Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion

Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion

PurposeTo assess the association of radiomics features based on multiparametric MRI (mpMRI) with the proportion of intraductal carcinoma of prostate (IDC-P) and validate the predictive models.Materials and MethodsWe retrospectively included pre-treatment MR images of prostate cancer (PCa) with IDC c...

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Bibliographic Details
Main Authors: Ling Yang, Zhengyan Li, Xu Liang, Jingxu Xu, Yusen Cai, Chencui Huang, Mengni Zhang, Jin Yao, Bin Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Oncology
Subjects:
radiomics
machine learning
prostate cancer
intraductal carcinoma
multiparametric MRI
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.934291/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.934291/full

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