such as country, study design, analysis, and reference standard; (3) patient characteristics, such as number of patients, clinical indication, mean/median age, chemotherapy before PET; (4) technical characteristics, such as imaging test types, scanner modality, ligand dose, and time from injection to acquisition. When not explicitly mentioned, data were manually extracted from the literature, tables, and figures. We emailed the respective authors for more information when the paper lacked the information. Two researchers reached an accord to resolve their disagreements.</p>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Data synthesis and statistical analysis</title>
<p>Heterogeneity was assessed using the I<sup>2</sup> statistic. A forest plot was constructed in the random-effect model if the significant heterogeneity was observed (I<sup>2</sup> &gt; 50%), otherwise, the fixed model would be applied. All of them used DerSimonian and Laird method. Proportions were transformed with the Freeman-Tukey double inverse sine transformation, and confidence intervals were calculated using the Jackson method. For the presence of heterogeneity (I<sup>2</sup>&gt;50%), we used meta-regression and sensitivity analysis to find out the source of heterogeneity.</p>
<p>Publication bias was evaluated using Egger&#x2019;s test. A statistically significant P value was two-tailed and with the threshold of 0.05. Statistical analyses were performed in R software environment for statistical computing and graphics version 4.2.2</p>
</sec>
</sec>
<sec id="s2_3" sec-type="results">
<label>2.3</label>
<title>Results</title>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Literature search and study selection</title>
<p>After removing 2757 duplicate studies from the primary search, 3016 studies were identified out of the 5773 articles that were initially found. Based on the study&#x2019;s title or abstract, 1465 papers were disqualified. A total of 1496 investigations were collectively omitted from case reports, abstracts, letters, reviews, or meta-analyses. There were still 55 studies for full-text screening, and another 18 were disqualified due to the following reasons: non-English studies (n = 3); cannot extract positivity rate data (n = 7); and different radiotracers (n = 8). 37 studies that satisfied the criteria for the meta-analysis were finally included, including 25 articles for <sup>68</sup>Ga-PSMA-11 PET/CT (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>) and 13 articles for <sup>68</sup>Ga-PSMA-11 PET/MRI (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). One of the studies included not only <sup>68</sup>Ga-PSMA-11 PET/CT but also <sup>68</sup>Ga-PSMA-11 PET/MRI. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> illustrates the PRISMA flow chart of the study selection procedure.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The flow chart for the PRISMA study selection procedure.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g001.tif"/>
</fig>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Study description and quality assessment study description and quality assessment</title>
<p>The study and patient characteristics from the 37 studies covering 8409 patients were listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. <xref ref-type="table" rid="T2">
<bold>Tables&#xa0;2</bold>
</xref>, <xref ref-type="table" rid="T3">
<bold>3</bold>
</xref> showed the technical the parts. Additionally, using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool, a quality assessment of the relevant studies was conducted. The quality evaluation chart reveals that flow and timing are the key areas where there is a high risk of bias (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). This is due to the fact that most studies did not analyze all of the enrolled patients, which caused this issue. Overall, the risk of bias of the included articles was satisfactory.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of the studies and patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="center">Author</th>
<th valign="top" rowspan="2" align="center">Year</th>
<th valign="top" rowspan="2" align="center">Types of<break/>imaging<break/>tests</th>
<th valign="top" colspan="5" align="center">Study characteristics</th>
<th valign="top" colspan="2" align="center">Patient characteristics</th>
</tr>
<tr>
<th valign="top" align="center">Country</th>
<th valign="top" align="center">Study design</th>
<th valign="top" align="center">Analysis</th>
<th valign="top" align="center">No. of patients</th>
<th valign="top" align="center">PSA level prior to PET (ng/ml)</th>
<th valign="top" align="center">Mean/Median age</th>
<th valign="top" align="center">Previous treatment</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">G&#xfc;hne et&#xa0;al.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">Median = 1.3</td>
<td valign="top" align="center">Median = 70</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Duan et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Uprimny et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Austria</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">440</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Lengana et&#xa0;al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">South Africa</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">Mean = 2.6</td>
<td valign="top" align="center">Mean = 68.6</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Plaza L&#xf3;pez et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Spain</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">Mean = 1.8</td>
<td valign="top" align="center">Mean = 71.1</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Yuminaga et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Australia</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">384</td>
<td valign="top" align="center">Median = 0.5</td>
<td valign="top" align="center">Median = 69.5</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Tseng et&#xa0;al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">China</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">Median = 0.5</td>
<td valign="top" align="center">Median = 67</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Strauss et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">142</td>
<td valign="top" align="center">Median = 2.3</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Ribeiro et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Brazil</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Median = 69</td>
<td valign="top" align="center">NA</td>
</tr>
<tr>
<td valign="top" align="center">Morawitz et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">Median = 1.5</td>
<td valign="top" align="center">Median = 71</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Lawal et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">South Africa</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">247</td>
<td valign="top" align="center">Median = 2.7</td>
<td valign="top" align="center">Mean = 65.7</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Kroenke et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">127</td>
<td valign="top" align="center">Median = 0.7</td>
<td valign="top" align="center">Median = 69.0</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Jentjens et&#xa0;al.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Belgium</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">Median = 0.8</td>
<td valign="top" align="center">Median = 67.5</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Fourquet et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">France</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">294</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Mean = 68.0</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Dadgar et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Iran</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">Median = 1.7</td>
<td valign="top" align="center">Median = 72.0</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Cerci et&#xa0;al.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Brazil</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">1004</td>
<td valign="top" align="center">Mean = 1.6</td>
<td valign="top" align="center">Mean = 67.3</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Carvalho et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Portugal</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Afshar-Oromieh et&#xa0;al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">2533</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Median = 68</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Abghari-Gerst et&#xa0;al.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">1539</td>
<td valign="top" align="center">median:7</td>
<td valign="top" align="center">Mean = 67.3</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Seniaray et&#xa0;al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">India</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">170</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Regula et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Sweden</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">Median = 5</td>
<td valign="top" align="center">Median = 70</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Rauscher et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">102</td>
<td valign="top" align="center">Median = 0.9</td>
<td valign="top" align="center">Median = 69</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Radzina et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Latvia</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">Median = 1.1</td>
<td valign="top" align="center">Mean = 63</td>
<td valign="top" align="center">Mixed</td>
</tr>
<tr>
<td valign="top" align="center">Miksch et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">116</td>
<td valign="top" align="center">Mean = 0.2</td>
<td valign="top" align="center">Mean = 67.6</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Huits et&#xa0;al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">PET/CT</td>
<td valign="top" align="center">Netherlands</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">Median = 0.5</td>
<td valign="top" align="center">Mean = 65</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Glemser et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">median:1.6</td>
<td valign="top" align="center">mean:67.7</td>
<td valign="top" align="center">mixed</td>
</tr>
<tr>
<td valign="top" align="center">Afshar et&#xa0;al.</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">median:2.62</td>
