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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Detalhes bibliográficos
Publicado no: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.
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha: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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