Advancing Prostate Cancer Assessment: A Biparametric MRI (T2WI and DWI/ADC)-Based Radiomic Approach to Predict Tumor–Stroma Ratio

<b>Objectives:</b> This study aimed to develop and validate a biparametric MRI (bpMRI)-based radiomics model for the noninvasive prediction of tumor–stroma ratio (TSR) in prostate cancer (PCa). Additionally, we sought to explore lesion distribution patterns in the peripheral zone (PZ) and transition...

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Autori principali:	Jiangqin Ma, Xiling Gu, Zhonglin Zhang, Jun Chen, Yunfan Liu, Yang Qiu, Guangyong Ai, Xuxiang Jia, Zhenghao Li, Bo Xiang, Xiaojing He
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-10-01
Serie:	Diagnostics
Soggetti:	prostate cancer tumor–stroma ratio radiomics biparametric MRI machine learning
Accesso online:	https://www.mdpi.com/2075-4418/15/21/2722
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