<td valign="top" align="center">mean:69.6</td>
<td valign="top" align="center">mixed</td>
</tr>
<tr>
<td valign="top" align="center">Grubm&#xfc;ller et&#xa0;al.</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Austria</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">median:1.04</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Guberina et&#xa0;al.</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">median:1.64</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Mai et&#xa0;al.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Belgium</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">median:0.79</td>
<td valign="top" align="center">mean:67.5</td>
<td valign="top" align="center">mixed</td>
</tr>
<tr>
<td valign="top" align="center">Joshi et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Australia</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">median:0.69</td>
<td valign="top" align="center">median:68</td>
<td valign="top" align="center">mixed</td>
</tr>
<tr>
<td valign="top" align="center">T. Lake et&#xa0;al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">mean:7.9</td>
<td valign="top" align="center">mean:68.3</td>
<td valign="top" align="center">mixed</td>
</tr>
<tr>
<td valign="top" align="center">Kranzb&#xfc;hler et&#xa0;al.</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Switzerland</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">median:0.23</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">mixed</td>
</tr>
<tr>
<td valign="top" align="center">L&#xfc;tje et&#xa0;al. (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">mean3.9</td>
<td valign="top" align="center">mean:70.5</td>
<td valign="top" align="center">RP</td>
</tr>
<tr>
<td valign="top" align="center">Mapelli et&#xa0;al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Italy</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">mean:1.88</td>
<td valign="top" align="center">mean:70</td>
<td valign="top" align="center">mixed</td>
</tr>
<tr>
<td valign="top" align="center">Martinez et&#xa0;al. (<xref ref-type="bibr" rid="B4">4</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">USA</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">109</td>
<td valign="top" align="center">mean:5.56</td>
<td valign="top" align="center">mean:69</td>
<td valign="top" align="center">mixed</td>
</tr>
<tr>
<td valign="top" align="center">Alonso et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">India</td>
<td valign="top" align="center">Pro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">median:3.3</td>
<td valign="top" align="center">mean:64.7</td>
<td valign="top" align="center">mixed</td>
</tr>
<tr>
<td valign="top" align="center">Freitag et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">PET/MRI</td>
<td valign="top" align="center">Germany</td>
<td valign="top" align="center">Retro</td>
<td valign="top" align="center">PB</td>
<td valign="top" align="center">119</td>
<td valign="top" align="center">median:1.70</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">RP</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PB, patient-based; Pro, prospective; Retro, retrospective; NA, not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Technical aspects of included <sup>68</sup>Ga-PSMA-11 PET/MRI studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Scanner Modality(PET/MRI)</th>
<th valign="top" align="center">Ligand dose</th>
<th valign="top" align="center">Time from injection to acquisition</th>
<th valign="top" align="center">Image analysis</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">Glemser et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">71-287MBq</td>
<td valign="top" align="center">170min for PET/MRI</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Afshar et&#xa0;al.</td>
<td valign="top" align="center">2013</td>
<td valign="top" align="center">Siemens Biograph</td>
<td valign="top" align="center">76-259 MBq</td>
<td valign="top" align="center">90min for PET/MRI</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Grubm&#xfc;ller et&#xa0;al.</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">Siemens Biograph Mmr</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Guberina et&#xa0;al.</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">Siemens Biograph Mmr</td>
<td valign="top" align="center">66&#x2013;167 MBq</td>
<td valign="top" align="center">167min for PET/MRI</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Mai et&#xa0;al.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">GE Healthcare</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Joshi et&#xa0;al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">150MBq</td>
<td valign="top" align="center">45-60min for PET/MRI</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">T. Lake et&#xa0;al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">GE SIGNA PET/MR</td>
<td valign="top" align="center">201.5 &#xb1; 52.9 MBq</td>
<td valign="top" align="center">65min for PET/MRI</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Kranzb&#xfc;hler et&#xa0;al.</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">GE SIGNA PET/MR</td>
<td valign="top" align="center">130 &#xb1; 16 MBq</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">L&#xfc;tje et&#xa0;al. (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">Siemens Healthcare</td>
<td valign="top" align="center">118 &#xb1; 23 MBq</td>
<td valign="top" align="center">175 &#xb1; 45&#xa0;min for PET/MRI</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Mapelli et&#xa0;al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">SIGNA PET/MRI</td>
<td valign="top" align="center">129-288MBq</td>
<td valign="top" align="center">60min for PET/MRI</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Martinez et&#xa0;al. (<xref ref-type="bibr" rid="B4">4</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">Siemens Biograph mMR</td>
<td valign="top" align="center">148MBq</td>
<td valign="top" align="center">90min for PET/MRI</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Alonso et&#xa0;al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">GE Discovery</td>
<td valign="top" align="center">2.0 MBq/kg</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Freitag et&#xa0;al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">Siemens Biograph mMR</td>
<td valign="top" align="center">202 &#xb1; 69 MBq</td>
<td valign="top" align="center">70min for PET/MRI</td>
<td valign="top" align="center">quantitative</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Technical aspects of included <sup>68</sup>Ga-PSMA-11 PET/CT studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="center">Author</th>
<th valign="top" align="center">Year</th>
<th valign="top" align="center">Scanner Modality(PET/CT)</th>
<th valign="top" align="center">Ligand dose</th>
<th valign="top" align="center">Time from injection to acquisition</th>
<th valign="top" align="center">Image analysis</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="center">G&#xfc;hne et&#xa0;al.</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">Siemens Healthineers</td>
<td valign="top" align="center">243.2 &#xb1; 35.8MBq</td>
<td valign="top" align="center">71min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Duan et&#xa0;al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">GE Healthcare</td>
<td valign="top" align="center">146.5 &#xb1; 16.7MBq</td>
<td valign="top" align="center">86.8 &#xb1; 11.5min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Uprimny et&#xa0;al. (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">GE Healthcare</td>
<td valign="top" align="center">95.0&#x2013;216.0 MBq</td>
<td valign="top" align="center">67min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Lengana et&#xa0;al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Siemens Biograph 40</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">60min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Plaza L&#xf3;pez et&#xa0;al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">GE HealthCare</td>
<td valign="top" align="center">2.2 MBq/kg</td>
<td valign="top" align="center">60min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Yuminaga et&#xa0;al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Philips GEMINI TOF</td>
<td valign="top" align="center">150-300 MBq</td>
<td valign="top" align="center">50-70min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Tseng et&#xa0;al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Siemens Healthineers</td>
<td valign="top" align="center">88.4-182.8 MBq</td>
<td valign="top" align="center">60min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Strauss et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Siemens Biograph</td>
<td valign="top" align="center">193.6 &#xb1; 62.87MBq</td>
<td valign="top" align="center">80-90min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Ribeiro et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Philips Health</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">60min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Morawitz et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Siemens Healthineers</td>
<td valign="top" align="center">182 &#xb1; 45 MBq</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Lawal et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Siemens Medical Solution</td>
<td valign="top" align="center">2MBq/kg</td>
<td valign="top" align="center">60min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Kroenke et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Siemens Medical Solutions</td>
<td valign="top" align="center">51-248 MBq</td>
<td valign="top" align="center">42-116min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Jentjens et&#xa0;al.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Siemens Healthineers</td>
<td valign="top" align="center">1.8MBq/kg</td>
<td valign="top" align="center">60min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Fourquet et&#xa0;al. (<xref ref-type="bibr" rid="B27">27</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Philips Medical Systems</td>
<td valign="top" align="center">1.2MBq/kg</td>
<td valign="top" align="center">60-90min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Dadgar et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Siemens</td>
<td valign="top" align="center">126-187 MBq</td>
<td valign="top" align="center">60min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Cerci et&#xa0;al.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">2MBq/kg</td>
<td valign="top" align="center">60-90min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Carvalho et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">Siemens Biography</td>
