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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190585/
https://www.ncbi.nlm.nih.gov/pubmed/29908785
http://dx.doi.org/10.1016/j.ijrobp.2018.04.044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190585/
https://www.ncbi.nlm.nih.gov/pubmed/29908785
http://dx.doi.org/10.1016/j.ijrobp.2018.04.044

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