Deep Learning to Simulate Contrast-Enhanced MRI for Evaluating Suspected Prostate Cancer

2025/01/01 by Hongyan Huang, Junyang Mo, Zhiguang Ding +7 · 1 voice
Medicine · #Prostate Cancer Diagnosis and Treatment #MRI in cancer diagnosis #Radiomics and Machine Learning in Medical Imaging

paper · doi:10.1148/radiol.240238

openalex publication_date 2025/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/17

Abstract

Generating simulated contrast-enhanced prostate MRI scans by using deep learning was feasible, with high similarity between simulated and acquired contrast-enhanced MRI scans and excellent reader agreement in assessing suspected prostate cancer using the Prostate Imaging Reporting and Data System, version 2.1.

Citations

• Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2
• Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images

Discussions

• Regarding the @rsnasky.bsky.social publication by Huang H et al doi.org/10.1148/radi... on AI-simulated contrast-enhancement maps for #ProstateMRI with comments in @auntminnie.bsky.social and editoria [bsky, 0 points, 0 comments]

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