<td valign="top" align="center">2MBq/kg</td>
<td valign="top" align="center">60min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Afshar-Oromieh et&#xa0;al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">52&#x2013;480 MBq</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Seniaray et&#xa0;al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">132&#x2013;222 MBq</td>
<td valign="top" align="center">45 &#xb1; 15min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Regula et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">GE Healthcare</td>
<td valign="top" align="center">1.3&#x2013;2.9 MBq/kg</td>
<td valign="top" align="center">60-78min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Rauscher et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Biograph-Mct</td>
<td valign="top" align="center">94&#x2013;232 MBq</td>
<td valign="top" align="center">41-85min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Radzina et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Gemini TF64</td>
<td valign="top" align="center">1.8-2.2 MBq/kg</td>
<td valign="top" align="center">51-81min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
<tr>
<td valign="top" align="center">Miksch et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Siemens Biograph-Mct</td>
<td valign="top" align="center">162.7 &#xb1; 22.3 MBq</td>
<td valign="top" align="center">64.4 &#xb1; 12.2min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Huits et&#xa0;al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">Philips Ingenuity</td>
<td valign="top" align="center">2.0 MBq/kg</td>
<td valign="top" align="center">60min for PET/CT</td>
<td valign="top" align="center">qualitative</td>
</tr>
<tr>
<td valign="top" align="center">Abghari-Gerst et&#xa0;al.</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">GE Discovery</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">61min for PET/CT</td>
<td valign="top" align="center">quantitative</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Graph of risk of bias and applicability of all eligible studies based on QUADAS-2 tool.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g002.tif"/>
</fig>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>Diagnostic performance of <sup>68</sup>Ga-PSMA-11 PET/CT and PET/MRI for biochemically recurrent prostate cancer</title>
<p>In comparison to <sup>68</sup>Ga-PSMA-11 PET/CT, which had a positivity rate of 0.70 (95% Cl: 0.65-0.75), <sup>68</sup>Ga-PSMA-11 PET/MRI had a positivity rate of 0.71 (95% Cl: 0.67-0.75). The analysis included 8409 patients from 37 studies. There was no statistically significant difference in the overall detection rate between <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI (<italic>P=0.58)</italic> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI forest plots for biochemically recurrent prostate cancer. In each study, positive results were represented by squares, and the 95% confidence interval was shown by horizontal bars.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g003.tif"/>
</fig>
<p>Regarding the pooled overall detection rate of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI for BCR, the I<sup>2</sup> was 93% and 81%, respectively. For <sup>68</sup>Ga-PSMA-11 PET/CT, the subgroup analysis and meta-regression analysis showed that the data analysis (qualitative vs. quantitative) was the possible cause of heterogeneity, while the study design (The number of patients: Greater than 56 vs. less than or equal to 56) was identified as the potential cause of heterogeneity for the <sup>68</sup>Ga-PSMA-11 PET/MRI studies <xref ref-type="table" rid="T4">
<bold>Tables&#xa0;4</bold>
</xref>, <xref ref-type="table" rid="T5">
<bold>5</bold>
</xref>. There were no potential sources of heterogeneity found by the sensitivity analysis. The result revealed only slight variations in the data, with values ranging from 0.70 to 0.74 for the <sup>68</sup>Ga-PSMA-11 PET/MRI and from 0.69 to 0.71 for the <sup>68</sup>Ga-PSMA-11 PET/CT. Overall, the detection rates remained consistent and stable after sensitivity analysis. (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;1, 2</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Subgroup analysis and meta-regression analysis of diagnostic performance of <sup>68</sup>Ga-PSMA-11 PET/MRI.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Covariate/Subgroup</th>
<th valign="middle" align="left">Studies, n</th>
<th valign="top" align="center">Positivity rate (95%CI)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Study design</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center">0.82</td>
</tr>
<tr>
<td valign="top" align="left">Prospective</td>
<td valign="top" align="center">7</td>
<td valign="top" align="left">0.74(0.58-0.88)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Retrospective</td>
<td valign="top" align="center">6</td>
<td valign="top" align="left">0.72(0.61-0.82)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Treatment</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">RP</td>
<td valign="top" align="center">4</td>
<td valign="top" align="left">0.73(0.64-0.81)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="center">9</td>
<td valign="middle" align="left">0.70(0.61-0.78)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">The number of patients</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">&gt;56</td>
<td valign="top" align="center">5</td>
<td valign="top" align="left">0.64(0.55-0.73)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;56</td>
<td valign="top" align="center">8</td>
<td valign="top" align="left">0.79(0.68-0.89)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Image analysis</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center">0.72</td>
</tr>
<tr>
<td valign="top" align="left">Qualitative</td>
<td valign="top" align="center">2</td>
<td valign="top" align="left">0.73(0.64-0.81)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Quantitative</td>
<td valign="top" align="center">11</td>
<td valign="top" align="left">0.72(0.63-0.81)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap-group id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Subgroup analysis and meta-regression analysis of diagnostic performance of <sup>68</sup>Ga-PSMA-11 PET/CT.</p>
</caption>
<table-wrap>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Covariate/Subgroup</th>
<th valign="middle" align="left">Studies, n</th>
<th valign="top" align="center">Positivity rate (95%CI)</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Study design</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center">0.66</td>
</tr>
<tr>
<td valign="top" align="left">Prospective</td>
<td valign="top" align="center">10</td>
<td valign="top" align="left">0.70(0.65-0.75)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Retrospective</td>
<td valign="top" align="center">15</td>
<td valign="top" align="left">0.71(0.66-0.76)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Treatment</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center">0.90</td>
</tr>
<tr>
<td valign="top" align="left">RP</td>
<td valign="top" align="center">10</td>
<td valign="top" align="left">0.71(0.66-0.75)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mixed</td>
<td valign="top" align="center">14</td>
<td valign="middle" align="left">0.71(0.63-0.78)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">The number of patients</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center">0.93</td>
</tr>
<tr>
<td valign="top" align="left">&gt;307</td>
<td valign="top" align="center">20</td>
<td valign="top" align="left">0.70(0.64-0.76)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2264;307</td>
<td valign="top" align="center">5</td>
<td valign="top" align="left">0.70(0.61-0.79)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Image analysis</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" align="left">Qualitative</td>
<td valign="top" align="center">10</td>
<td valign="top" align="left">0.70(0.65-0.75)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">Quantitative</td>
<td valign="top" align="center">15</td>
<td valign="top" align="left">0.74(0.69-0.79)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap>
<table frame="hsides">
<tbody>
<tr>
<td valign="top" colspan="3" align="left">8.7&#x2003;Positivity analysis of overall detection rate for <sup>68</sup>Ga-PSMA-11 PET/MRI</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">8.8&#x2003;&#x3000;</td>
<td valign="top" colspan="2" align="left">8.9&#x2003;<sup>68</sup>Ga-PSMA-11 PET/MRI</td>
</tr>
<tr>
<td valign="top" align="left">8.10&#x2003;Positivity rate (95% CI)</td>
<td valign="top" align="left">8.11&#x2003;I<sup>2</sup>
</td>
</tr>
<tr>
<td valign="top" align="left">8.12&#x2003;Omitting Glemser et&#xa0;al.</td>
<td valign="top" align="left">8.13&#x2003;0.73 [0.63,0.82]</td>
<td valign="top" align="left">8.14&#x2003;82.40%</td>
</tr>
<tr>
<td valign="top" align="left">8.15&#x2003;Omitting Afshar et&#xa0;al.</td>
<td valign="top" align="left">8.16&#x2003;0.72 [0.63,0.81]</td>
<td valign="top" align="left">8.17&#x2003;82.30%</td>
</tr>
<tr>
<td valign="top" align="left">8.18&#x2003;Omitting Grubm&#xfc;ller et&#xa0;al.</td>
<td valign="top" align="left">8.19&#x2003;0.74 [0.65, 0.82]</td>
<td valign="top" align="left">8.20&#x2003;81.50%</td>
</tr>
<tr>
<td valign="top" align="left">8.21&#x2003;Omitting Guberina et&#xa0;al.</td>
<td valign="top" align="left">8.22&#x2003;0.74 [0.64, 0.82]</td>
<td valign="top" align="left">8.23&#x2003;82.30%</td>
</tr>
<tr>
<td valign="top" align="left">8.24&#x2003;Omitting Mai et&#xa0;al.</td>
<td valign="top" align="left">8.25&#x2003;0.74 [0.65,0.82]</td>
<td valign="top" align="left">8.26&#x2003;81.90%</td>
</tr>
<tr>
<td valign="top" align="left">8.27&#x2003;Omitting Joshi et&#xa0;al.</td>
<td valign="top" align="left">8.28&#x2003;0.73 [0.64,0.82]</td>
<td valign="top" align="left">8.29&#x2003;82.50%</td>
</tr>
<tr>
<td valign="top" align="left">8.30&#x2003;Omitting T. Lake et&#xa0;al.</td>
<td valign="top" align="left">8.31&#x2003;0.71 [0.62, 0.79]</td>
<td valign="top" align="left">8.32&#x2003;78.10%</td>
</tr>
<tr>
<td valign="top" align="left">8.33&#x2003;Omitting Kranzb&#xfc;hler et&#xa0;al.</td>
<td valign="top" align="left">8.34&#x2003;0.74 [0.66,0.82]</td>
<td valign="top" align="left">8.35&#x2003;80.00%</td>
</tr>
<tr>
<td valign="top" align="left">8.36&#x2003;Omitting L&#xfc;tje et&#xa0;al.</td>
<td valign="top" align="left">8.37&#x2003;0.70 [0.63, 0.76]</td>
<td valign="top" align="left">8.38&#x2003;71.60%</td>
</tr>
<tr>
