{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T15:21:12Z","timestamp":1788189672238,"version":"build-2803163510"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"This study was funded by the Henan Provincial Medical Science and Technology Research Program","award":["LHGJ20220797"],"award-info":[{"award-number":["LHGJ20220797"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int Urol Nephrol"],"DOI":"10.1007\/s11255-026-05366-z","type":"journal-article","created":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T15:09:18Z","timestamp":1788188958000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Apparent diffusion coefficient radiomics for differentiating benign and malignant PI-RADS 3\u20135 prostate lesions: external validation"],"prefix":"10.1007","author":[{"given":"Shuman","family":"Du","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuren","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuyan","family":"Mei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhou","family":"Shen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,8,31]]},"reference":[{"issue":"3","key":"5366_CR1","doi-asserted-by":"publisher","first-page":"229","DOI":"10.3322\/caac.21834","volume":"74","author":"F Bray","year":"2022","unstructured":"Bray F, Laversanne M, Sung H et al (2022) Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 74(3):229\u2013263. https:\/\/doi.org\/10.3322\/caac.21834","journal-title":"CA Cancer J Clin"},{"key":"5366_CR2","doi-asserted-by":"publisher","DOI":"10.3390\/jcm14093067","author":"A Czerw","year":"2025","unstructured":"Czerw A, Depta\u0142a A, G\u0142owacka M et al (2025) Prostate cancer-research advances in early detection. J Clin Med. https:\/\/doi.org\/10.3390\/jcm14093067","journal-title":"J Clin Med"},{"issue":"3","key":"5366_CR3","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/j.eururo.2024.07.019","volume":"87","author":"RCA Leenen","year":"2025","unstructured":"Leenen RCA, Venderbos LDF, Helleman J et al (2025) Prostate cancer early detection in the European Union and UK. Eur Urol 87(3):326\u2013339. https:\/\/doi.org\/10.1016\/j.eururo.2024.07.019","journal-title":"Eur Urol"},{"issue":"4","key":"5366_CR4","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1016\/j.euo.2023.12.005","volume":"7","author":"A Matsukawa","year":"2024","unstructured":"Matsukawa A, Yanagisawa T, Bekku K et al (2024) Comparing the performance of digital rectal examination and prostate-specific antigen as a screening test for prostate cancer: a systematic review and meta-analysis. Eur Urol Oncol 7(4):697\u2013704. https:\/\/doi.org\/10.1016\/j.euo.2023.12.005","journal-title":"Eur Urol Oncol"},{"issue":"1","key":"5366_CR5","doi-asserted-by":"publisher","first-page":"2552","DOI":"10.1186\/s12889-023-17440-7","volume":"23","author":"BC Serd\u00e0-Ferrer","year":"2023","unstructured":"Serd\u00e0-Ferrer BC, Sanvisens A, Fuentes-Raspall R et al (2023) Significantly reduced incidence and improved survival from prostate cancer over 25 years. BMC Public Health 23(1):2552. https:\/\/doi.org\/10.1186\/s12889-023-17440-7","journal-title":"BMC Public Health"},{"issue":"20","key":"5366_CR6","doi-asserted-by":"publisher","first-page":"4278","DOI":"10.1158\/1078-0432.Ccr-25-0320","volume":"31","author":"J Jiao","year":"2025","unstructured":"Jiao J, Ma S, Wu P et al (2025) Transrectal Ultrasound-guided prostate biopsy with and without PSMA-PET-targeted prostate biopsy for prostate cancer diagnosis. Clin Cancer Res 31(20):4278\u20134287. https:\/\/doi.org\/10.1158\/1078-0432.Ccr-25-0320","journal-title":"Clin Cancer Res"},{"issue":"6","key":"5366_CR7","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1001\/jamaoncol.2024.0734","volume":"10","author":"T