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<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2025.1654685</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>[<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT quantitative parameters for risk stratification and metastasis prediction in primary prostate cancer: a retrospective study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Ming</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Gao</surname>
<given-names>Zhenglian</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Jiangming</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Xiangyu</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Liang</surname>
<given-names>Changping</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>He</surname>
<given-names>Tao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Department of Nuclear Medicine, Panzhihua Central Hospital</institution>, <addr-line>Panzhihua, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Nuclear Medicine and Molecular Imaging Key Laboratory of Panzhihua</institution>, <addr-line>Panzhihua, Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Anesthesiology, Panzhihua Central Hospital</institution>, <addr-line>Panzhihua, Sichuan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/175976/overview">Baljinder Singh</ext-link>, Post Graduate Institute of Medical Education and Research (PGIMER), India</p></fn>
<fn fn-type="edited-by" id="fn0002"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1115194/overview">Pardeep Kumar</ext-link>, National Institute of Mental Health and Neurosciences, India</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2246557/overview">Bartosz Malkiewicz</ext-link>, Wroclaw Medical University, Poland</p></fn>
<corresp id="c001">&#x002A;Correspondence: Tao He, <email>runnerht@126.com</email></corresp>
<fn fn-type="equal" id="fn0003"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1654685</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Li, Gao, Sun, Li, Liang and He.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Li, Gao, Sun, Li, Liang and He</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 id="sec1">
<title>Background</title>
<p>To evaluate the diagnostic performance of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT in primary prostate cancer (PCa) detection and assess its ability to predict metastatic involvement and tumor aggressiveness in this single-center retrospective study.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>This retrospective, single-center study enrolled 48 patients with suspected PCa (39 confirmed PCa, 9 benign conditions) who underwent [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT between September 2022 and November 2023. Imaging was performed 4&#x202F;h post-injection of 0.74&#x202F;GBq [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S. Systematic prostate biopsy or surgical specimens served as the reference standard. Maximum standardized uptake values (SUVmax) were quantified in regions of enhanced prostatic uptake using Q.Volumetrix software. Correlations between SUVmax and clinicopathological parameters were analyzed using receiver operating characteristic (ROC) curves.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>[<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT achieved 100% sensitivity, 77.78% specificity, and 95.83% accuracy. SUVmax correlated significantly with Gleason score, PSA levels, risk stratification, and metastatic status. Median SUVmax was significantly elevated in patients with PSA&#x202F;&#x003E;&#x202F;20&#x202F;ng/mL versus &#x2264;20&#x202F;ng/mL (13.20 vs. 6.68; <italic>p</italic>&#x202F;=&#x202F;0.013) and Gleason score &#x003E;7 versus &#x2264;7 (13.60 vs. 6.75; <italic>p</italic>&#x202F;=&#x202F;0.006). High-risk and metastatic cohorts demonstrated significantly higher SUVmax values (<italic>p</italic>&#x202F;=&#x202F;0.010 and <italic>p</italic>&#x202F;=&#x202F;0.023, respectively). For high-risk PCa prediction, optimal SUVmax cutoff was &#x2265;10.85 (AUC&#x202F;=&#x202F;0.84; sensitivity&#x202F;=&#x202F;100%, specificity&#x202F;=&#x202F;58%). For metastatic PCa detection, optimal cutoff was SUVmax &#x2265;14.45 (AUC&#x202F;=&#x202F;0.73; sensitivity&#x202F;=&#x202F;92%, specificity&#x202F;=&#x202F;50%).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>[<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT demonstrates excellent diagnostic performance for PCa detection. SUVmax serves as a robust predictor for risk stratification and metastatic potential assessment.</p>
</sec>
</abstract>
<kwd-group>
<kwd>prostate cancer</kwd>
<kwd><sup>99m</sup>Tc-PSMA-I&#x0026;S</kwd>
<kwd>single-photon emission computed tomography</kwd>
<kwd>standardized uptake value</kwd>
<kwd>risk assessment</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="10"/>
<word-count count="7106"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nuclear Medicine</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Prostate cancer (PCa) represents the second most prevalent malignant neoplasm among men worldwide, constituting approximately 7.3% of all cancer cases and ranking as the fifth leading cause of cancer-related mortality in males (<xref ref-type="bibr" rid="ref1">1</xref>). In China, the incidence of PCa has increased significantly, surpassing both bladder and kidney cancers to become the most common malignant tumor in the male urogenital system (<xref ref-type="bibr" rid="ref2">2</xref>). The biological behavior of PCa varies considerably based on its malignancy grade, which directly influences treatment strategies and prognosis.</p>
