Negative predictive value of a prostate MRI in black men: implications for biopsy decision-making

Sarah Sandlow, Samuel Carbunaru, Zequn Sun, Bernice Ofori, Yingzhe Liu, Eric Li, Courtney MP Hollowell, Patricia Vidal, Kent T Perry Jr, Hiten D Patel, Ryan W Dobbs, David D Casalino, Cecil G Wood III, Anugayathri Jawahar, Channa Amarasekera, Jeanne M Horowitz, Frank H Miller, Emrah Gumusgoz, Ximing J Yang, Bonnie Choy, Frances Manosca, Ulas Bagci, Edward M Schaeffer, Peter Gann, Dustin D French, Ashley E Ross, Shilajit D Kundu, Adam B Murphy

Journal of Urology - 20252025

Read the paper BibTeX

Cite this work

BibTeX

Cite this work

Related publications

Hybrid multi-dimensional MRI prostate cancer detection via Hadamard network-based bias correction and residual networks

Align then refine: text-guided 3D prostate lesion segmentation

Clinical and reader associated correlates of clinically significant magnetic resonance imaging–invisible prostate cancer based on negative magnetic resonance imaging

Cancer extent and cellularity but not inflammatory density are associated with MRI-invisible prostate cancer on AI-based digital pathology deep learning models

Artificial intelligence for prostate segmentation on MRI in global populations