Fazekas","year":"2024","unstructured":"Fazekas T, Shim SR, Basile G et al (2024) Magnetic resonance imaging in prostate cancer screening: a systematic review and meta-analysis. JAMA Oncol 10(6):745\u2013754. https:\/\/doi.org\/10.1001\/jamaoncol.2024.0734","journal-title":"JAMA Oncol"},{"issue":"1","key":"5366_CR8","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1038\/s41585-019-0212-4","volume":"17","author":"A Stabile","year":"2020","unstructured":"Stabile A, Giganti F, Rosenkrantz AB et al (2020) Multiparametric MRI for prostate cancer diagnosis: current status and future directions. Nat Rev Urol 17(1):41\u201361. https:\/\/doi.org\/10.1038\/s41585-019-0212-4","journal-title":"Nat Rev Urol"},{"issue":"4","key":"5366_CR9","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2022-070280","volume":"13","author":"A Asif","year":"2023","unstructured":"Asif A, Nathan A, Ng A et al (2023) Comparing biparametric to multiparametric MRI in the diagnosis of clinically significant prostate cancer in biopsy-naive men (PRIME): a prospective, international, multicentre, non-inferiority within-patient, diagnostic yield trial protocol. BMJ Open 13(4):e070280. https:\/\/doi.org\/10.1136\/bmjopen-2022-070280","journal-title":"BMJ Open"},{"key":"5366_CR10","doi-asserted-by":"publisher","DOI":"10.3390\/jcm11071921","author":"T De Perrot","year":"2022","unstructured":"De Perrot T, Sadjo Zoua C, Glessgen CG et al (2022) Diffusion-weighted MRI in the genitourinary system. J Clin Med. https:\/\/doi.org\/10.3390\/jcm11071921","journal-title":"J Clin Med"},{"issue":"1","key":"5366_CR11","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1007\/s00330-024-10890-6","volume":"35","author":"G Agrotis","year":"2025","unstructured":"Agrotis G, Pooch E, Abdelatty M et al (2025) Diagnostic performance of ADC and ADCratio in MRI-based prostate cancer assessment: a systematic review and meta-analysis. Eur Radiol 35(1):404\u2013416. https:\/\/doi.org\/10.1007\/s00330-024-10890-6","journal-title":"Eur Radiol"},{"issue":"1","key":"5366_CR12","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-92341-6","volume":"11","author":"N Sushentsev","year":"2021","unstructured":"Sushentsev N, Rundo L, Blyuss O, Gnanapragasam VJ, Sala E, Barrett T (2021) MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance. Sci Rep 11(1):12917. https:\/\/doi.org\/10.1038\/s41598-021-92341-6","journal-title":"Sci Rep"},{"issue":"6","key":"5366_CR13","doi-asserted-by":"publisher","first-page":"1892","DOI":"10.1002\/jmri.27565","volume":"54","author":"C Han","year":"2021","unstructured":"Han C, Ma S, Liu X et al (2021) Radiomics models based on apparent diffusion coefficient maps for the prediction of high-grade prostate cancer at radical prostatectomy: comparison with preoperative biopsy. J Magn Reson Imaging 54(6):1892\u20131901. https:\/\/doi.org\/10.1002\/jmri.27565","journal-title":"J Magn Reson Imaging"},{"key":"5366_CR14","doi-asserted-by":"publisher","DOI":"10.3390\/life12070946","author":"J Bleker","year":"2022","unstructured":"Bleker J, Kwee TC, Yakar D (2022) Quality of multicenter studies using MRI radiomics for diagnosing clinically significant prostate cancer: a systematic review. Life (Basel). https:\/\/doi.org\/10.3390\/life12070946","journal-title":"Life (Basel)"},{"key":"5366_CR15","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13163944","author":"D Corradini","year":"2021","unstructured":"Corradini D, Brizi L, Gaudiano C et al (2021) Challenges in the use of artificial intelligence for prostate cancer diagnosis from multiparametric imaging data. Cancers (Basel). https:\/\/doi.org\/10.3390\/cancers13163944","journal-title":"Cancers (Basel)"},{"issue":"2","key":"5366_CR16","doi-asserted-by":"publisher","DOI":"10.2214\/ajr.24.31715","volume":"225","author":"DJA Margolis","year":"2025","unstructured":"Margolis DJA, Chatterjee A, deSouza NM et al (2025) Quantitative prostate MRI, from the AJR special series on quantitative imaging. AJR Am J Roentgenol 225(2):e2431715. https:\/\/doi.org\/10.2214\/ajr.24.31715","journal-title":"AJR Am J Roentgenol"},{"issue":"1","key":"5366_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/s12672-024-01067-0","volume":"15","author":"X Chen","year":"2024","unstructured":"Chen X, Wang H, Xia Y, Shi F, He L, Liu E (2024) The relationship between contrast-enhanced computed tomography radiomics features and mitosis karyorrhexis index in neuroblastoma. Discov Oncol 15(1):201. https:\/\/doi.org\/10.1007\/s12672-024-01067-0","journal-title":"Discov Oncol"},{"key":"5366_CR18","unstructured":"Zwanenburg A, Leger S, Valli\u00e8res M, L\u00f6ck S. Image biomarker standardisation initiative. arXiv preprint arXiv. 2016. http:\/\/arxiv.org\/abs\/1612.07003."},{"issue":"1","key":"5366_CR19","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1038\/s41391-025-00997-2","volume":"29","author":"Y Zhao","year":"2026","unstructured":"Zhao Y, Zhang L, Zhang S et al (2026) Machine learning-based MRI imaging for prostate cancer diagnosis: systematic review and meta-analysis. Prostate Cancer Prostatic Dis 29(1):159\u2013166. https:\/\/doi.org\/10.1038\/s41391-025-00997-2","journal-title":"Prostate Cancer Prostatic Dis"},{"issue":"13","key":"5366_CR20","doi-asserted-by":"publisher","first-page":"1170","DOI":"10.1001\/jama.2025.13722","volume":"334","author":"A Ng","year":"2025","unstructured":"Ng A, Asif A, Agarwal R et al (2025) Biparametric vs multiparametric MRI for prostate cancer diagnosis: the PRIME diagnostic clinical trial. JAMA 334(13):1170\u20131179. https:\/\/doi.org\/10.1001\/jama.2025.13722","journal-title":"JAMA"},{"issue":"1","key":"5366_CR21","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1186\/s13244-024-01783-9","volume":"15","author":"E Mylona","year":"2024","unstructured":"Mylona E, Zaridis DI, Kalantzopoulos C et al (2024) Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences. Insights Imaging 15(1):265. https:\/\/doi.org\/10.1186\/s13244-024-01783-9","journal-title":"Insights Imaging"},{"issue":"2","key":"5366_CR22","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.233337","volume":"312","author":"B Oerther","year":"2024","unstructured":"Oerther B, Nedelcu A, Engel H et al (2024) Update on PI-RADS version 2.1 diagnostic performance benchmarks for prostate MRI: systematic review and meta-analysis. Radiology 312(2):e233337. https:\/\/doi.org\/10.1148\/radiol.233337","journal-title":"Radiology"},{"issue":"2","key":"5366_CR23","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.euo.2023.08.002","volume":"7","author":"S Wang","year":"2024","unstructured":"Wang S, Kozarek J, Russell R et al (2024) Diagnostic performance of prostate-specific antigen density for detecting clinically significant prostate cancer in the era of magnetic resonance imaging: a systematic review and meta-analysis. Eur Urol Oncol 7(2):189\u2013203. https:\/\/doi.org\/10.1016\/j.euo.2023.08.002","journal-title":"Eur Urol Oncol"},{"issue":"2","key":"5366_CR24","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1148\/radiol.2020191145","volume":"295","author":"A Zwanenburg","year":"2020","unstructured":"Zwanenburg A, Valli\u00e8res M, Abdalah MA et al (2020) The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping. Radiology 295(2):328\u2013338. https:\/\/doi.org\/10.1148\/radiol.2020191145","journal-title":"Radiology"},{"issue":"3","key":"5366_CR25","doi-asserted-by":"publisher","first-page":"1929","DOI":"10.1007\/s10278-025-01585-5","volume":"39","author":"MR