<p>Early-stage PCa demonstrates excellent outcomes, with nearly 100% five-year survival rates through surgical intervention and androgen deprivation therapy. However, metastatic PCa presents a markedly different prognosis, with five-year survival rates ranging from 36 to 54% and a median survival time of approximately 42&#x202F;months (<xref ref-type="bibr" rid="ref3">3</xref>). Thus, early diagnosis and accurate grading of PCa are of great significance for formulating therapeutic strategies and improving prognosis. Currently, multiparametric magnetic resonance imaging (mpMRI) is the most widely utilized imaging technique for the diagnosis of PCa. mpMRI offers high-resolution soft tissue imaging, enabling a detailed assessment of the anatomical structure of the prostate, precise localization of primary PCa lesions, and visualization of the involvement of pelvic lymph nodes and bones. However, studies indicate that mpMRI exhibits a sensitivity of up to 96% in detecting PCa, whereas its specificity ranges from 36 to 58%, reflecting a relatively high false-positive rate (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). At the same time, mpMRI&#x2019;s inability to provide whole-body imaging in a single examination limits its utility for comprehensive staging (<xref ref-type="bibr" rid="ref6">6</xref>). Bone scintigraphy (BS), a sensitive and cost-effective imaging modality for detecting PCa bone metastases, is constrained by limited specificity due to frequent false-positive findings caused by benign bone conditions (<xref ref-type="bibr" rid="ref7">7</xref>). Therefore, the exploration of precise morphological and functional characterization is crucial for the clinical management of PCa.</p>
<p>Prostate-specific membrane antigen (PSMA), a Type II transmembrane glycoprotein predominantly expressed in prostatic tissues, demonstrates upregulated expression correlated with malignancy grade and metastatic progression (<xref ref-type="bibr" rid="ref8">8</xref>). PSMA has emerged as a crucial target for both diagnostic imaging and radionuclide therapy in PCa. Extensive research has demonstrated the significant value of [68Ga]- and [18F]-labeled PSMA positron emission tomography/computed tomography (PET/CT) in diagnosis, treatment response evaluation, and patient follow-up (<xref ref-type="bibr" rid="ref9 ref10 ref11 ref12 ref13 ref14 ref15">9&#x2013;15</xref>). For instance, a systematic review published by Satapathy et al. (<xref ref-type="bibr" rid="ref14">14</xref>) demonstrated the excellent sensitivity of [68Ga]Ga-PSMA-11 and [68Ga]Ga-PSMA-617 PET/CT for initial detection in patients with suspected PCa. Erg&#x00FC;l et al. (<xref ref-type="bibr" rid="ref15">15</xref>) demonstrated that [68Ga]Ga-PSMA-11 PET/CT is a highly effective imaging modality for the initial evaluation of newly diagnosed PCa, leading to significant changes in its staging compared to conventional imaging methods. In addition to the [68Ga]Ga-labeled PSMA radiotracers, Chikatamarla et al. (<xref ref-type="bibr" rid="ref16">16</xref>) demonstrated comparable superior diagnostic accuracy for primary staging of PCa using [18F]F-labeled PSMA inhibitor ([18F]F-PSMA-1007) in their largest study. Notably, PSMA avidity exhibits a significant positive correlation with baseline serum total PSA levels and Gleason grade group classification, reinforcing its prognostic validity (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). In addition, the maximum standardized uptake value (SUVmax) is the most commonly used semi-quantitative parameter in PET/CT, and a prospective study by Jiao et al. (<xref ref-type="bibr" rid="ref17">17</xref>) demonstrated that the optimal SUVmax cut-off value for distinguishing clinically significant PCa from benign prostate disease was 5.30.</p>
<p>Despite these advantages, PET faces limitations in clinical applications due to the high costs associated with radiotracers and specialized equipment (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). In contrast, single-photon emission computed tomography (SPECT)/CT is more globally accessible, providing a cost-effective alternative for PSMA-targeted imaging. Furthermore, recent advances in SPECT/CT fusion imaging, which provide both anatomical and functional information, have facilitated the development of single-photon-labeled PSMA tracers (<xref ref-type="bibr" rid="ref20">20</xref>). In recent years, researchers have designed multiple [<sup>99</sup>&#x1D50;Tc]-labeled PSMA-targeted molecules for PCa detection (<xref ref-type="bibr" rid="ref21 ref22 ref23 ref24">21&#x2013;24</xref>).</p>
<p>Among these, [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S, a PSMA-targeted compound introduced by Robu et al. (<xref ref-type="bibr" rid="ref25">25</xref>) in 2016, was initially developed for radioguided surgery. This radiotracer is characterized by slow systemic clearance, enabling prolonged retention in tumor cells. Over 21&#x202F;h post-injection, the lesion-to-background contrast progressively increases, making it particularly suitable for intraoperative detection and excision of PSMA-positive lymph node metastases. This distinctive characteristic may provide superior lesion-to-background contrast in delayed imaging, thereby potentially offering diagnostic advantages over other SPECT-based PSMA tracers, including [<sup>99</sup>&#x1D50;Tc]Tc-MIP-1404 and [<sup>99</sup>&#x1D50;Tc]Tc-HYNIC-PSMA. Owing to its stable and reproducible labeling process, [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S demonstrates potential for SPECT imaging (<xref ref-type="bibr" rid="ref25">25</xref>). Furthermore, advancements in SPECT/CT image reconstruction algorithms, photon attenuation correction, and scatter correction techniques have significantly enhanced the clinical utility of quantitative SPECT/CT.</p>
<p>Therefore, this study aims to investigate the clinical utility of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT in the diagnosis of PCa, prediction of tumor metastasis, and assessment of malignancy grade.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<p>This study adhered to the guiding principles of the Declaration of Helsinki and was approved by the Ethics Committee of Panzhihua Central Hospital (approval number: zhszxyykyll-2022-002). However, due to the retrospective nature of the study, written informed consent was waived.</p>
<sec id="sec7">
<title>Patients</title>