<td valign="top" align="left">8.39&#x2003;Omitting Mapelli et&#xa0;al.</td>
<td valign="top" align="left">8.40&#x2003;0.73 [0.63, 0.82]</td>
<td valign="top" align="left">8.41&#x2003;82.40%</td>
</tr>
<tr>
<td valign="top" align="left">8.42&#x2003;Omitting Martinez et&#xa0;al.</td>
<td valign="top" align="left">8.43&#x2003;0.74 [0.66, 0.83]</td>
<td valign="top" align="left">8.44&#x2003;78.60%</td>
</tr>
<tr>
<td valign="top" align="left">8.45&#x2003;Omitting Alonso et&#xa0;al.</td>
<td valign="top" align="left">8.46&#x2003;0.73 [0.63, 0.81]</td>
<td valign="top" align="left">8.47&#x2003;82.40%</td>
</tr>
<tr>
<td valign="top" align="left">8.48&#x2003;Omitting Freitag et&#xa0;al.</td>
<td valign="top" align="left">8.49&#x2003;0.72 [0.63, 0.81]</td>
<td valign="top" align="left">8.50&#x2003;81.20%</td>
</tr>
</tbody>
</table>
</table-wrap>
</table-wrap-group>
<p>According to the funnel plot and Egger&#x2019;s test, both the <sup>68</sup>Ga-PSMA-11 PET/CT <italic>(P = 0.39)</italic> and the <sup>68</sup>Ga-PSMA-11 PET/MRI <italic>(P = 0.28)</italic> showed no sign of publication bias (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;1 and 2</bold>
</xref>).</p>
</sec>
<sec id="s2_3_4">
<label>2.3.4</label>
<title>BCR positivity rate for <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI according to the different PSA subgroups</title>
<p>For <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI, the detection rates were 0.47 (95% CI: 0.42-0.51) and 0.45 (95% CI: 0.24-0.67) for PSA levels &lt;0.5 ng/ml, and when PSA levels were &gt; 0.5 ng/ml, the detection rates were 0.77 (95% CI: 0.72-0.82) and 0.90 (95% CI: 0.79-0.98); Detection rates at PSA levels &lt;0.2 ng/ml were 0.42 (95% CI: 0.36-0.47) and 0.13 (95% CI: 0.00-0.51); For PSA levels 0.2-0.5 ng/ml, the detection rates were 0.51 (95% CI: 0.41-0.62) and 0.46 (95% CI: 0.23-0.69); For PSA levels 0.5-1.0 ng/mL, detection rates were 0.63 (95% CI: 0.55-0.71) and 0.73 (95% CI: 0.45-0.95); For PSA values 1.0-2.0 ng/mL, the detection rates were 0.76 (95% CI: 0.69-0.82) and 0.63 (95% CI: 0.30-0.92); the detection rates for PSA levels &gt; 2.0 ng/ml were 0.90 (95% CI: 0.85-0.93) and 0.89 (95% CI: 0.77-0.98). The only significant difference <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI was at PSA levels &gt; 0.5 ng/ml <italic>(P=0.04)</italic> (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4</bold>
</xref>&#x2013;<xref ref-type="fig" rid="f10">
<bold>10</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI detection rates in patients with PSA&lt;0.5.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Forest plot of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI detection rates in patients with PSA&gt;0.5.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g005.tif"/>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Forest plot of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI detection rates in patients with PSA&#x2264; 0.2.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Forest plot of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI detection rates in patients with 0.2&lt;PSA&lt;0.5.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g007.tif"/>
</fig>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Forest plot of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI detection rates in patients with 0.5&#x2264;PSA&lt;1.0.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g008.tif"/>
</fig>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Forest plot of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI detection rates in patients with 1.0&#x2264;PSA&lt;2.0.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g009.tif"/>
</fig>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Forest plot of <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI detection rates in patients with PSA&#x2265;2.0.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1216894-g010.tif"/>
</fig>
</sec>
</sec>
<sec id="s2_4" sec-type="discussion">
<label>2.4</label>
<title>Discussion</title>
<p>According to previous studies, PET/MRI with PSMA imaging agent has a slightly higher diagnostic performance than PET/CT for local recurrence and lymph node recurrence (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B49">49</xref>). However, according to Huo et&#xa0;al. and Glemser et&#xa0;al., there is no significant difference between the overall detection rates of the two imaging modalities (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Thus controversy remains regarding the diagnostic performance of both imaging modalities for biochemical recurrent prostate cancer. The aim of this study was to quantitatively compare the diagnostic performance of the two diagnostic modalities for biochemical recurrent prostate cancer.</p>
<p>In the present study, the capability of two imaging modalities to identify BCR was comprehensively reviewed and assessed. The detection rates in patient-based analysis for <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI were 0.70 (95% Cl: 0.65; 0.75) and 0.73 (95% Cl: 0.64; 0.81) accordingly. Between these two imaging modalities, there was no significant difference <italic>(P=0.58)</italic>. A significant difference between these two imaging modalities for PSA levels aspect only existed when PSA was higher than 0.5, according to the study <italic>(P=0.04) </italic>(<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<p>PET/MRI provides metabolic, anatomical, and functional information in a single modality by combining the strengths of PET and MRI. While MRI offers precise anatomical and functional information through techniques like perfusion and diffusion-weighted imaging, PSMA-11 PET provides metabolic information by detecting PSMA expression in prostate cancer cells. With the use of this extensive information, clinicians can make a more thorough evaluation of the kind and severity of prostate cancer. PET/MRI detection rates may be superior to PET/CT for PSA levels higher than 0.5 due to the fact that PET/MRI provides more precise and detailed anatomical data, particularly in terms of soft tissue contrast (<xref ref-type="bibr" rid="B48">48</xref>). In order to more precisely localize probable tumor lesions, PSMA-11 PET/MRI can provide detailed anatomical information on the prostate region, including its shape, location, and size (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>In addition, compared to PET/CT, PET/MRI often has lower radiation doses, which may be advantageous for younger patients or those who need numerous follow-up exams, lowering the risk of radiation exposure. It&#x2019;s important to remember that clinical practices may vary between different medical facilities, even though PSMA-11 PET/MRI may be advantageous when PSA is greater than 0.5. It is important to stress that this is only an observation or trend and does not always mean that PSMA-11 PET/MRI is always preferable than PSMA-11 PET/CT.</p>
<p>Compared to previous meta-analyses (<xref ref-type="bibr" rid="B13">13</xref>), the current meta-study found that <sup>68</sup>Ga-PSMA-11 PET CT and <sup>68</sup>Ga-PSM A-11 PET-MRI had similar results in terms of diagnostic performance and detection rates for the detection of biochemically recurrent prostate cancer. This shows that for the same detection performance, PET/CT is more cost-effective. These findings are consistent with previous meta-analyses. The main disadvantage of the previous meta-analysis is the small sample size, while the main advantage of the meta-analysis in this article is the large sample size(including 37 studies). However, due to the recent development of <sup>68</sup>Ga-PSMA-11 PET/MRI, there is limited study in this field and a scarcity of comparable evidence available. Future head-to-head studies that systematically assesses both modalities might produce novel findings.</p>
<p>The findings of the meta-analysis contrasting <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI for the identification of biochemically recurring prostate cancer can have significant repercussions for future study in the field as well as for policy and practice. To make the best use of various imaging modalities in clinical practice, these findings can inspire future study paths, help decision-making, and enhance patient management. The diagnosis of PSMA-PET has a significant impact on the management of recurrent patients, allowing clinicians to select better treatment options to treat them, such as the treatment of recurrent M1a prostate cancer, the MDT approach of targeting PSMA-positive lesions according to the pattern of recurrence (sLND, SBRT, combination of sLND and SBRT). Based on the PSMA-PET method, these treatments were chosen (<xref ref-type="bibr" rid="B50">50</xref>&#x2013;<xref ref-type="bibr" rid="B53">53</xref>).</p>
<p>Both <sup>68</sup>Ga-PSMA-11 PET/CT and <sup>68</sup>Ga-PSMA-11 PET/MRI demonstrated high heterogeneity in terms of overall detection rates. In an attempt to find out the source of this heterogeneity, we conducted sensitivity analysis and meta-regression. Our findings showed that for PET/CT, the primary cause of heterogeneity was image analysis <italic>(P=0.03)</italic>. On the other hand, for PET/MRI, the primary cause of heterogeneity appeared to be the number of patients involved in the studies <italic>(P=0.03)</italic>. The sensitivity analysis did not identify any potential sources of heterogeneity.</p>
<p>It is also important to note the limitations of our meta-analysis. First of all, the gold standard for pathology was not available for all of the patients. Secondly, many of the included studies were retrospective studies, further lager prospective studies are needed. Finally, the included study used various protocols, such as different methods for administering contrast agents, different contrast procedures, and varied standards for interpretation, which may cause heterogeneity.</p>
</sec>
<sec id="s2_5" sec-type="conclusion">
<label>2.5</label>
<title>Conclusion</title>
<p>The diagnostic efficacy of <sup>68</sup>Ga-PSMA-11 PET/CT appears to be equivalent to that of <sup>68</sup>Ga-PSMA-11 PET/MRI in detecting biochemically recurrent prostate cancer. Nonetheless, it should be noted that not all studies have used pathological biopsies as the gold standard. Therefore, additional larger head-to-head prospective studies are needed to address this issue.</p>
</sec>
</sec>
<sec id="s3" 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="s7">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s4" sec-type="author-contributions">
<title>Author contributions</title>
