Article

ADC Map Radiomics for Non-Invasive Detection of BRCA1/2 Mutation Status in Prostate Cancer: A Machine Learning-Based Radiogenomics Study

2026-08-18

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose</bold> Conventional multiparametric magnetic resonance imaging (mpMRI) parameters have limited ability to identify prostate cancer (PCa) patients harboring BRCA1/2 mutations. We investigated whether radiomic features extracted from apparent diffusion coefficient (ADC) maps can non-invasively discriminate BRCA-mutated from doubly negative (BRCA−) PCa patients. <bold>Mat...

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Literature Corpus work: c19247e7-ca11-5b7a-938c-1cc79d6f3817
DOI: 10.21203/rs.3.rs-10594837/v1

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