<p>This study enrolled patients with suspected primary PCa who underwent [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT scanning at the Department of Nuclear Medicine, Panzhihua Central Hospital, China, between September 1, 2022 and November 30, 2023. Inclusion criteria were defined as meeting any of the following conditions: (1) serum total prostate-specific antigen (tPSA)&#x202F;&#x003E;&#x202F;10&#x202F;&#x03BC;g/L (normal reference range: &#x003C;4&#x202F;&#x03BC;g/L); (2) tPSA 4&#x2013;10&#x202F;&#x03BC;g/L with a free PSA (fPSA)/tPSA ratio &#x003C;0.19; (3) digital rectal examination revealing suspicious prostatic nodules; (4) ultrasonographic or magnetic resonance imaging findings suggestive of malignancy. Exclusion criteria included: (1) incomplete clinical records or loss to follow-up; (2) prior PCa-directed interventions (including surgery, radiotherapy, chemotherapy, or endocrine therapy) before undergoing [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT; (3) concurrent malignant neoplasms.</p>
</sec>
<sec id="sec8">
<title>Radiosynthesis and quality control of [99&#x1D50;Tc]Tc-PSMA-I&#x0026;S</title>
<p>Fresh [<sup>99</sup>&#x1D50;Tc]NaTcO&#x2084; eluate was procured from China Isotope &#x0026; Radiation Corporation. PSMA-I&#x0026;S precursors were synthesized by Nanchang Probe Technology Co., Ltd. (China), with sterile pyrogen-free lyophilized kits prepared by Shanghai Jiabiao Biotechnology Co., Ltd. (China). [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S was synthesized following established protocols (<xref ref-type="bibr" rid="ref25">25</xref>): (1) One vial of PSMA-I&#x0026;S precursor was reconstituted with 1.0&#x202F;mL freshly eluted [<sup>99</sup>&#x1D50;Tc]NaTcO&#x2084; (1.48&#x2013;2.96&#x202F;GBq [40&#x2013;80&#x202F;mCi]); (2) The mixture was vortexed for 30&#x202F;s to ensure homogeneity; (3) Radiolabeling proceeded at 100&#x202F;&#x00B0;C under atmospheric pressure for 20&#x202F;min with intermittent agitation; (4) The reaction mixture was cooled to 40&#x202F;&#x00B0;C, filtered through a 0.22&#x202F;&#x03BC;m hydrophilic PVDF membrane, and diluted with sterile saline to appropriate radioactivity concentration. Quality control analyses confirmed &#x003E;95% radiochemical purity and labeling efficiency.</p>
</sec>
<sec id="sec9">
<title>[<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT acquisition</title>
<p>All patients underwent whole-body planar scintigraphy and SPECT/CT imaging 4&#x2013;6&#x202F;h after intravenous administration of 0.74&#x202F;GBq (20&#x202F;mCi) of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S. Patient identification was verified prior to imaging. The injection time and pre- and post-injection syringe activities were measured and recorded to calculate the actual administered dose. Vital signs (respiratory rate, heart rate, and blood pressure) and non-specific symptoms (nausea, vomiting, headache, dizziness, rash, or pruritus) were monitored at 10&#x202F;min before injection and at 10 and 60&#x202F;min post-injection, with symptomatic treatment provided as necessary. Patients were instructed to ingest at least 1,000&#x202F;mL of water within 4&#x202F;h post-injection and to void frequently to promote hydration and tracer excretion, thereby reducing background activity and enhancing image quality. Additionally, patients were asked to void 5&#x202F;min before imaging to prevent bladder activity from obscuring prostate bed lesions and pelvic lymph node metastases. In cases of dysuria or urinary retention, catheterization was performed prior to scanning.</p>
<p>Imaging utilized a Discovery NM/CT 670 SPECT/CT system (GE Healthcare) with dual-detector configuration. Whole-body anterior&#x2013;posterior projections were acquired at 16.0&#x202F;cm/min scan speed (140.5&#x202F;keV photopeak, &#x00B1;7.5% energy window, 256&#x202F;&#x00D7;&#x202F;1,024 matrix). SPECT/CT acquisition followed a standardized protocol: initial low-dose CT (120&#x202F;kV tube potential, 512&#x202F;&#x00D7;&#x202F;512 matrix, 2.5&#x202F;mm slice thickness, iterative reconstruction with attenuation correction) preceded SPECT acquisition.</p>
</sec>
<sec id="sec10">
<title>SPECT/CT image analysis and validation</title>
<p>Image analysis was performed on a Xeleris workstation version 4 DR (GE Healthcare). Two nuclear medicine physicians with more than 10&#x202F;years of experience in reading SPECT/CT images jointly reviewed SPECT/CT images. When the two physicians disagreed, a consensus was reached through discussion. After excluding physiological or obvious nonprostate cancer-related uptake, the foci where [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S uptake was higher than that of the surrounding normal tissue were defined as positive.</p>
<p>Quantitative analysis was performed using Q.Volutrix software on the same workstation (<xref ref-type="bibr" rid="ref26">26</xref>). The analysis required input of patient anthropometric measurements (height and weight), radioisotope specifications (<sup>99</sup>&#x1D50;Tc), precise injected dose, timing of drug administration, image acquisition time, and camera sensitivity. SUVmax values (g/mL) were calculated using automated volume-of-interest (VOI) delineation. In cases with multiple prostatic lesions, the highest SUVmax was selected as the representative value.</p>
</sec>
<sec id="sec11">
<title>Standard reference for imaging results</title>
<p>SPECT/CT findings were categorized as (a) primary tumor or (b) extraprostatic metastases (including lymph node, osseous, and visceral organ involvement). Prostate needle biopsies were performed in all participants. For biopsy-positive cases meeting surgical criteria, radical prostatectomy was performed, with pathological confirmation based on surgical specimens. In biopsy-positive patients deemed ineligible for surgery, pathological diagnosis relied solely on biopsy specimens. For patients with negative biopsy results but strong clinical suspicion of PCa, serial monitoring of serum PSA levels combined with imaging findings (mpMRI and [<sup>99</sup>&#x1D50;Tc]Tc-PSMA SPECT/CT) was conducted over 3&#x2013;6&#x202F;months. Absence of disease progression during surveillance allowed exclusion of PCa diagnosis, whereas evident progression warranted repeat biopsy (<xref ref-type="bibr" rid="ref27">27</xref>). While all primary tumors underwent histopathological confirmation via biopsy or surgical specimens, extraprostatic metastatic lesions could not be histologically verified in all cases. Metastatic disease was therefore confirmed through: (1) concordant findings on multimodal imaging (bone scintigraphy, MRI); (2) serial PSA monitoring over 6-month follow-up; (3) response to systemic therapy; and (4) imaging surveillance as per established clinical criteria (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref28">28</xref>). This approach, while clinically reasonable, may introduce uncertainty in sensitivity/specificity estimates for metastatic detection.</p>
