Extracapsular extension risk assessment using an artificial intelligence prostate cancer mapping algorithm

Extracapsular extension risk assessment using an artificial intelligence prostate cancer mapping algorithm

Abstract Objective The objective of this study is to compare detection rates of extracapsular extension (ECE) of prostate cancer (PCa) using artificial intelligence (AI)‐generated cancer maps versus MRI and conventional nomograms. Materials and methods We retrospectively analysed data from 147 patie...

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Bibliographic Details
Main Authors: Alan Priester, Sakina Mohammed Mota, Kyla P. Grunden, Joshua Shubert, Shannon Richardson, Anthony Sisk, Ely R. Felker, James Sayre, Leonard S. Marks, Shyam Natarajan, Wayne G. Brisbane
Format: Article
Language:English
Published: Wiley 2024-10-01
Series:BJUI Compass
Subjects:
artificial intelligence
fusion biopsy
extracapsular extension
MRI
prostate cancer
Online Access:https://doi.org/10.1002/bco2.421
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https://doi.org/10.1002/bco2.421

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