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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書誌詳細
出版年:Int J Radiat Oncol Biol Phys
主要な著者: 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.
フォーマット: Artigo
言語:Inglês
出版事項: 2018
主題:
Article
オンライン･アクセス: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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