</sec>
<sec id="sec12">
<title>Statistical analysis</title>
<p>All statistical analyses were conducted using R statistical software (version 4.2.0). Categorical variables were expressed as counts (percentages), while continuous variables were summarized as mean &#x00B1; standard deviation (SD) for normally distributed data or median with interquartile range (IQR) for nonparametric distributions. Correlations between SPECT/CT-derived SUVmax in primary PCa foci and clinical variables were assessed using Spearman&#x2019;s rank correlation analysis. Intergroup comparisons were performed using the nonparametric Wilcoxon-Mann&#x2013;Whitney U test with two-tailed significance testing. Using histopathology as the reference standard, diagnostic performance metrics [sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV)] were calculated for [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging. The discriminative capacity of SUVmax for risk stratification and metastatic detection was evaluated through receiver operating characteristic (ROC) curve analysis, with quantification of the area under the curve (AUC) and 95% confidence intervals (95% CI). Optimal SUVmax thresholds were identified through Youden index maximization. Statistical significance was defined as <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<title>Results</title>
<sec id="sec14">
<title>Patient characteristics</title>
<p>This retrospective study enrolled 48 patients undergoing [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT examinations. <xref ref-type="fig" rid="fig1">Figure 1</xref> illustrates the participant inclusion flowchart, with all procedures completed without adverse events. <xref ref-type="table" rid="tab1">Table 1</xref> summarizes the demographic and clinical characteristics of the cohort. The median age at [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging was 75&#x202F;years (range: 47&#x2013;96&#x202F;years). The median pre-imaging PSA level was 43.63&#x202F;ng/mL (range: 11.00&#x2013;100.00&#x202F;ng/mL), with 15 patients (31.3%) having PSA&#x202F;&#x2264;&#x202F;20&#x202F;&#x03BC;g/L and 33 patients (68.8%) having PSA&#x202F;&#x003E;&#x202F;20&#x202F;&#x03BC;g/L. All patients underwent biopsy or surgical pathological examination. Among the 48 patients, 39 were diagnosed with PCa, while 9 were non-PCa cases (7 with prostatic hyperplasia and 2 with prostatic hyperplasia accompanied by chronic inflammatory lesions). In the PCa cohort, Gleason score distribution was as follows: score 6 (<italic>n</italic>&#x202F;=&#x202F;4), 7 (<italic>n</italic>&#x202F;=&#x202F;9), 8 (<italic>n</italic>&#x202F;=&#x202F;11), 9 (<italic>n</italic>&#x202F;=&#x202F;10), and 10 (<italic>n</italic>&#x202F;=&#x202F;5). Based on NCCN guidelines (<xref ref-type="bibr" rid="ref5">5</xref>), patients were stratified into low-intermediate risk (requiring all criteria: PSA&#x202F;&#x2264;&#x202F;20&#x202F;&#x03BC;g/L, Gleason score 6&#x2013;7, and cT1&#x2013;cT2c) and high risk (meeting any criterion: PSA&#x202F;&#x003E;&#x202F;20&#x202F;&#x03BC;g/L, Gleason score 8&#x2013;10, or &#x2265;cT3). Six patients (15.4%) were classified as low-intermediate risk, while 33 patients (84.6%) were classified as high risk. Metastatic disease was identified in 26 PCa patients (66.7%), with lymph nodes being the predominant site of extraprostatic spread.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flowchart of participant selection in the study.</p>
</caption>
<graphic xlink:href="fmed-12-1654685-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart of patient selection and outcomes. From 142 patients with suspected prostate cancer due to elevated tPSA, 94 without [99mTc]Tc-PSMA-I&#x0026;S SPECT/CT were excluded. Of 48 patients, a needle biopsy of the prostate identified 39 with prostate cancer (PCa) and 9 non-PCa. The PCa group divided into 13 without extraprostatic metastasis and 26 with extraprostatic metastasis. The non-PCa group split into 2 positive and 7 negative [99mTc]Tc-PSMA-I&#x0026;S SPECT/CT results.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographic and clinical characteristics of the 48 study participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="bottom" colspan="2">Age at SPECT/CT (years)</td>
</tr>
<tr>
<td align="left" valign="bottom">Median (range)</td>
<td align="center" valign="bottom">75.00 (47, 96)</td>
</tr>
<tr>
<td align="left" valign="bottom">Mean&#x202F;&#x00B1;&#x202F;SD</td>
<td align="center" valign="bottom">74.17&#x202F;&#x00B1;&#x202F;9.77</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="2">tPSA level (ng/mL)</td>
</tr>
<tr>
<td align="left" valign="bottom">Median (range)</td>
<td align="center" valign="bottom">43.63 (11.00, 100.00)</td>
</tr>
<tr>
<td align="left" valign="bottom">Mean&#x202F;&#x00B1;&#x202F;SD</td>
<td align="center" valign="bottom">55.30&#x202F;&#x00B1;&#x202F;38.83</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x2264;20</td>
<td align="center" valign="bottom">15 (31.25)</td>
</tr>
<tr>
<td align="left" valign="bottom">&#x003E;20</td>
<td align="center" valign="bottom">33 (68.75)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="2">Pathology of biopsies</td>
</tr>
<tr>
<td align="left" valign="bottom">Prostate cancer patients</td>
<td align="center" valign="bottom">39 (81.30%)</td>
</tr>
<tr>
<td align="left" valign="bottom">Non-prostate cancer patients</td>
<td align="center" valign="bottom">9(18.80%)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="2">Gleason score</td>
</tr>
<tr>
<td align="left" valign="bottom">6</td>
<td align="center" valign="top">4/39(10.30%)</td>
</tr>
<tr>
<td align="left" valign="bottom">7</td>
<td align="center" valign="top">9/39(23.10%)</td>
</tr>
<tr>
<td align="left" valign="bottom">8</td>
