{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T13:51:32Z","timestamp":1786456292055,"version":"build-2736575974"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:00:00Z","timestamp":1750204800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:00:00Z","timestamp":1750204800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Youth Science Project of the Wuxi Health Committee","award":["Q202249"],"award-info":[{"award-number":["Q202249"]}]},{"DOI":"10.13039\/501100008750","name":"Shanghai Hospital Development Center","doi-asserted-by":"crossref","award":["SHDC12023103"],"award-info":[{"award-number":["SHDC12023103"]}],"id":[{"id":"10.13039\/501100008750","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Shanghai Scientific and Technological Innovation Program","award":["21XD1431300"],"award-info":[{"award-number":["21XD1431300"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cancer Imaging"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Purpose<\/jats:title>\n            <jats:p>This study aimed to evaluate the effectiveness of using a radiomics model to predict extraprostatic extension (EPE) in prostate cancer from PSMA PET\/CT, and to directly compare its performance with the Mehralivand Grading System, an MRI-based method for EPE assessment.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>A total of 206 patients who underwent radical prostatectomy were included in this study. Radiomics features were extracted from PSMA PET\/CT images to construct predictive models using Support Vector Machine (SVM) and Random Forest algorithms. In addition, among the 63 patients who underwent both PSMA PET\/CT and multiparametric MRI (mpMRI), the performance of the radiomics model was compared with that of the Mehralivand Grading System. Key performance metrics, including the area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV), were reported.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Among the 63 patients who underwent both PSMA PET\/CT and multiparametric MRI (mpMRI), the radiomics model achieved an AUC of 76.8% (95% CI: 64.4\u201386.5%), sensitivity of 72.0%, specificity of 81.5%, PPV of 72.0%, and NPV of 81.6%. In comparison, the Mehralivand Grading System yielded AUCs of 66.8%, 63.5%, and 60.2% from three independent readers. DeLong\u2019s test showed that the radiomics model significantly outperformed all three readers in terms of AUC (<jats:italic>p<\/jats:italic>\u2009=\u20090.013, 0.003, and 0.001, respectively).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>The radiomics model derived from PSMA PET\/CT can better capture features associated with EPE and shows promise for aiding preoperative assessment in prostate cancer. However, further validation in larger, independent cohorts is necessary to confirm its stability and clinical utility.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/s40644-025-00894-w","type":"journal-article","created":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T11:14:58Z","timestamp":1750245298000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Using radiomics model for predicting extraprostatic extension with PSMA PET\/CT studies: a comparative study with the Mehralivand grading system"],"prefix":"10.1186","volume":"25","author":[{"given":"Linjie","family":"Bian","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fanxuan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yige","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Panli","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiufang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Bi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2544-7522","authenticated-orcid":false,"given":"Shaoli","family":"Song","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,6,18]]},"reference":[{"key":"894_CR1","doi-asserted-by":"crossref","unstructured":"Parker CC, Clarke NW, Cook AD, Petersen PM, Catton CN, Cross WR et al. Randomised trial of no, Short-term, or Long-term androgen deprivation therapy