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T2-weighted, apparent diffusion coefficient (ADC) and fractional blood volume maps from 1.5\/3T MRI systems were used. 592 histological GP3, GP4Crib- and GP4Crib+\u2009regions were segmented on whole-mount specimens and manually co-registered to MRI sequences\/maps. Radiomics features were extracted, and an erosion process was applied to minimize the impact of delineation uncertainties. A logistic regression model was developed to differentiate GP4Crib+\u2009from GP3\/GP4Crib- in the 465 remaining regions. The differences in balanced accuracy between the model and baseline (where all regions are labeled as GP3\/GP4Crib-) and 95% confidence intervals (CI) for all metrics were assessed using bootstrapping.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>The logistic regression model, using the 90th percentile ADC feature with a negative coefficient, showed a balanced accuracy of 0.65 (95% CI: 0.48\u20130.79), receiver operating characteristic area under the curve (AUC) of 0.75 (95% CI: 0.54\u20130.92), a precision\u2013recall AUC of 0.35 (95% CI: 0.14\u20130.68).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>The radiomics MRI-based model, trained on Gleason sub-patterns segmented on whole-mount specimen, was able to differentiate GP4Crib+\u2009from GP3\/GP4Crib- patterns with moderate accuracy. The most dominant feature was the 90th percentile ADC<jats:italic>.<\/jats:italic> This exploratory study highlights 90th percentile ADC as a potential biomarker for cribriform growth differentiation, providing insights into future MRI-based risk assessment strategies.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1007\/s10334-025-01251-5","type":"journal-article","created":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T08:01:34Z","timestamp":1745913694000},"page":"817-827","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Beyond Gleason grading: MRI radiomics to differentiate cribriform growth from non-cribriform growth in prostate cancer men"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8845-1794","authenticated-orcid":false,"given":"Mar","family":"Fernandez Salamanca","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rita","family":"Sim\u00f5es","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Malgorzata","family":"Der\u0119gowska-Cylke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pim J.","family":"van Leeuwen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Henk G.","family":"van der Poel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elise","family":"Bekers","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcos A. 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The studies were conducted in accordance with the local legislation and institutional requirements.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The ethics committee\/institutional review board waived the requirement of written informed consent for participation from the participants or the participants\u2019 legal guardians\/next of kin because pursuant to national legislation prior to 25 May 2018 (Opt-out) and general hospital informed consent was considered.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}}]}}