<td align="center" valign="top">11/39(28.20%)</td>
</tr>
<tr>
<td align="left" valign="bottom">9</td>
<td align="center" valign="top">10/39(25.60%)</td>
</tr>
<tr>
<td align="left" valign="bottom">10</td>
<td align="center" valign="top">5/39(12.80%)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="2">Risk group</td>
</tr>
<tr>
<td align="left" valign="bottom">Low-intermediate risk</td>
<td align="center" valign="bottom">6/39 (15.40%)</td>
</tr>
<tr>
<td align="left" valign="bottom">High risk</td>
<td align="center" valign="bottom">33/39 (84.60%)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="2">SUVmax of prostate region</td>
</tr>
<tr>
<td align="left" valign="bottom">Median (range)</td>
<td align="center" valign="bottom">10.30(2.58, 73.20)</td>
</tr>
<tr>
<td align="left" valign="bottom">Mean&#x202F;&#x00B1;&#x202F;SD</td>
<td align="center" valign="bottom">18.37&#x202F;&#x00B1;&#x202F;19.09</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="2">Metastasis on SPECT/CT imaging</td>
</tr>
<tr>
<td align="left" valign="bottom">Non-metastatic patients (%)</td>
<td align="center" valign="bottom">13 /39 (33.30%)</td>
</tr>
<tr>
<td align="left" valign="bottom">Metastatic patients (%)</td>
<td align="center" valign="bottom">26/39 (66.70%)</td>
</tr>
<tr>
<td align="left" valign="bottom" colspan="2">Site of extraprostatic metastases</td>
</tr>
<tr>
<td align="left" valign="bottom">Lymph node metastases</td>
<td align="center" valign="bottom">22/39(56.40%)</td>
</tr>
<tr>
<td align="left" valign="bottom">Bone metastases</td>
<td align="center" valign="bottom">19/39(48.70%)</td>
</tr>
<tr>
<td align="left" valign="bottom">Visceral metastases</td>
<td align="center" valign="bottom">1/39(2.60%)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec15">
<title>Visual analysis of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging</title>
<p>As illustrated in <xref ref-type="fig" rid="fig2">Figure 2</xref>, whole-body SPECT imaging was performed at 1, 4, and 6&#x202F;h post-injection of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S. Visual assessment revealed that 1-h (A) images exhibited greater physiological tracer retention at various anatomical sites compared to 4-h (B) and 6-h (C) images. However, 4-h and 6-h images demonstrated comparable quality in terms of resolution and lesion visualization.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Whole-body SPECT images acquired at 1, 4, and 6&#x202F;h after [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S injection: <bold>(A)</bold> 1-h post-injection; <bold>(B)</bold> 4-h post-injection; <bold>(C)</bold> 6-h post-injection.</p>
</caption>
<graphic xlink:href="fmed-12-1654685-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three sets of PET scan images labeled A, B, and C show front and back views of a human body. Dark areas indicate regions of radiotracer uptake, particularly noticeable in the abdomen and head.</alt-text>
</graphic>
</fig>
<p>Considering clinical practicality and patient compliance, 4&#x202F;h post-injection was selected as the optimal imaging timepoint. In 4-h images, the physiological tracer distribution manifested three distinct uptake levels:</p>
<list list-type="bullet">
<list-item><p>High uptake regions: bilateral parotid glands, submandibular glands, kidneys, and bladder.</p></list-item>
<list-item><p>Moderate uptake regions: liver, spleen, and intestinal tract.</p></list-item>
<list-item><p>Low uptake regions: heart, lungs, thyroid, muscles, bones, and brain tissue.</p></list-item>
</list>
<p>The visual analysis results of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging for all 48 patients are summarized in <xref ref-type="table" rid="tab2">Table 2</xref>. Among the 9 non-PCa patients, 7 demonstrated negative findings with no areas of enhanced radiotracer uptake throughout the body (a representative case is shown in <xref ref-type="fig" rid="fig3">Figure 3A</xref>), while 2 patients exhibited focal increased tracer uptake in the prostate (SUVmax values of 3.26 and 3.73, respectively) without abnormal accumulation in extra-prostatic areas. Of the 39 patients with PCa, 13 demonstrated increased uptake confined to the prostate without evidence of metastatic lesions (illustrated in <xref ref-type="fig" rid="fig3">Figure 3B</xref>), and 26 showed increased uptake in both primary prostatic lesions and metastatic sites (representative images in <xref ref-type="fig" rid="fig3">Figure 3C</xref>). Based on visual analysis, [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT achieved a sensitivity of 100% (39/39), specificity of 77.8% (7/9), positive predictive value of 95.1% (39/41), negative predictive value of 100% (7/7), and overall accuracy of 95.8% (46/48) for PCa detection. Visual analysis alone could not reliably differentiate between PCa and non-PCa patients exhibiting isolated prostatic uptake; however, semi-quantitative analysis revealed that PCa patients generally demonstrated higher SUVmax values (mean SUVmax: 18.37&#x202F;&#x00B1;&#x202F;19.09) compared to the two false-positive non-PCa cases. Differences in Primary Lesion SUVmax Values among patient subgroups.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Visual analysis of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging in diagnosis of prostate cancer.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Pathological diagnosis</th>
<th align="center" valign="top" colspan="2">[<sup>99m</sup>Tc]Tc-PSMA-I&#x0026;S SPECT/CT</th>
</tr>
<tr>
<th align="center" valign="top">Positive</th>
<th align="center" valign="top">Negative</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Non-prostate cancer</td>
<td align="center" valign="middle">2</td>
<td align="center" valign="middle">7</td>
</tr>
<tr>
<td align="left" valign="middle">Prostate cancer</td>
<td align="center" valign="middle">39</td>
<td align="center" valign="middle">0</td>
</tr>
<tr>
<td align="left" valign="middle">Total</td>
<td align="center" valign="middle">41</td>