with postoperative radiotherapy after radical prostatectomy: results from the Three-way comparison of RADICALS-HD (NCT00541047). Eur Urol. 2024.","DOI":"10.1016\/j.eururo.2024.07.026"},{"issue":"4","key":"894_CR2","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.eururo.2021.10.017","volume":"81","author":"A Sood","year":"2022","unstructured":"Sood A, Jeong W, Palma-Zamora I, Abdollah F, Butaney M, Corsi N, et al. Description of surgical technique and oncologic and functional outcomes of the precision prostatectomy procedure (IDEAL stage 1-2b Study). Eur Urol. 2022;81(4):396\u2013406.","journal-title":"Eur Urol"},{"issue":"4","key":"894_CR3","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1016\/j.eururo.2021.06.020","volume":"80","author":"L Bianchi","year":"2021","unstructured":"Bianchi L, Chessa F, Angiolini A, Cercenelli L, Lodi S, Bortolani B, et al. The use of augmented reality to guide the intraoperative frozen section during Robot-assisted radical prostatectomy. Eur Urol. 2021;80(4):480\u20138.","journal-title":"Eur Urol"},{"issue":"3","key":"894_CR4","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1016\/j.eururo.2020.11.042","volume":"79","author":"MC Moschovas","year":"2021","unstructured":"Moschovas MC, Bhat S, Sandri M, Rogers T, Onol F, Mazzone E, et al. Comparing the approach to radical prostatectomy using the multiport Da Vinci Xi and Da Vinci SP robots: A propensity score analysis of perioperative outcomes. Eur Urol. 2021;79(3):393\u2013404.","journal-title":"Eur Urol"},{"issue":"9","key":"894_CR5","doi-asserted-by":"publisher","first-page":"2833","DOI":"10.1007\/s00259-024-06698-7","volume":"51","author":"K Kluge","year":"2024","unstructured":"Kluge K, Einspieler H, Haberl D, Spielvogel C, Amereller D, Egger G, et al. Comparison of discovery rates and prognostic utility of [(68)Ga]Ga-PSMA-11 PET\/CT and Circulating tumor DNA in prostate cancer-a cross-sectional study. Eur J Nucl Med Mol Imaging. 2024;51(9):2833\u201342.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"2","key":"894_CR6","doi-asserted-by":"publisher","first-page":"e231879","DOI":"10.1148\/radiol.231879","volume":"311","author":"BM Priv\u00e9","year":"2024","unstructured":"Priv\u00e9 BM, Isra\u00ebl B, Janssen MJR, van der Leest MMG, de Rooij M, van Ipenburg JA, et al. Multiparametric MRI and (18)F-PSMA-1007 PET\/CT for the detection of clinically significant prostate Cancer. Radiology. 2024;311(2):e231879.","journal-title":"Radiology"},{"issue":"3","key":"894_CR7","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1007\/s00259-023-06483-y","volume":"51","author":"S Ghezzo","year":"2024","unstructured":"Ghezzo S, Mapelli P, Samanes Gajate AM, Palmisano A, Cucchiara V, Brembilla G, et al. Diagnostic accuracy of fully hybrid [(68)Ga]Ga-PSMA-11 PET\/MRI and [(68)Ga]Ga-RM2 PET\/MRI in patients with biochemically recurrent prostate cancer: a prospective single-center phase II clinical trial. Eur J Nucl Med Mol Imaging. 2024;51(3):907\u201318.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"5","key":"894_CR8","doi-asserted-by":"publisher","first-page":"1247","DOI":"10.1002\/jmri.25711","volume":"46","author":"EC Ehman","year":"2017","unstructured":"Ehman EC, Johnson GB, Villanueva-Meyer JE, Cha S, Leynes AP, Larson PEZ, et al. PET\/MRI: where might it replace PET\/CT? J Magn Reson Imaging. 2017;46(5):1247\u201362.","journal-title":"J Magn Reson Imaging"},{"issue":"12","key":"894_CR9","doi-asserted-by":"publisher","first-page":"4570","DOI":"10.7150\/thno.96921","volume":"14","author":"J Ning","year":"2024","unstructured":"Ning J, Spielvogel CP, Haberl D, Trachtova K, Stoiber S, Rasul S, et al. A novel assessment of whole-mount Gleason grading in prostate cancer to identify candidates for radical prostatectomy: a machine learning-based multiomics study. Theranostics. 