{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T22:37:16Z","timestamp":1774391836117,"version":"3.50.1"},"reference-count":33,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.mdpi.com"],"crossmark-restriction":true},"short-container-title":["J. Imaging"],"abstract":"<jats:p>Accurate preoperative staging of bladder cancer on MRI remains challenging because visual reads vary across observers. We investigated a multiparametric MRI (mpMRI) radiomics approach to predict muscle invasion (\u2265T2) and prospectively tested it on a validation cohort. Eighty-four patients with urothelial carcinoma underwent 1.5-T mpMRI per VI-RADS (T2-weighted imaging and DWI-derived ADC maps). Two blinded radiologists performed 3D tumor segmentation; 37 features per sequence were extracted (LifeX) using absolute resampling. In the training cohort (n = 40), features that differed between non-muscle-invasive and muscle-invasive tumors (Mann\u2013Whitney p &lt; 0.05) underwent ROC analysis with cut-offs defined by the Youden index. A compact descriptor combining GLRLM-LRLGE from T2 and GLRLM-SRLGE from ADC was then fixed and applied without re-selection to a prospective validation cohort (n = 44). Histopathology within 6 weeks\u2014TURBT or cystectomy\u2014served as the reference. Eleven T2-based and fifteen ADC-based features pointed to invasion; DWI texture features were not informative. The descriptor yielded AUCs of 0.934 (training) and 0.871 (validation) with 85.7% sensitivity and 96.2% specificity in validation. Collectively, these findings indicate that combined T2\/ADC radiomics can provide high diagnostic accuracy and may serve as a useful decision support tool, after multicenter, multi-vendor validation.<\/jats:p>","DOI":"10.3390\/jimaging11100342","type":"journal-article","created":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T09:37:21Z","timestamp":1759311441000},"page":"342","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Radiomics-Based Preoperative Assessment of Muscle-Invasive Bladder Cancer Using Combined T2 and ADC MRI: A Multicohort Validation Study"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3550-0139","authenticated-orcid":false,"given":"Dmitry","family":"Kabanov","sequence":"first","affiliation":[{"name":"Department of Computed Tomography and Magnetic Resonance Imaging, P. Hertsen Moscow Oncology Research Institute (MORI), 125284 Moscow, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8378-4338","authenticated-orcid":false,"given":"Natalia","family":"Rubtsova","sequence":"additional","affiliation":[{"name":"Department of Computed Tomography and Magnetic Resonance Imaging, P. Hertsen Moscow Oncology Research Institute (MORI), 125284 Moscow, Russia"}]},{"given":"Aleksandra","family":"Golbits","sequence":"additional","affiliation":[{"name":"Department of Computed Tomography and Magnetic Resonance Imaging, N. Lopatkin Scientific Research Institute of Urology and Interventional Radiology (SRIUIR), 105425 Moscow, Russia"}]},{"given":"Andrey","family":"Kaprin","sequence":"additional","affiliation":[{"name":"Department of Computed Tomography and Magnetic Resonance Imaging, P. Hertsen Moscow Oncology Research Institute (MORI), 125284 Moscow, Russia"},{"name":"Department of Oncology and Radiology, Institute of Medicine, Peoples\u2019 Friendship University of Russia\u2014RUDN University, 117198 Moscow, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5649-2193","authenticated-orcid":false,"given":"Valentin","family":"Sinitsyn","sequence":"additional","affiliation":[{"name":"Radiology Department of University Medical Center, Lomonosov Moscow State University, 119991 Moscow, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8514-8295","authenticated-orcid":false,"given":"Mikhail","family":"Potievskiy","sequence":"additional","affiliation":[{"name":"Center for Clinical Trials of Center for Innovative Radiological and Regenerative Technologies, Federal State Budgetary Institution National Medical Research Radiological Centre of the Ministry of Health of the Russian Federation, 249031 Obninsk, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2025,10,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1016\/j.eururo.2019.08.016","article-title":"European Association of Urology Guidelines on Non-muscle-invasive Bladder Cancer (TaT1 and Carcinoma In Situ)-2019 Update","volume":"76","author":"Babjuk","year":"2019","journal-title":"Eur. 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