<td align="center" valign="middle">7</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p><bold>(A)</bold> [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging of a patient with benign prostatic hyperplasia (73&#x202F;years old, tPSA 11.00&#x202F;ng/mL). No significant abnormalities were observed on either whole-body planar scanning (anterior view) or axial SPECT/CT images. <bold>(B)</bold> [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging of a PCa patient [75&#x202F;years old, Gleason score 7 (4&#x202F;+&#x202F;3), tPSA 29.01&#x202F;ng/mL]. The whole-body planar scan (anterior view) and axial SPECT/CT fusion images demonstrated a primary tumor within the prostate. <bold>(C)</bold> [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging of a PCa patient [85&#x202F;years old, Gleason score 9 (4&#x202F;+&#x202F;5), tPSA 100&#x202F;ng/mL]. The whole-body planar scan (anterior view) and axial SPECT/CT fusion images revealed a primary tumor within the prostate, multiple lymph node metastases, and bone metastases.</p>
</caption>
<graphic xlink:href="fmed-12-1654685-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three sections labeled A, B, and C display medical imaging results. Each section contains a full-body scan alongside detailed pelvic cross-sections. Section A shows faint activity; B reveals moderate activity with some concentration; C displays intense localized activity. Cross-section images highlight areas of interest with color-coded contrasts, particularly in section C.</alt-text>
</graphic>
</fig>
<p>Given that PSMA uptake was observed in only 2 non-PCa patients, with negligible uptake in the remaining visually negative non-PCa patients, SUVmax analysis was not performed for the non-PCa group. In the PCa cohort (<italic>n</italic>&#x202F;=&#x202F;39), primary lesions demonstrated a median SUVmax of 10.30 (range: 2.58&#x2013;73.20). The correlation between SUVmax and PSA levels is illustrated in <xref ref-type="fig" rid="fig4">Figure 4</xref>. Patients with tPSA exceeding 20&#x202F;ng/mL exhibited significantly higher median SUVmax values [13.20 (8.72&#x2013;28.90)] compared to those with tPSA &#x2264;20&#x202F;ng/mL [6.68 (4.13&#x2013;9.84); <italic>p</italic>&#x202F;=&#x202F;0.013] (<xref ref-type="fig" rid="fig4">Figure 4A</xref>). Similarly, cases with Gleason scores &#x003E;7 showed markedly elevated SUVmax values [median: 13.60 (8.94&#x2013;35.70)] versus those with scores &#x2264;7 [median: 6.75 (3.88&#x2013;11.20); <italic>p</italic>&#x202F;=&#x202F;0.006] (<xref ref-type="fig" rid="fig4">Figure 4B</xref>). Additionally, high-risk and metastatic subgroups demonstrated significantly higher SUVmax values compared to their low/intermediate-risk (<xref ref-type="fig" rid="fig4">Figure 4C</xref>) and non-metastatic counterparts (<xref ref-type="fig" rid="fig4">Figure 4D</xref>) (<italic>p</italic>&#x202F;=&#x202F;0.010 and <italic>p</italic>&#x202F;=&#x202F;0.023, respectively). Spearman correlation analyses revealed significant positive associations between SUVmax and multiple clinical parameters, including Gleason score (rs&#x202F;=&#x202F;0.542), tPSA (rs&#x202F;=&#x202F;0.472), risk stratification (rs&#x202F;=&#x202F;0.423), and metastatic status (rs&#x202F;=&#x202F;0.372) (all <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>The boxplots demonstrate progressive increases in SUVmax of primary PCa correlating with elevated tPSA levels <bold>(A)</bold>, higher Gleason scores <bold>(B)</bold>, advanced risk stratification <bold>(C)</bold>, and the presence of metastatic disease <bold>(D)</bold>.</p>
</caption>
<graphic xlink:href="fmed-12-1654685-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four box plots compare SUVmax values across different prostate cancer indicators. A: Serum PSA level shows higher SUVmax in &#x003E;20 ng/mL group (p = 0.013). B: Gleason score indicates greater SUVmax for scores &#x003E;7 (p = 0.006). C: High-risk pathological group has increased SUVmax (p = 0.010). D: Metastasis presence correlates with higher SUVmax (p = 0.023).</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec16">
<title>The predictive value of primary tumor SUVmax for risk stratification and metastasis</title>
<p>ROC curve analysis evaluated SUVmax&#x2019;s predictive capacity for risk stratification and metastasis. For risk stratification, SUVmax demonstrated robust performance (AUC&#x202F;=&#x202F;0.84, 95% CI: 0.69&#x2013;0.99), achieving 100% sensitivity and 58% specificity at an optimal cutoff of 10.85 (<xref ref-type="fig" rid="fig5">Figure 5A</xref>). For metastatic risk prediction, SUVmax showed moderate efficacy (AUC&#x202F;=&#x202F;0.73, 95% CI: 0.56&#x2013;0.89), with 92% sensitivity and 50% specificity at a cutoff of 14.45 (<xref ref-type="fig" rid="fig5">Figure 5B</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p><bold>(A)</bold> ROC curve of SUVmax for PCa patient risk stratification; <bold>(B)</bold> ROC curve of SUVmax for PCa distant metastasis risk prediction.</p>
</caption>
<graphic xlink:href="fmed-12-1654685-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Two ROC curve graphs labeled A and B compare sensitivity and 1-specificity. Graph A shows an AUC of 0.84 (95% CI: 0.69-0.99), and Graph B shows an AUC of 0.73 (95% CI: 0.56-0.89). Both graphs have an orange line indicating the ROC curve, and a diagonal dashed line representing the line of no discrimination.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<title>Discussion</title>
<p>PCa is one of the most prevalent malignancies among men. Early diagnosis and accurate risk stratification are critical for optimizing therapeutic strategies and improving patient prognosis (<xref ref-type="bibr" rid="ref27">27</xref>). PSMA-targeted PET imaging has emerged as the gold standard for prostate cancer imaging, enabling highly sensitive early detection of subcentimeter primary malignancies, precise lymph node staging and metastatic assessment, recurrence detection, and therapeutic response evaluation. PSMA PET imaging has been incorporated into major clinical management guidelines, including those of the National Comprehensive Cancer Network, the European Society for Medical Oncology, and the European Association of Urology (<xref ref-type="bibr" rid="ref29 ref30 ref31">29&#x2013;31</xref>). While PET/CT with [<sup>68</sup>Ga]Ga-PSMA or [<sup>18</sup>F]F-PSMA tracers has demonstrated exceptional efficacy in primary PCa detection (<xref ref-type="bibr" rid="ref32">32</xref>), its widespread clinical implementation is constrained by high operational costs. In contrast, SPECT/CT offers broader accessibility and cost-effectiveness, positioning it as a viable alternative for PSMA-targeted imaging. Among recently developed [<sup>99</sup>&#x1D50;Tc]Tc-labeled PSMA probes, [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S&#x2014;originally designed for radioguided surgery&#x2014;has emerged as a promising tracer for PCa imaging. Analyzed the application value of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT in the diagnosis, metastasis prediction, and tumor invasion assessment of PCa.</p>
