{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T19:03:32Z","timestamp":1790449412701,"version":"4.1.0"},"reference-count":21,"publisher":"Elsevier BV","issue":"9","license":[{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T00:00:00Z","timestamp":1756684800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,5,11]],"date-time":"2025-05-11T00:00:00Z","timestamp":1746921600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Urologic Oncology: Seminars and Original Investigations"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1016\/j.urolonc.2025.05.007","type":"journal-article","created":{"date-parts":[[2025,5,31]],"date-time":"2025-05-31T10:39:59Z","timestamp":1748687999000},"page":"527.e17-527.e24","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":4,"title":["Study of AI algorithms on mpMRI and PHI for the diagnosis of clinically significant prostate cancer"],"prefix":"10.1016","volume":"43","author":[{"given":"Zeyu","family":"Luo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jialei","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kexin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Qian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhua","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengsheng","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangpeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4688-2737","authenticated-orcid":false,"given":"Yi","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.urolonc.2025.05.007_bib0001","first-page":"209","article-title":"Global Cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries","volume":"71","author":"Sung","year":"2021","journal-title":"CA"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0002","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.prnil.2016.07.002","article-title":"Prostate cancer biomarkers: are we hitting the mark?","volume":"4","author":"McGrath","year":"2016","journal-title":"Prostate Int"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0003","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1002\/pros.22561","article-title":"Prostate health index (phi) and prostate cancer antigen 3 (PCA3) significantly improve diagnostic accuracy in patients undergoing prostate biopsy","volume":"73","author":"Perdon\u00e0","year":"2013","journal-title":"The Prostate"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0004","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0067687","article-title":"Prostate Health Index (Phi) and Prostate Cancer Antigen 3 (PCA3) significantly improve prostate cancer detection at initial biopsy in a total PSA range of 2-10 ng\/ml","volume":"8","author":"Ferro","year":"2013","journal-title":"PloS One"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0005","doi-asserted-by":"crossref","first-page":"S65","DOI":"10.5152\/tud.2020.20360","article-title":"Role of pre-biopsy multiparametric MRI in prostate cancer diagnosis: evidence from the literature","volume":"47","author":"Leung","year":"2021","journal-title":"Turk J Urol"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0006","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.eururo.2019.02.033","article-title":"Prostate imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2","volume":"76","author":"Turkbey","year":"2019","journal-title":"Eur Urol"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0007","doi-asserted-by":"crossref","DOI":"10.3390\/cancers12051204","article-title":"Applications of artificial intelligence to prostate multiparametric MRI (mpMRI): current and emerging trends","volume":"12","author":"Bardis","year":"2020","journal-title":"Cancers"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0008","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0271183","article-title":"Initial experience with AI Pathway Companion: evaluation of dashboard-enhanced clinical decision making in prostate cancer screening","volume":"17","author":"Henkel","year":"2022","journal-title":"PloS one"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0009","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1370\/afm.2205","article-title":"Digital rectal examination for prostate cancer screening in primary care: a systematic review and meta-analysis","volume":"16","author":"Naji","year":"2018","journal-title":"Ann Family Med"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0010","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1016\/j.eururo.2018.06.022","article-title":"Prostate cancer diagnostics using a combination of the Stockholm3 blood test and multiparametric magnetic resonance imaging","volume":"74","author":"Gr\u00f6nberg","year":"2018","journal-title":"Eur Urol"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0011","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1007\/s10654-017-0292-5","article-title":"A randomized trial of early detection of clinically significant prostate cancer (ProScreen): study design and rationale","volume":"32","author":"Auvinen","year":"2017","journal-title":"Eur J Epidemiol"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0012","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.eururo.2020.12.010","article-title":"Early detection of prostate cancer in 2020 and beyond: facts and recommendations for the European Union and the European Commission","volume":"79","author":"Van Poppel","year":"2021","journal-title":"Eur Urol"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0013","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1002\/ijc.33940","article-title":"A randomized trial of risk-adapted screening for prostate cancer in young men-results of the first screening round of the PROBASE trial","volume":"150","author":"Arsov","year":"2022","journal-title":"Int J Cancer"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0014","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1002\/jmri.28608","article-title":"Deep-learning models for detection and localization of visible clinically significant prostate cancer on multi-parametric MRI","volume":"58","author":"Sun","year":"2023","journal-title":"J Magn Reson Imaging: JMRI"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0015","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1186\/s12880-021-00703-3","article-title":"Development and validation of the 3D U-net algorithm for segmentation of pelvic lymph nodes on diffusion-weighted images","volume":"21","author":"Liu","year":"2021","journal-title":"BMC Med Imag"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0016","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1186\/s13244-023-01421-w","article-title":"A multicenter study of artificial intelligence-aided software for detecting visible clinically significant prostate cancer on mpMRI","volume":"14","author":"Sun","year":"2023","journal-title":"Insights Imaging"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0017","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2019-034661","article-title":"Prediction models for prostate cancer to be used in the primary care setting: a systematic review","volume":"10","author":"Aladwani","year":"2020","journal-title":"BMJ Open"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0018","first-page":"117","article-title":"Predictive models for newly diagnosed prostate cancer patients","volume":"11","author":"Lowrance","year":"2009","journal-title":"Rev Urol"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0019","doi-asserted-by":"crossref","first-page":"1742789","DOI":"10.1155\/2022\/1742789","article-title":"Diagnostic accuracy of predictive models in prostate cancer: a systematic review and meta-analysis","volume":"2022","author":"Saatchi","year":"2022","journal-title":"Prostate Cancer"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0020","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1038\/s41598-020-78428-6","article-title":"The Prostate Health Index aids multi-parametric MRI in diagnosing significant prostate cancer","volume":"11","author":"Fan","year":"2021","journal-title":"Scient Rep"},{"key":"10.1016\/j.urolonc.2025.05.007_bib0021","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1007\/s00345-022-04272-0","article-title":"The function of Prostate Health Index in detecting clinically significant prostate cancer in the PI-RADS 3 population: a multicenter prospective study","volume":"41","author":"Zhou","year":"2023","journal-title":"World J Urol"}],"container-title":["Urologic Oncology: Seminars and Original Investigations"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1078143925001784?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1078143925001784?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T17:32:48Z","timestamp":1762363968000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1078143925001784"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":21,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["S1078143925001784"],"URL":"https:\/\/doi.org\/10.1016\/j.urolonc.2025.05.007","relation":{},"ISSN":["1078-1439"],"issn-type":[{"value":"1078-1439","type":"print"}],"subject":[],"published":{"date-parts":[[2025,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Study of AI algorithms on mpMRI and PHI for the diagnosis of clinically significant prostate cancer","name":"articletitle","label":"Article Title"},{"value":"Urologic Oncology: Seminars and Original Investigations","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.urolonc.2025.05.007","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}