Radio-pathomic Maps of Epithelium and Lumen Density Predict the Location of High-Grade Prostate Cancer

PURPOSE: This study aims to combine multiparametric magnetic resonance imaging (MRI) and digitized pathology with machine learning to generate predictive maps of histologic features for prostate cancer localization. METHODS AND MATERIALS: Thirty-nine patients underwent MRI prior to prostatectomy. Af...

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Bibliographic Details
Published in:Int J Radiat Oncol Biol Phys
Main Authors: McGarry, Sean D., Hurrell, Sarah L., Iczkowski, Kenneth A., Hall, William, Kaczmarowski, Amy L., Banerjee, Anjishnu, Keuter, Tucker, Jacobsohn, Kenneth, Bukowy, John D., Nevalainen, Marja T., Hohenwalter, Mark D., See, William A., LaViolette, Peter S.
Format: Artigo
Language:Inglês
Published: 2018
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6190585/
https://ncbi.nlm.nih.gov/pubmed/29908785
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijrobp.2018.04.044
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