<p>Based on comprehensive analysis of image quality, clinical practicality, and patient compliance, we identified 4&#x202F;h post-injection as the optimal imaging timepoint for [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S. Biodistribution analysis revealed characteristic tracer uptake patterns: high uptake in bilateral parotid glands, submandibular glands, kidneys, and bladder; moderate uptake in the liver, spleen, and small intestine; and low uptake in the heart, lungs, thyroid, muscles, bones, and brain tissues. These findings indicate predominant tracer excretion via the urinary and hepatobiliary systems, with minimal physiological uptake in non-target tissues. The absence of adverse events further underscores the safety and stability of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S for clinical use.</p>
<p>In the present study, [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT exhibited excellent diagnostic performance for primary PCa, with sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 100, 77.28, 95.12, 100, and 95.83%, respectively. These results align with those reported by Farkas et al. (<xref ref-type="bibr" rid="ref33">33</xref>), who demonstrated comparable diagnostic metrics (sensitivity 86%, specificity 100%, positive predictive value 100%, negative predictive value 83%, and accuracy 92%). Werner et al. (<xref ref-type="bibr" rid="ref22">22</xref>) similarly demonstrated high sensitivity (92%) for [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT in detecting primary PCa. These findings are also consistent with previous studies by Wang et al. (<xref ref-type="bibr" rid="ref34">34</xref>) and Goffin et al. (<xref ref-type="bibr" rid="ref35">35</xref>), who reported detection rates of 100 and 94% for primary tumors in 31 and 104 PCa patients, respectively, using other [<sup>99</sup>&#x1D50;Tc]Tc-labeled PSMA radiotracers (MIP-1404 and HYNIC-PSMA) for initial staging. Regarding PSMA-targeted PET tracers, Basha et al. (<xref ref-type="bibr" rid="ref36">36</xref>) reported a detection rate of 96% using [68Ga]Ga-PSMA-11 PET/CT in 173 primary PCa patients. Collectively, these results underscore the promising potential and clinical utility of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S for primary tumor detection in early PCa diagnosis.</p>
<p>Despite high diagnostic accuracy, PSMA-targeted imaging is not devoid of false-positive findings. In our study, [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging yielded positive results in 41 cases, with 2 cases being false positives. Previous studies have shown that false-positive PSMA PET/CT findings in prostatic tissue can be attributed to various benign conditions, including hyperplasia, inflammatory processes, and glandular fibrosis secondary to repeated biopsies (<xref ref-type="bibr" rid="ref37">37</xref>). These documented factors may explain the two false-positive cases observed in our study.</p>
<p>PSMA expression levels in PCa demonstrate significant positive correlations with tumor stage, Gleason score, and pre-treatment tPSA levels, with elevated PSMA expression typically indicating increased malignancy (<xref ref-type="bibr" rid="ref38">38</xref>, <xref ref-type="bibr" rid="ref39">39</xref>). Studies have established that abnormally elevated PSMA expression serves as a predictive indicator for PCa recurrence and metastasis (<xref ref-type="bibr" rid="ref40">40</xref>). Previous studies using both PET ([<sup>68</sup>Ga]Ga&#x2212;/[<sup>18</sup>F]F-PSMA) and SPECT ([<sup>99</sup>&#x1D50;Tc]Tc-HYNIC-PSMA) modalities have demonstrated significant associations between SUVmax and clinical parameters including tPSA and Gleason score (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref41">41</xref>). Consistent with these findings, our study revealed similar correlations through semi-quantitative analysis of [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT imaging, where SUVmax showed positive associations with tPSA, Gleason score, risk stratification, and disease advancement. Importantly, patients with tPSA &#x2264;20&#x202F;ng/mL, Gleason score &#x2264;7, low-intermediate risk classification, or non-metastatic disease exhibited significantly lower SUVmax values than their counterparts, underscoring SUVmax&#x2019;s utility in risk stratification.</p>
<p>Early detection of metastatic disease in PCa patients is crucial for developing effective treatment strategies and avoiding unnecessary major surgical interventions. Multiple studies have demonstrated that PSMA PET/CT exhibits superior efficacy in detecting distant metastases in primary PCa patients compared to conventional imaging methods. This modality accurately reflects the degree of malignancy and disease staging while reducing the need for repeated examinations and invasive biopsies (<xref ref-type="bibr" rid="ref42 ref43 ref44 ref45">42&#x2013;45</xref>). Our findings demonstrate that [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT serves as a valuable and reliable tool for detecting advanced disease. In our patient cohort, this imaging modality successfully identified metastatic lesions across multiple sites: lymph node involvement in 56.4% of patients, bone metastases in 48.7%, and visceral metastases in 2.6%. Notably, lymph nodes emerged as the predominant site of extra-prostatic spread.</p>