<p>The study was conceptualized and designed by RH and ZZ, and it was verified using information gathered and examined by YL, HW, BL, and XZ. The manuscript was written by RH. The article&#x2019;s submission was reviewed and approved by all of the writers.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The 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="s6" 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="s7" 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.2023.1216894/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2023.1216894/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_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>Siegel</surname> <given-names>RL</given-names>
</name>
<name>
<surname>Miller</surname> <given-names>KD</given-names>
</name>
<name>
<surname>Wagle</surname> <given-names>NS</given-names>
</name>
<name>
<surname>Jemal</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Cancer statistics, 2023</article-title>. <source>CA Cancer J Clin</source> (<year>2023</year>) <volume>73</volume>(<issue>1</issue>):<fpage>17</fpage>&#x2013;<lpage>48</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3322/caac.21763</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cary</surname> <given-names>KC</given-names>
</name>
<name>
<surname>Punnen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Odisho</surname> <given-names>AY</given-names>
</name>
<name>
<surname>Litwin</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Saigal</surname> <given-names>CS</given-names>
</name>
<name>
<surname>Cooperberg</surname> <given-names>MR</given-names>
</name>
</person-group>. <article-title>Nationally representative trends and geographic variation in treatment of localized prostate cancer: the urologic diseases in America project</article-title>. <source>Prostate Cancer Prostatic Dis</source> (<year>2015</year>) <volume>18</volume>(<issue>2</issue>):<page-range>149&#x2013;54</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/pcan.2015.3</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Han</surname> <given-names>M</given-names>
</name>
<name>
<surname>Partin</surname> <given-names>AW</given-names>
</name>
<name>
<surname>Pound</surname> <given-names>CR</given-names>
</name>
<name>
<surname>Epstein</surname> <given-names>JI</given-names>
</name>
<name>
<surname>Walsh</surname> <given-names>PC</given-names>
</name>
</person-group>. <article-title>Long-term biochemical disease-free and cancer-specific survival following anatomic radical retropubic prostatectomy. The 15-year Johns Hopkins experience</article-title>. <source>Urol Clin North Am</source> (<year>2001</year>) <volume>28</volume>(<issue>3</issue>):<page-range>555&#x2013;65</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s0094-0143(05)70163-4</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Martinez</surname> <given-names>J</given-names>
</name>
<name>
<surname>Subramanian</surname> <given-names>K</given-names>
</name>
<name>
<surname>Margolis</surname> <given-names>D</given-names>
</name>
<name>
<surname>O'Dwyer</surname> <given-names>E</given-names>
</name>
<name>
<surname>Osborne</surname> <given-names>J</given-names>
</name>
<name>
<surname>Jhanwar</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>68ga-Psma-Hbed-Cc Pet/Mri is superior to multiparametric magnetic resonance imaging in men with biochemical recurrent prostate cancer: a prospective single-institutional study</article-title>. <source>Transl Oncol</source> (<year>2022</year>) <volume>15</volume>(<issue>1</issue>):<elocation-id>101242</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.tranon.2021.101242</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cornford</surname> <given-names>P</given-names>
</name>
<name>
<surname>Bellmunt</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bolla</surname> <given-names>M</given-names>
</name>
<name>
<surname>Briers</surname> <given-names>E</given-names>
</name>
<name>
<surname>De Santis</surname> <given-names>M</given-names>
</name>
<name>
<surname>Gross</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Eau-Estro-Siog guidelines on prostate cancer. Part II: treatment of relapsing, metastatic, and castration-resistant prostate cancer</article-title>. <source>Eur Urol</source> (<year>2017</year>) <volume>71</volume>(<issue>4</issue>):<page-range>630&#x2013;42</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.eururo.2016.08.002</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Phillips</surname> <given-names>R</given-names>
</name>
<name>
<surname>Shi</surname> <given-names>WY</given-names>
</name>
<name>
<surname>Deek</surname> <given-names>M</given-names>
</name>
<name>
<surname>Radwan</surname> <given-names>N</given-names>
</name>
<name>
<surname>Lim</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Antonarakis</surname> <given-names>ES</given-names>
</name>
<etal/>
</person-group>. <article-title>Outcomes of observation vs stereotactic ablative radiation for oligometastatic prostate cancer: the Oriole phase 2 randomized clinical trial</article-title>. <source>JAMA Oncol</source> (<year>2020</year>) <volume>6</volume>(<issue>5</issue>):<page-range>650&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamaoncol.2020.0147</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ceci</surname> <given-names>F</given-names>
</name>
<name>
<surname>Rovera</surname> <given-names>G</given-names>
</name>
<name>
<surname>Iorio</surname> <given-names>GC</given-names>
</name>
<name>
<surname>Guarneri</surname> <given-names>A</given-names>
</name>
<name>
<surname>Chiofalo</surname> <given-names>V</given-names>
</name>
<name>
<surname>Passera</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Event-Free Survival after (68) ga-Psma-11 Pet/Ct in Recurrent Hormone-Sensitive Prostate Cancer (Hspc) Patients Eligible for Salvage Therapy</article-title>. <source>Eur J Nucl Med Mol Imaging</source> (<year>2022</year>) <volume>49</volume>(<issue>9</issue>):<page-range>3257&#x2013;68</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-022-05741-9</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>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>(<issue>5</issue>):<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="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rovera</surname> <given-names>G</given-names>
</name>
<name>
<surname>Grimaldi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Dall'Armellina</surname> <given-names>S</given-names>
</name>
<name>
<surname>Passera</surname> <given-names>R</given-names>
</name>
<name>
<surname>Oderda</surname> <given-names>M</given-names>
</name>
<name>
<surname>Iorio</surname> <given-names>GC</given-names>
</name>
<etal/>
</person-group>. <article-title>Predictors of bone metastases at (68)Ga-Psma-11 Pet/Ct in hormone-sensitive prostate cancer (Hspc) patients with early biochemical recurrence or persistence</article-title>. <source>Diagnostics (Basel)</source> (<year>2022</year>) <volume>12</volume>(<issue>6</issue>):<fpage>1309</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/diagnostics12061309</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>FY</given-names>
</name>
<name>
<surname>Sheng</surname> <given-names>TW</given-names>
</name>
<name>
<surname>Tseng</surname> <given-names>JR</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>KJ</given-names>
</name>
<name>
<surname>Tsui</surname> <given-names>KH</given-names>
</name>
<name>
<surname>Pang</surname> <given-names>ST</given-names>
</name>
<etal/>
</person-group>. <article-title>Prostate-specific membrane antigen (Psma) fusion imaging in prostate cancer: Pet-Ct vs Pet-Mri</article-title>. <source>Br J Radiol</source> (<year>2022</year>) <volume>95</volume>(<issue>1131</issue>):<elocation-id>20210728</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1259/bjr.20210728</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sun</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>X</given-names>
</name>
<name>
<surname>Ouyang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Ling</surname> <given-names>Z</given-names>
</name>
</person-group>. <article-title>Performance of 18f-Dcfpyl Pet/Ct imaging in early detection of biochemically recurrent prostate cancer: a systematic review and meta-analysis</article-title>. <source>Front Oncol</source> (<year>2021</year>) <volume>11</volume>:<elocation-id>649171</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fonc.2021.649171</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kesch</surname> <given-names>C</given-names>
</name>
<name>
<surname>Vinsensia</surname> <given-names>M</given-names>
</name>
<name>
<surname>Radtke</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Schlemmer</surname> <given-names>HP</given-names>
</name>
<name>
<surname>Heller</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ellert</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Intraindividual comparison of (18)F-Psma-1007 Pet/Ct, multiparametric Mri, and radical prostatectomy specimens in patients with primary prostate cancer: a retrospective, proof-of-concept study</article-title>. <source>J Nucl Med</source> (<year>2017</year>) <volume>58</volume>(<issue>11</issue>):<page-range>1805&#x2013;10</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2967/jnumed.116.189233</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huo</surname> <given-names>H</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>S</given-names>
</name>
<name>
<surname>He</surname> <given-names>D</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>F</given-names>
</name>
</person-group>. <article-title>Head-to-head comparison of (68)Ga-Psma-11 Pet/Ct and (68)Ga-Psma-11 Pet/Mri in the detection of biochemical recurrence of prostate cancer: summary of head-to-head comparison studies</article-title>. <source>Prostate Cancer Prostatic Dis</source> (<year>2023</year>) <volume>26</volume>(<issue>1</issue>):<fpage>16</fpage>&#x2013;<lpage>24</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41391-022-00581-y</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>G&#xfc;hne</surname> <given-names>F</given-names>
</name>
<name>
<surname>Radke</surname> <given-names>S</given-names>
</name>
<name>
<surname>Winkens</surname> <given-names>T</given-names>
</name>
<name>
<surname>K&#xfc;hnel</surname> <given-names>C</given-names>
</name>
<name>
<surname>Greiser</surname> <given-names>J</given-names>
</name>
<name>
<surname>Seifert</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Differences in distribution and detection rate of the [(68)Ga]Ga-Psma ligands Psma-617, -I&amp;T and -11-Inter-Individual comparison in patients with biochemical relapse of prostate cancer</article-title>. <source>Pharm (Basel)</source> (<year>2021</year>) <volume>15</volume>(<issue>1</issue>):<fpage>9</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/ph15010009</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Duan</surname> <given-names>H</given-names>