2024;14(12):4570\u201381.","journal-title":"Theranostics"},{"issue":"1154","key":"894_CR10","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1093\/bjr\/tqad038","volume":"97","author":"K Pan","year":"2024","unstructured":"Pan K, Yao F, Hong W, Xiao J, Bian S, Zhu D, et al. Multimodal radiomics based on 18F-Prostate-specific membrane antigen-1007 PET\/CT and multiparametric MRI for prostate cancer extracapsular extension prediction. Br J Radiol. 2024;97(1154):408\u201314.","journal-title":"Br J Radiol"},{"key":"894_CR11","doi-asserted-by":"crossref","unstructured":"Guglielmo P, Marturano F, Bettinelli A, Gregianin M, Paiusco M, Evangelista L. Additional value of PET radiomic features for the initial staging of prostate cancer: A systematic review from the literature. Cancers (Basel). 2021;13(23).","DOI":"10.3390\/cancers13236026"},{"issue":"1","key":"894_CR12","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1186\/s40644-021-00414-6","volume":"21","author":"D He","year":"2021","unstructured":"He D, Wang X, Fu C, Wei X, Bao J, Ji X, et al. MRI-based radiomics models to assess prostate cancer, extracapsular extension and positive surgical margins. Cancer Imaging. 2021;21(1):46.","journal-title":"Cancer Imaging"},{"issue":"6","key":"894_CR13","doi-asserted-by":"publisher","first-page":"3981","DOI":"10.1007\/s00330-023-10427-3","volume":"34","author":"A Ponsiglione","year":"2024","unstructured":"Ponsiglione A, Gambardella M, Stanzione A, Green R, Cantoni V, Nappi C, et al. Radiomics for the identification of extraprostatic extension with prostate MRI: a systematic review and meta-analysis. Eur Radiol. 2024;34(6):3981\u201391.","journal-title":"Eur Radiol"},{"issue":"3","key":"894_CR14","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1148\/radiol.2018181278","volume":"290","author":"S Mehralivand","year":"2019","unstructured":"Mehralivand S, Shih JH, Harmon S, Smith C, Bloom J, Czarniecki M, et al. A grading system for the assessment of risk of extraprostatic extension of prostate Cancer at multiparametric MRI. Radiology. 2019;290(3):709\u201319.","journal-title":"Radiology"},{"issue":"3","key":"894_CR15","doi-asserted-by":"publisher","first-page":"1419","DOI":"10.1109\/TCYB.2021.3108143","volume":"53","author":"L Xie","year":"2023","unstructured":"Xie L, Luo Y, Su SF, Wei H. Graph regularized structured output SVM for early expression detection with online extension. IEEE Trans Cybern. 2023;53(3):1419\u201331.","journal-title":"IEEE Trans Cybern"},{"issue":"12","key":"894_CR16","doi-asserted-by":"publisher","first-page":"7210","DOI":"10.1109\/TNNLS.2021.3084467","volume":"33","author":"C Ding","year":"2022","unstructured":"Ding C, Bao TY, Huang HL. Quantum-Inspired support vector machine. IEEE Trans Neural Netw Learn Syst. 2022;33(12):7210\u201322.","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"894_CR17","doi-asserted-by":"publisher","first-page":"116663","DOI":"10.1016\/j.bios.2024.116663","volume":"264","author":"S Han","year":"2024","unstructured":"Han S, Park J, Moon S, Eom S, Jin CM, Kim S, et al. Label-free and liquid state SERS detection of multi-scaled bioanalytes via light-induced pinpoint colloidal assembly. Biosens Bioelectron. 2024;264:116663.","journal-title":"Biosens Bioelectron"},{"issue":"2","key":"894_CR18","doi-asserted-by":"publisher","first-page":"1187","DOI":"10.1021\/acs.est.3c07042","volume":"58","author":"C Yang","year":"2024","unstructured":"Yang C, Dong H, Chen Y, Xu L, Chen G, Fan X, et al. New insights on the formation of nucleation mode particles in a coastal City based on a machine learning approach. Environ Sci Technol. 2024;58(2):1187\u201398.","journal-title":"Environ Sci Technol"},{"key":"894_CR19","doi-asserted-by":"crossref","unstructured":"Basith S, Hasan MM, Lee G, Wei L, Manavalan B. Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Brief Bioinform. 2021;22(6).","DOI":"10.1093\/bib\/bbab252"},{"issue":"3","key":"894_CR20","doi-asserted-by":"publisher","first-page":"e233435","DOI":"10.1148\/radiol.233435","volume":"312","author":"A Hata","year":"2024","unstructured":"Hata A, Aoyagi K, Hino T, Kawagishi M, Wada N, Song J, et al. Automated interstitial lung abnormality probability prediction at CT: A Stepwise machine learning approach in the Boston lung Cancer study. Radiology. 