Salmanpour","year":"2026","unstructured":"Salmanpour MR, Amiri S, Gharibi S et al (2026) Radiological and biological dictionary of radiomics features: addressing understandable AI issues in personalized prostate cancer, dictionary version PM1.0. J Imaging Informat Med 39(3):1929\u20131950. https:\/\/doi.org\/10.1007\/s10278-025-01585-5","journal-title":"J Imaging Informat Med"},{"issue":"3","key":"5366_CR26","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.1007\/s00330-024-11299-x","volume":"35","author":"AU Cavallo","year":"2025","unstructured":"Cavallo AU, Stanzione A, Ponsiglione A et al (2025) Prostate cancer MRI methodological radiomics score: a EuSoMII radiomics auditing group initiative. Eur Radiol 35(3):1157\u20131165. https:\/\/doi.org\/10.1007\/s00330-024-11299-x","journal-title":"Eur Radiol"},{"issue":"6","key":"5366_CR27","doi-asserted-by":"publisher","DOI":"10.1148\/rycan.240050","volume":"6","author":"EC Yilmaz","year":"2024","unstructured":"Yilmaz EC, Harmon SA, Law YM et al (2024) External validation of a previously developed deep learning-based prostate lesion detection algorithm on paired external and in-house biparametric MRI scans. Radiol Imaging Cancer 6(6):e240050. https:\/\/doi.org\/10.1148\/rycan.240050","journal-title":"Radiol Imaging Cancer"},{"issue":"3","key":"5366_CR28","doi-asserted-by":"publisher","first-page":"e241516","DOI":"10.1001\/jamanetworkopen.2024.1516","volume":"7","author":"HD Patel","year":"2024","unstructured":"Patel HD, Remmers S, Ellis JL et al (2024) Comparison of magnetic resonance imaging-based risk calculators to predict prostate cancer risk. JAMA Netw Open 7(3):e241516. https:\/\/doi.org\/10.1001\/jamanetworkopen.2024.1516","journal-title":"JAMA Netw Open"},{"issue":"1","key":"5366_CR29","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1186\/s13244-024-01631-w","volume":"15","author":"J Bao","year":"2024","unstructured":"Bao J, Qiao X, Song Y et al (2024) Prediction of clinically significant prostate cancer using radiomics models in real-world clinical practice: a retrospective multicenter study. Insight Imaging 15(1):68. https:\/\/doi.org\/10.1186\/s13244-024-01631-w","journal-title":"Insight Imaging"}],"container-title":["International Urology and Nephrology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11255-026-05366-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11255-026-05366-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11255-026-05366-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T15:09:20Z","timestamp":1788188960000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11255-026-05366-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,31]]},"references-count":29,"alternative-id":["5366"],"URL":"https:\/\/doi.org\/10.1007\/s11255-026-05366-z","relation":{},"ISSN":["1573-2584"],"issn-type":[{"value":"1573-2584","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,31]]},"assertion":[{"value":"4 June 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 August 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 August 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare that they have no conflicts of interest.","order":1,"name":"Ethics","label":"Conflict of interests","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This retrospective diagnostic-model study was approved by the Medical Ethics Committee of Zhengzhou People's Hospital (approval no.: KY2024-078-01). The requirement for written informed consent was waived because of the retrospective study design.","order":2,"name":"Ethics","label":"Ethical approval and informed consent","group":{"name":"EthicsHeading","label":"Declarations"}}]}}