</name>
<name>
<surname>Baratto</surname> <given-names>L</given-names>
</name>
<name>
<surname>Hatami</surname> <given-names>N</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>T</given-names>
</name>
<name>
<surname>Mari Aparici</surname> <given-names>C</given-names>
</name>
<name>
<surname>Davidzon</surname> <given-names>GA</given-names>
</name>
<etal/>
</person-group>. <article-title>(68)Ga-Psma11 Pet/Ct for biochemically recurrent prostate cancer: influence of dual-time and Pmt- vs Sipm-based detectors</article-title>. <source>Transl Oncol</source> (<year>2022</year>) <volume>15</volume>(<issue>1</issue>):<elocation-id>101293</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.tranon.2021.101293</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Uprimny</surname> <given-names>C</given-names>
</name>
<name>
<surname>Bayerschmidt</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kroiss</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Fritz</surname> <given-names>J</given-names>
</name>
<name>
<surname>Nilica</surname> <given-names>B</given-names>
</name>
<name>
<surname>Svirydenka</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Early injection of furosemide increases detection rate of local recurrence in prostate cancer patients with biochemical recurrence referred for (68)Ga-Psma-11 Pet/Ct</article-title>. <source>J Nucl Med</source> (<year>2021</year>) <volume>62</volume>(<issue>11</issue>):<page-range>1550&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2967/jnumed.120.261866</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lengana</surname> <given-names>T</given-names>
</name>
<name>
<surname>Lawal</surname> <given-names>IO</given-names>
</name>
<name>
<surname>Rensburg</surname> <given-names>CV</given-names>
</name>
<name>
<surname>Mokoala</surname> <given-names>KMG</given-names>
</name>
<name>
<surname>Moshokoa</surname> <given-names>E</given-names>
</name>
<name>
<surname>Ridgard</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>A comparison of the diagnostic performance of (18)F-Psma-1007 and (68)Ga-Psma-11 in the same patients presenting with early biochemical recurrence</article-title>. <source>Hell J Nucl Med</source> (<year>2021</year>) <volume>24</volume>(<issue>3</issue>):<page-range>178&#x2013;185</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1967/s002449912401</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Plaza L&#xf3;pez</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>Puertas</surname> <given-names>E</given-names>
</name>
<name>
<surname>Aguil&#xf3;</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Suarez-Pi&#xf1;era</surname> <given-names>M</given-names>
</name>
<name>
<surname>Domenech</surname> <given-names>B</given-names>
</name>
<name>
<surname>Mestre-Fusco</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>(68)Ga-Psma-11 Pet/Ct in patients with occult biochemical recurrence of prostate carcinoma and negative (18)F-CholinePet/Ct</article-title>. <source>Prelim Assess Its Clin Use Actas Urol Esp (Engl Ed)</source> (<year>2021</year>) <volume>45</volume>(<issue>5</issue>):<page-range>353&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.acuroe.2021.04.008</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yuminaga</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Rothe</surname> <given-names>C</given-names>
</name>
<name>
<surname>Kam</surname> <given-names>J</given-names>
</name>
<name>
<surname>Beattie</surname> <given-names>K</given-names>
</name>
<name>
<surname>Arianayagam</surname> <given-names>M</given-names>
</name>
<name>
<surname>Bui</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>(68)Ga-Psma Pet/Ct versus Ct and bone scan for investigation of Psa failure post radical prostatectomy</article-title>. <source>Asian J Urol</source> (<year>2021</year>) <volume>8</volume>(<issue>2</issue>):<page-range>170&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ajur.2020.02.001</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tseng</surname> <given-names>JR</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>KJ</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>FY</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>LY</given-names>
</name>
<name>
<surname>Hong</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Yen</surname> <given-names>TC</given-names>
</name>
<etal/>
</person-group>. <article-title>Comparison between (68)Ga-Psma-11 Pet/Ct and multiparametric magnetic resonance imaging in patients with biochemically recurrent prostate cancer following robot-assisted radical prostatectomy</article-title>. <source>J Formos Med Assoc</source> (<year>2021</year>) <volume>120</volume>:<page-range>688&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jfma.2020.07.029</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Strauss</surname> <given-names>DS</given-names>
</name>
<name>
<surname>Sachpekidis</surname> <given-names>C</given-names>
</name>
<name>
<surname>Kopka</surname> <given-names>K</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Haberkorn</surname> <given-names>U</given-names>
</name>
<name>
<surname>Dimitrakopoulou-Strauss</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Pharmacokinetic studies of [(68) ga]Ga-Psma-11 in patients with biochemical recurrence of prostate cancer: detection, differences in temporal distribution and kinetic modelling by tissue type</article-title>. <source>Eur J Nucl Med Mol Imaging</source> (<year>2021</year>) <volume>48</volume>(<issue>13</issue>):<page-range>4472&#x2013;82</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-021-05420-1</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ribeiro</surname> <given-names>AMB</given-names>
</name>
<name>
<surname>Lima</surname> <given-names>ENP</given-names>
</name>
<name>
<surname>de C&#xe1;ssio Zequi</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Evaluation of the clinical use of Pet/Ct with 68ga-Psma for the assessment of biochemical recurrence of low or intermediate-risk prostate cancer</article-title>. <source>Urol Oncol: Semin Original Invest</source> (<year>2021</year>) <volume>39</volume>(<issue>1</issue>):<page-range>73.e9&#x2013;73.e18</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.urolonc.2020.07.010</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Morawitz</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kirchner</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lakes</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bruckmann</surname> <given-names>NM</given-names>
</name>
<name>
<surname>Mamlins</surname> <given-names>E</given-names>
</name>
<name>
<surname>Hiester</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Psma Pet/Ct vs. Ct alone in newly diagnosed biochemical recurrence of prostate cancer after radical prostatectomy: comparison of detection rates and therapeutic implications</article-title>. <source>Eur J Radiol</source> (<year>2021</year>) <volume>136</volume>:<elocation-id>109556</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ejrad.2021.109556</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lawal</surname> <given-names>IO</given-names>
</name>
<name>
<surname>Lengana</surname> <given-names>T</given-names>
</name>
<name>
<surname>Popoola</surname> <given-names>GO</given-names>
</name>
<name>
<surname>Orunmuyi</surname> <given-names>AT</given-names>
</name>
<name>
<surname>Kgatle</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Mokoala</surname> <given-names>KMG</given-names>
</name>
<etal/>
</person-group>. <article-title>Pattern of prostate cancer recurrence assessed by (68)Ga-Psma-11 Pet/Ct in men treated with primary local therapy</article-title>. <source>J Clin Med</source> (<year>2021</year>) <volume>10</volume>(<issue>17</issue>):<fpage>3883</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/jcm10173883</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kroenke</surname> <given-names>M</given-names>
</name>
<name>
<surname>Mirzoyan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Horn</surname> <given-names>T</given-names>
</name>
<name>
<surname>Peeken</surname> <given-names>JC</given-names>
</name>
<name>
<surname>Wurzer</surname> <given-names>A</given-names>
</name>
<name>
<surname>Wester</surname> <given-names>H-J</given-names>
</name>
<etal/>
</person-group>. <article-title>Matched-pair comparison of 68ga-Psma-11 and 18f-Rhpsma-7 Pet/Ct in patients with primary and biochemical recurrence of prostate cancer: frequency of non&#x2013;tumor-related uptake and tumor positivity</article-title>. <source>J Nucl Med</source> (<year>2021</year>) <volume>62</volume>(<issue>8</issue>):<page-range>1082&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.2967/jnumed.120.251447</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jentjens</surname> <given-names>S</given-names>
</name>
<name>
<surname>Mai</surname> <given-names>C</given-names>
</name>
<name>
<surname>Ahmadi Bidakhvidi</surname> <given-names>N</given-names>
</name>
<name>
<surname>De Coster</surname> <given-names>L</given-names>
</name>
<name>
<surname>Mertens</surname> <given-names>N</given-names>
</name>
<name>
<surname>Koole</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Prospective comparison of simultaneous [(68)Ga]Ga-Psma-11 Pet/Mr versus pet/Ct in patients with biochemically recurrent prostate cancer</article-title>. <source>Eur Radiol</source> (<year>2022</year>) <volume>32</volume>(<issue>2</issue>):<page-range>901&#x2013;11</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00330-021-08140-0</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fourquet</surname> <given-names>A</given-names>
</name>
<name>
<surname>Lahmi</surname> <given-names>L</given-names>
</name>
<name>
<surname>Rusu</surname> <given-names>T</given-names>
</name>
<name>
<surname>Belkacemi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Cr&#xe9;hange</surname> <given-names>G</given-names>
</name>
<name>
<surname>de la Taille</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Restaging the biochemical recurrence of prostate cancer with [(68)Ga]Ga-Psma-11 Pet/Ct: diagnostic performance and impact on patient disease management</article-title>. <source>Cancers (Basel)</source> (<year>2021</year>) <volume>13</volume>(<issue>7</issue>):<fpage>1594</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers13071594</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dadgar</surname> <given-names>H</given-names>
</name>
<name>
<surname>Seyedi Vafaee</surname> <given-names>M</given-names>
