biostudies-literatureYuan LKey Research and Development Projects of Shaanxi ProvinceInnovation Medical Research Special Fund of Air Force Medical University Xijing HospitalNational Natural Science Foundation of Chinae240395https://www.ebi.ac.uk/biostudies/studies/S-EPMC12670029biostudies-literatureUnknown7(6)Purpose To evaluate the ability of habitat imaging to noninvasively assess high-grade prostate cancer (PCa). Materials and Methods This retrospective, multicenter study included patients with PCa undergoing MRI examination and subsequent radical prostatectomy (RP) between January 2018 and June 2024. Following the 2019 International Society of Urological Pathology (ISUP) guidelines, patients were categorized into low- to medium-grade (ISUP ≤ 3) and high-grade (ISUP ≥ 4) groups, using RP results as the reference. After integrating multimodal imaging data of each voxel, lesions were clustered into <i>k</i> habitat subregions. RP specimens were matched to these subregions, and each subregion's ISUP grade was evaluated to calculate the detection rate of high-grade lesions. Logistic regression iRadiology. Imaging cancerMRI-based Habitat Imaging for Noninvasive Prediction of High-Grade Prostate Cancer.PMC12670029XJZT25CX072025SF-YBXM-3718230224482220108004Xia YFu QMa LZhang JFeng XRen JYuan LHuan YHan YYan BQin WHou GfalseMRI-based Habitat Imaging for Noninvasive Prediction of High-Grade Prostate Cancer.Purpose To evaluate the ability of habitat imaging to noninvasively assess high-grade prostate cancer (PCa). Materials and Methods This retrospective, multicenter study included patients with PCa undergoing MRI examination and subsequent radical prostatectomy (RP) between January 2018 and June 2024. Following the 2019 International Society of Urological Pathology (ISUP) guidelines, patients were categorized into low- to medium-grade (ISUP ≤ 3) and high-grade (ISUP ≥ 4) groups, using RP results as the reference. After integrating multimodal imaging data of each voxel, lesions were clustered into <i>k</i> habitat subregions. RP specimens were matched to these subregions, and each subregion's ISUP grade was evaluated to calculate the detection rate of high-grade lesions. Logistic regression i2025-01-01T00:00:00Z2025 Nov2026-06-05T21:06:35.292Z2026-05-21T03:13:10.73ZS-EPMC126700294117107710.1148/rycan.240395