Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis

Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis

Purpose: The aim of this study was to identify and rank discriminant radiomics features extracted from MR multi-modal images to construct an adaptive model for characterization of Dominant Intra-prostatic Lesions (DILs) from normal prostatic gland tissues (NT).Methods and Materials: Two cohorts were...

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Bibliographic Details
Main Authors: Hassan Bagher-Ebadian, Branislava Janic, Chang Liu, Milan Pantelic, David Hearshen, Mohamed Elshaikh, Benjamin Movsas, Indrin J. Chetty, Ning Wen
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Oncology
Subjects:
radiomics
multiparametric MRI (mpMRI)
prostate cancer
intraprostatic lesion
artifical neural network (ANN)
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2019.01313/full

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