<p>Direct comparative analysis with Ga-PSMA PET/CT was not conducted in our study, as this imaging modality was not available at our institution during the study period. However, existing literature demonstrates that Tc-PSMA imaging exhibits comparable diagnostic performance to PSMA PET/CT in metastatic evaluation. Albalooshi et al. (<xref ref-type="bibr" rid="ref18">18</xref>) systematically compared the diagnostic efficacy of Tc-PSMA versus Ga-PSMA PET/CT in 28 patients with prostate cancer (PCa). The investigators reported no statistically significant differences between the two imaging modalities in detecting lymph node and distant disease (<italic>p</italic> &#x003E;&#x202F;0.05). Similarly, Fallahi et al. (<xref ref-type="bibr" rid="ref46">46</xref>) conducted a comparative study involving 22 PCa patients and demonstrated equivalent detection rates of lymph node and distant metastases with <sup>99</sup>&#x1D50;Tc-PSMA SPECT/CT compared to Ga-PSMA PET/CT imaging. Furthermore, Singh et al. (<xref ref-type="bibr" rid="ref47">47</xref>) indicated that whole-body Tc-PSMA combined with regional SPECT/CT represents a viable alternative to Ga-PSMA PET for detecting advanced metastatic prostate cancer and evaluating therapeutic response to PSMA-based radioligand therapy. Concurrently, patient selection for Lu-PSMA radioligand therapy (RLT) necessitates sequential PSMA imaging followed by therapeutic monitoring, imposing a substantial economic burden on these patients. Within this clinical context, SPECT/CT imaging, characterized by lower costs and greater accessibility, represents a practical alternative that may improve patient compliance and enhance adherence to standardized monitoring protocols (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref49">49</xref>).</p>
<p>A distant metastasis risk prediction model based on SUVmax can serve as a factor for evaluating distant metastases. During visual assessment, extra-prostatic distant lesions showed heterogeneity and false-positive rates. When pathological results are unavailable, this may influence treatment selection. Based on our results, an optimal SUVmax value of 14.45 with 92% sensitivity may provide reference for distant metastasis diagnosis. Furthermore, the prediction model based on SUVmax demonstrated an area under the ROC curve of 0.84, effectively distinguishing high-risk PCa patients. Bjurlin et al. (<xref ref-type="bibr" rid="ref50">50</xref>) proposed that prediction models for high-risk PCa should primarily have high sensitivity to screen for patients with higher malignancy and metastatic risk while maintaining good specificity. Our study shows that the [<sup>99</sup>&#x1D50;Tc]Tc-PSMA-I&#x0026;S SPECT/CT prediction model achieved sensitivity and specificity of 100 and 58%, respectively, (cutoff value 10.85), indicating its predictive value in PCa risk stratification.</p>
<p>However, this study has certain limitations. First, the retrospective, single-center design coupled with a limited sample size (<italic>n</italic>&#x202F;=&#x202F;48, including 39 prostate cancer cases) constrains statistical power and generalizability to some extent. Future validation through larger, multicenter prospective studies will be necessary. Second, while the composite reference standard used for metastatic disease validation is clinically appropriate, it introduces uncertainty in specificity assessment since not all lesions underwent histopathological confirmation. Third, the PSMA molecular probe utilized in this study undergoes urinary excretion, which may attenuate metastatic signals near the bladder and kidneys, potentially masking tumor lesions in these regions. Furthermore, our study lacks direct comparison with [68Ga]Ga-PSMA PET/CT, which represents the current imaging gold standard for PSMA-targeted imaging. Future prospective studies incorporating head-to-head comparisons between these imaging modalities will provide valuable insights into their relative diagnostic performance and clinical utility.</p>
</sec>
<sec sec-type="conclusions" id="sec18">
<title>Conclusion</title>
<p>In conclusion, our study demonstrates that Tc-PSMA-I&#x0026;S SPECT/CT imaging constitutes a safe, reliable, and non-invasive diagnostic approach for prostate cancer (PCa), demonstrating efficacy in risk stratification of primary PCa patients and detection of distant metastases. This holds significant value for guiding therapeutic strategies. In economically underdeveloped regions with limited PET/CT availability, it may be considered as an alternative or supplementary method to PSMA PET/CT.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec20">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of Panzhihua Central Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>ML: Methodology, Writing &#x2013; review &#x0026; editing, Supervision, Writing &#x2013; original draft, Data curation, Conceptualization. ZG: Formal analysis, Writing &#x2013; original draft, Data curation, Writing &#x2013; review &#x0026; editing, Software, Investigation. JS: Validation, Project administration, Writing &#x2013; review &#x0026; editing, Methodology, Formal analysis. XL: Data curation, Investigation, Software, Writing &#x2013; original draft, Formal analysis. CL: Visualization, Project administration, Writing &#x2013; original draft, Formal analysis, Resources. TH: Funding acquisition, Resources, Visualization, Writing &#x2013; review &#x0026; editing, Project administration.</p>
</sec>
<sec sec-type="funding-information" id="sec22">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by the Wu Jieping Medical Foundation Clinical Research Special Fund (Grant No. 320.6750.2023-03-57) and the Panzhihua Science and Technology Guiding Project (Grant No. 2023ZD-S-8). Both funders had no involvement in the study design, data collection, analysis, interpretation, or manuscript preparation.</p>
</sec>
<ack>
<p>We appreciate all assistance and support provided by colleagues not listed here and our respective institutions.</p>
</ack>
<sec sec-type="COI-statement" id="sec23">
<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 sec-type="ai-statement" id="sec24">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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<sec sec-type="disclaimer" id="sec25">
<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>
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