2024;312(3):e233435.","journal-title":"Radiology"},{"issue":"8","key":"894_CR21","doi-asserted-by":"publisher","first-page":"1595","DOI":"10.1158\/1078-0432.CCR-23-3052","volume":"30","author":"S Archer","year":"2024","unstructured":"Archer S, Brailey PM, Song M, Bartlett PD, Figueiredo I, Gurel B, et al. CB307: A dual targeting costimulatory humabody VH therapeutic for treating PSMA-Positive tumors. Clin Cancer Res. 2024;30(8):1595\u2013606.","journal-title":"Clin Cancer Res"},{"issue":"10","key":"894_CR22","doi-asserted-by":"publisher","first-page":"2998","DOI":"10.1007\/s00259-023-06492-x","volume":"51","author":"H Fu","year":"2024","unstructured":"Fu H, Lou K, He H, Wang Y, Mi Y, Li W, et al. A novel PSMA targeted dual-function near-infrared fluorescence and PET probe for the image-guided surgery and detection of prostate cancer. Eur J Nucl Med Mol Imaging. 2024;51(10):2998\u20133008.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"8","key":"894_CR23","doi-asserted-by":"publisher","first-page":"2821","DOI":"10.1007\/s00259-021-05636-1","volume":"49","author":"DX Qiu","year":"2022","unstructured":"Qiu DX, Li J, Zhang JW, Chen MF, Gao XM, Tang YX, et al. Dual-tracer PET\/CT-targeted, mpMRI-targeted, systematic biopsy, and combined biopsy for the diagnosis of prostate cancer: a pilot study. Eur J Nucl Med Mol Imaging. 2022;49(8):2821\u201332.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"5","key":"894_CR24","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1007\/s00428-014-1554-1","volume":"464","author":"DM Berney","year":"2014","unstructured":"Berney DM, Algaba F, Camparo P, Comp\u00e9rat E, Griffiths D, Kristiansen G, et al. Variation in reporting of cancer extent and benign histology in prostate biopsies among European pathologists. Virchows Arch. 2014;464(5):583\u20137.","journal-title":"Virchows Arch"},{"issue":"3","key":"894_CR25","doi-asserted-by":"publisher","first-page":"418","DOI":"10.1097\/PAS.0b013e31823dafad","volume":"36","author":"AY Chuang","year":"2012","unstructured":"Chuang AY, Tsou MH, Chang SJ, Yang LY, Shih CC, Tsai MP, et al. Mycobacterium abscessus granulomatous prostatitis. Am J Surg Pathol. 2012;36(3):418\u201322.","journal-title":"Am J Surg Pathol"},{"issue":"4","key":"894_CR26","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1002\/cjp2.142","volume":"5","author":"A B\u00f8rretzen","year":"2019","unstructured":"B\u00f8rretzen A, Gravdal K, Haukaas SA, Beisland C, Akslen LA, Halvorsen OJ. FOXC2 expression and epithelial-mesenchymal phenotypes are associated with castration resistance, metastasis and survival in prostate cancer. J Pathol Clin Res. 2019;5(4):272\u201386.","journal-title":"J Pathol Clin Res"}],"container-title":["Cancer Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40644-025-00894-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s40644-025-00894-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40644-025-00894-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T11:15:00Z","timestamp":1750245300000},"score":1,"resource":{"primary":{"URL":"https:\/\/cancerimagingjournal.biomedcentral.com\/articles\/10.1186\/s40644-025-00894-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,18]]},"references-count":26,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["894"],"URL":"https:\/\/doi.org\/10.1186\/s40644-025-00894-w","relation":{},"ISSN":["1470-7330"],"issn-type":[{"value":"1470-7330","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,18]]},"assertion":[{"value":"10 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The study was approved by the Ethics Committee of Fudan University Shanghai Cancer Center (Ethical approval number: 1612167-18).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"A specifc informed consent was waived because of the observational and retrospective study design.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"77"}}