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Deep Learning Identified Extra-Prostatic Extension and Seminal Vesicle Invasion as an MRI Biomarker for Prostate Cancer Outcomes

2025-01-01

Abstract excerpt

Current risk stratification methods for localized prostate cancer (PCa) are reliant on clinical and pathological variables that do not easily account for location of cancer spread. Prostate MRI is a helpful tool to identify anatomic extra-prostatic cancer spread (EPE) and seminal vesicle invasion (SVI) but is subject to radiologist expertise and inter-observer variation. We report deep learning models which provid...

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Literature Corpus work
fa73eac2-bdb0-5467-b521-3ed3ac5d6bc7
DOI
10.1101/2024.12.31.24319822
Open publication

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Deep Learning Identified Extra-Prostatic Extension and Seminal Vesicle Invasion as an MRI Biomarker for Prostate Cancer OutcomesDOI 10.1101/2024.12.31.24319822
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