</name>
<name>
<surname>Norouzbeigi</surname> <given-names>N</given-names>
</name>
<name>
<surname>Jafari</surname> <given-names>E</given-names>
</name>
<name>
<surname>Gholamrezanezhad</surname> <given-names>A</given-names>
</name>
<name>
<surname>Assadi</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Dual-Phase 68ga-Psma-11 Pet/Ct may increase the rate of detected lesions in prostate cancer patients</article-title>. <source>Urologia</source> (<year>2021</year>) <volume>88</volume>(<issue>4</issue>):<page-range>355&#x2013;61</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/0391560321993544</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cerci</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Fanti</surname> <given-names>S</given-names>
</name>
<name>
<surname>Lobato</surname> <given-names>EE</given-names>
</name>
<name>
<surname>Kunikowska</surname> <given-names>J</given-names>
</name>
<name>
<surname>Alonso</surname> <given-names>O</given-names>
</name>
<name>
<surname>Medina</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Diagnostic performance and clinical impact of (68)Ga-Psma-11 Pet/Ct imaging in early relapsed prostate cancer after radical therapy: a prospective multicenter study (Iaea-Psma study)</article-title>. <source>J Nucl Med</source> (<year>2022</year>) <volume>63</volume>(<issue>2</issue>):<page-range>240&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2967/jnumed.120.261886</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Carvalho</surname> <given-names>J</given-names>
</name>
<name>
<surname>Nunes</surname> <given-names>P</given-names>
</name>
<name>
<surname>Da Silva</surname> <given-names>ET</given-names>
</name>
<name>
<surname>Silva</surname> <given-names>R</given-names>
</name>
<name>
<surname>Lima</surname> <given-names>J</given-names>
</name>
<name>
<surname>Quaresma</surname> <given-names>V</given-names>
</name>
<etal/>
</person-group>. <article-title>[68ga]Ga-Psma-11 Pet-Ct: local preliminary experience in prostate cancer biochemical recurrence patients</article-title>. <source>Arch Ital Urol Androl</source> (<year>2021</year>) <volume>93</volume>(<issue>1</issue>):<page-range>21&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4081/aiua.2021.1.21</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Afshar-Oromieh</surname> <given-names>A</given-names>
</name>
<name>
<surname>da Cunha</surname> <given-names>ML</given-names>
</name>
<name>
<surname>Wagner</surname> <given-names>J</given-names>
</name>
<name>
<surname>Haberkorn</surname> <given-names>U</given-names>
</name>
<name>
<surname>Debus</surname> <given-names>N</given-names>
</name>
<name>
<surname>Weber</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Performance of [(68)Ga]Ga-Psma-11 Pet/Ct in patients with recurrent prostate cancer after prostatectomy-a multi-centre evaluation of 2533 patients</article-title>. <source>Eur J Nucl Med Mol Imaging</source> (<year>2021</year>) <volume>48</volume>(<issue>9</issue>):<page-range>2925&#x2013;34</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-021-05189-3</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Abghari-Gerst</surname> <given-names>M</given-names>
</name>
<name>
<surname>Armstrong</surname> <given-names>WR</given-names>
</name>
<name>
<surname>Nguyen</surname> <given-names>K</given-names>
</name>
<name>
<surname>Calais</surname> <given-names>J</given-names>
</name>
<name>
<surname>Czernin</surname> <given-names>J</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>A comprehensive assessment of (68)Ga-Psma-11 Pet in biochemically recurrent prostate cancer: results from a prospective multicenter study on 2,005 patients</article-title>. <source>J Nucl Med</source> (<year>2022</year>) <volume>63</volume>(<issue>4</issue>):<page-range>567&#x2013;72</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2967/jnumed.121.262412</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Seniaray</surname> <given-names>N</given-names>
</name>
<name>
<surname>Verma</surname> <given-names>R</given-names>
</name>
<name>
<surname>Khanna</surname> <given-names>S</given-names>
</name>
<name>
<surname>Belho</surname> <given-names>E</given-names>
</name>
<name>
<surname>Pruthi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Mahajan</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Localization and restaging of carcinoma prostate by (68)Gallium prostate-specific membrane antigen positron emission tomography computed tomography in patients with biochemical recurrence</article-title>. <source>Indian J Urol</source> (<year>2020</year>) <volume>36</volume>(<issue>3</issue>):<page-range>191&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4103/iju.IJU_275_19</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Regula</surname> <given-names>N</given-names>
</name>
<name>
<surname>Kostaras</surname> <given-names>V</given-names>
</name>
<name>
<surname>Johansson</surname> <given-names>S</given-names>
</name>
<name>
<surname>Trampal</surname> <given-names>C</given-names>
</name>
<name>
<surname>Lindstr&#xf6;m</surname> <given-names>E</given-names>
</name>
<name>
<surname>Lubberink</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Comparison of (68)Ga-Psma-11 Pet/Ct with (11)C-Acetate Pet/Ct in re-staging of prostate cancer relapse</article-title>. <source>Sci Rep</source> (<year>2020</year>) <volume>10</volume>(<issue>1</issue>):<fpage>4993</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-020-61910-6</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rauscher</surname> <given-names>I</given-names>
</name>
<name>
<surname>Kr&#xf6;nke</surname> <given-names>M</given-names>
</name>
<name>
<surname>K&#xf6;nig</surname> <given-names>M</given-names>
</name>
<name>
<surname>Gafita</surname> <given-names>A</given-names>
</name>
<name>
<surname>Maurer</surname> <given-names>T</given-names>
</name>
<name>
<surname>Horn</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Matched-pair comparison of (68)Ga-Psma-11 Pet/Ct and (18)F-Psma-1007 Pet/Ct: frequency of pitfalls and detection efficacy in biochemical recurrence after radical prostatectomy</article-title>. <source>J Nucl Med</source> (<year>2020</year>) <volume>61</volume>(<issue>1</issue>):<page-range>51&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2967/jnumed.119.229187</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Radzina</surname> <given-names>M</given-names>
</name>
<name>
<surname>TIrane</surname> <given-names>M</given-names>
</name>
<name>
<surname>Roznere</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zemniece</surname> <given-names>L</given-names>
</name>
<name>
<surname>Dronka</surname> <given-names>L</given-names>
</name>
<name>
<surname>Kalnina</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Accuracy of (68)Ga-Psma-11 Pet/Ct and multiparametric Mri for the detection of local tumor and lymph node metastases in early biochemical recurrence of prostate cancer</article-title>. <source>Am J Nucl Med Mol Imaging</source> (<year>2020</year>) <volume>10</volume>(<issue>2</issue>):<page-range>106&#x2013;18</page-range>.</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Miksch</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bottke</surname> <given-names>D</given-names>
</name>
<name>
<surname>Krohn</surname> <given-names>T</given-names>
</name>
<name>
<surname>Thamm</surname> <given-names>R</given-names>
</name>
<name>
<surname>Bartkowiak</surname> <given-names>D</given-names>
</name>
<name>
<surname>Solbach</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Interobserver variability, detection rate, and lesion patterns of (68)Ga-Psma-11-Pet/Ct in early-stage biochemical recurrence of prostate cancer after radical prostatectomy</article-title>. <source>Eur J Nucl Med Mol Imaging</source> (<year>2020</year>) <volume>47</volume>(<issue>10</issue>):<page-range>2339&#x2013;47</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-020-04718-w</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huits</surname> <given-names>TH</given-names>
</name>
<name>
<surname>Luiting</surname> <given-names>HB</given-names>
</name>
<name>
<surname>van der Poel</surname> <given-names>HG</given-names>
</name>
<name>
<surname>Nandurkar</surname> <given-names>R</given-names>
</name>
<name>
<surname>Donswijk</surname> <given-names>M</given-names>
</name>
<name>
<surname>Schaake</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Distribution of prostate cancer recurrences on gallium-68 prostate-specific membrane antigen ((68) Ga-Psma) positron-emission/computed tomography after radical prostatectomy with pathological node-positive extended lymph node dissection</article-title>. <source>BJU Int</source> (<year>2020</year>) <volume>125</volume>(<issue>6</issue>):<page-range>876&#x2013;83</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/bju.15052</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mapelli</surname> <given-names>P</given-names>
</name>
<name>
<surname>Ghezzo</surname> <given-names>S</given-names>
</name>
<name>
<surname>Samanes Gajate</surname> <given-names>AM</given-names>
</name>
<name>
<surname>Preza</surname> <given-names>E</given-names>
</name>
<name>
<surname>Palmisano</surname> <given-names>A</given-names>
</name>
<name>
<surname>Cucchiara</surname> <given-names>V</given-names>
</name>
<etal/>
</person-group>. <article-title>(68)Ga-Psma and (68)Ga-Dota-Rm2 Pet/Mri in recurrent prostate cancer: diagnostic performance and association with clinical and histopathological data</article-title>. <source>Cancers (Basel)</source> (<year>2022</year>) <volume>14</volume>(<issue>2</issue>):<fpage>334</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers14020334</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>L&#xfc;tje</surname> <given-names>S</given-names>
</name>
<name>
<surname>Cohnen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Gomez</surname> <given-names>B</given-names>
</name>
<name>
<surname>Gr&#xfc;neisen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Sawicki</surname> <given-names>L</given-names>
</name>
<name>
<surname>R&#xfc;bben</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Integrated (68)Ga-Hbed-Cc-Psma-Pet/Mri in patients with suspected recurrent prostate cancer</article-title>. <source>Nuklearmedizin</source> (<year>2017</year>) <volume>56</volume>(<issue>3</issue>):<fpage>73</fpage>&#x2013;<lpage>81</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3413/Nukmed-0850-16-09</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lake</surname> <given-names>ST</given-names>
</name>
<name>
<surname>Greene</surname> <given-names>KL</given-names>
</name>
<name>
<surname>Westphalen</surname> <given-names>AC</given-names>
</name>
<name>
<surname>Behr</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Zagoria</surname> <given-names>R</given-names>
</name>
<name>
<surname>Small</surname> <given-names>EJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Optimal Mri sequences for (68)Ga-Psma-11 Pet/Mri in evaluation of biochemically recurrent prostate cancer</article-title>. <source>EJNMMI Res</source> (<year>2017</year>) <volume>7</volume>(<issue>1</issue>):<fpage>77</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s13550-017-0327-7</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kranzb&#xfc;hler</surname> <given-names>B</given-names>
</name>
<name>
<surname>M&#xfc;ller</surname> <given-names>J</given-names>
</name>
<name>
<surname>Becker</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Garcia Sch&#xfc;ler</surname> <given-names>HI</given-names>
</name>
<name>
<surname>Muehlematter</surname> <given-names>U</given-names>
</name>
<name>
<surname>Fankhauser</surname> <given-names>CD</given-names>
</name>
<etal/>
</person-group>. <article-title>Detection rate and localization of prostate cancer recurrence using (68)Ga-Psma-11 Pet/Mri in patients with low Psa values &#x2264; 0.5 ng/ml</article-title>. <source>J Nucl Med</source> (<year>2020</year>) <volume>61</volume>(<issue>2</issue>):<fpage>194</fpage>&#x2013;<lpage>201</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.2967/jnumed.118.225276</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Joshi</surname> <given-names>A</given-names>
</name>
<name>
<surname>Roberts</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Perera</surname> <given-names>M</given-names>
</name>
<name>
<surname>Williams</surname> <given-names>E</given-names>
</name>
<name>
<surname>Rhee</surname> <given-names>H</given-names>
</name>
<name>
<surname>Pryor</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>The clinical efficacy of Psma Pet/Mri in biochemically recurrent prostate cancer compared with standard of care imaging modalities and confirmatory histopathology: results of a single-centre, prospective clinical trial</article-title>. <source>Clin Exp Metastasis</source> (<year>2020</year>) <volume>37</volume>(<issue>4</issue>):<page-range>551&#x2013;60</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10585-020-10043-1</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Guberina</surname> <given-names>N</given-names>
</name>
<name>
<surname>Hetkamp</surname> <given-names>P</given-names>
</name>
<name>
<surname>Ruebben</surname> <given-names>H</given-names>
</name>
<name>
<surname>Fendler</surname> <given-names>W</given-names>
</name>
<name>
<surname>Grueneisen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Suntharalingam</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Whole-body integrated [(68)Ga]Psma-11-Pet/Mr imaging in patients with recurrent prostate cancer: comparison with whole-body Pet/Ct as the standard of reference</article-title>. <source>Mol Imaging Biol</source> (<year>2020</year>) <volume>22</volume>(<issue>3</issue>):<page-range>788&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s11307-019-01424-4</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Grubm&#xfc;ller</surname> <given-names>B</given-names>
</name>
<name>
<surname>Baltzer</surname> <given-names>P</given-names>
</name>
<name>
<surname>D'Andrea</surname> <given-names>D</given-names>
</name>
<name>
<surname>Korn</surname> <given-names>S</given-names>
</name>
<name>
<surname>Haug</surname> <given-names>AR</given-names>
</name>
<name>
<surname>Hacker</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>(68)Ga-Psma 11 ligand pet imaging in patients with biochemical recurrence after radical prostatectomy - diagnostic performance and impact on therapeutic decision-making</article-title>. <source>Eur J Nucl Med Mol Imaging</source> (<year>2018</year>) <volume>45</volume>(<issue>2</issue>):<page-range>235&#x2013;42</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-017-3858-2</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Afshar-Oromieh</surname> <given-names>A</given-names>
</name>
<name>
<surname>Haberkorn</surname> <given-names>U</given-names>
</name>
<name>
<surname>Schlemmer</surname> <given-names>HP</given-names>
</name>
<name>
<surname>Fenchel</surname> <given-names>M</given-names>
</name>
<name>
<surname>Eder</surname> <given-names>M</given-names>
</name>
<name>
<surname>Eisenhut</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Comparison of Pet/Ct and Pet/Mri hybrid systems using a 68ga-labelled Psma ligand for the diagnosis of recurrent prostate cancer: initial experience</article-title>. <source>Eur J Nucl Med Mol Imaging</source> (<year>2014</year>) <volume>41</volume>(<issue>5</issue>):<page-range>887&#x2013;97</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-013-2660-z</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Glemser</surname> <given-names>PA</given-names>
</name>
<name>
<surname>Rotkopf</surname> <given-names>LT</given-names>
</name>
<name>
<surname>Ziener</surname> <given-names>CH</given-names>
</name>
<name>
<surname>Beuthien-Baumann</surname> <given-names>B</given-names>
</name>
<name>
<surname>Weru</surname> <given-names>V</given-names>
</name>
<name>
<surname>Kopp-Schneider</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Hybrid imaging with [(68)Ga]Psma-11 Pet-Ct and Pet-Mri in biochemically recurrent prostate cancer</article-title>. <source>Cancer Imaging</source> (<year>2022</year>) <volume>22</volume>(<issue>1</issue>):<fpage>53</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s40644-022-00489-9</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alonso</surname> <given-names>O</given-names>
</name>
<name>
<surname>Dos Santos</surname> <given-names>G</given-names>
</name>
<name>
<surname>Garc&#xed;a Fontes</surname> <given-names>M</given-names>
</name>
<name>
<surname>Balter</surname> <given-names>H</given-names>
</name>
<name>
<surname>Engler</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>(68)Ga-Psma and (11)C-Choline comparison using a tri-modality Pet/Ct-Mri (3.0 t) system with a dedicated shuttle</article-title>. <source>Eur J Hybrid Imaging</source> (<year>2018</year>) <volume>2</volume>(<issue>1</issue>):<fpage>9</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s41824-018-0027-1</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Freitag</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Radtke</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Afshar-Oromieh</surname> <given-names>A</given-names>
</name>
<name>
<surname>Roethke</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Hadaschik</surname> <given-names>BA</given-names>
</name>
<name>
<surname>Gleave</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Local recurrence of prostate cancer after radical prostatectomy is at risk to be missed in (68)Ga-Psma-11-Pet of Pet/Ct and Pet/Mri: comparison with Mpmri integrated in simultaneous Pet/Mri</article-title>. <source>Eur J Nucl Med Mol Imaging</source> (<year>2017</year>) <volume>44</volume>(<issue>5</issue>):<page-range>776&#x2013;87</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00259-016-3594-z</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bianchi</surname> <given-names>L</given-names>
</name>
<name>
<surname>Ceci</surname> <given-names>F</given-names>
</name>
<name>
<surname>Balestrazzi</surname> <given-names>E</given-names>
</name>
<name>
<surname>Costa</surname> <given-names>F</given-names>
</name>
<name>
<surname>Droghetti</surname> <given-names>M</given-names>
</name>
<name>
<surname>Piazza</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Psma-pet guided treatment in prostate cancer patients with oligorecurrent progression after previous salvage treatment</article-title>. <source>Cancers (Basel)</source> (<year>2023</year>) <volume>15</volume>(<issue>7</issue>):<fpage>2027</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers15072027</pub-id>
</citation>
</ref>
<ref id="B51">
<label>51</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bianchi</surname> <given-names>L</given-names>
</name>
<name>
<surname>Ceci</surname> <given-names>F</given-names>
</name>
<name>
<surname>Costa</surname> <given-names>F</given-names>
</name>
<name>
<surname>Balestrazzi</surname> <given-names>E</given-names>
</name>
<name>
<surname>Droghetti</surname> <given-names>M</given-names>
</name>
<name>
<surname>Piazza</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>The impact of Psma-Pet on oncologic control in prostate cancer patients who experienced Psa persistence or recurrence</article-title>. <source>Cancers (Basel)</source> (<year>2022</year>) <volume>15</volume>(<issue>1</issue>):<fpage>247</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers15010247</pub-id>
</citation>
</ref>
<ref id="B52">
<label>52</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bravi</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Droghetti</surname> <given-names>M</given-names>
</name>
<name>
<surname>Fossati</surname> <given-names>N</given-names>
</name>
<name>
<surname>Gandaglia</surname> <given-names>G</given-names>
</name>
<name>
<surname>Suardi</surname> <given-names>N</given-names>
</name>
<name>
<surname>Mazzone</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Definition and impact on oncologic outcomes of persistently elevated prostate-specific antigen after salvage lymph node dissection for node-only recurrent prostate cancer after radical prostatectomy: clinical implications for multimodal therapy</article-title>. <source>Eur Urol Oncol</source> (<year>2022</year>) <volume>5</volume>(<issue>3</issue>):<page-range>285&#x2013;95</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.euo.2021.06.003</pub-id>
</citation>
</ref>
<ref id="B53">
<label>53</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>de Barros</surname> <given-names>HA</given-names>
</name>
<name>
<surname>van Beurden</surname> <given-names>I</given-names>
</name>
<name>
<surname>Droghetti</surname> <given-names>M</given-names>
</name>
<name>
<surname>Wilthagen</surname> <given-names>EA</given-names>
</name>
<name>
<surname>&#xd6;zman</surname> <given-names>O</given-names>
</name>
<name>
<surname>Bergman</surname> <given-names>AM</given-names>
</name>
<etal/>
</person-group>. <article-title>Role of local and/or metastasis-directed therapy in patients with hormone-sensitive M1a prostate cancer-a systematic review</article-title>. <source>Eur Urol Oncol</source> (<year>2023</year>) <volume>6</volume>(<issue>1</issue>):<fpage>16</fpage>&#x2013;<lpage>27</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.euo.2022.10.002</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>