Biparametric MRI-based radiomics classifiers for the detection of prostate cancer in patients with PSA serum levels of 4∼10 ng/mL

Biparametric MRI-based radiomics classifiers for the detection of prostate cancer in patients with PSA serum levels of 4∼10 ng/mL

PurposeTo investigate the predictive performance of the combined model by integrating clinical variables and radiomic features for the accurate detection of prostate cancer (PCa) in patients with prostate-specific antigen (PSA) serum levels of 4-10 ng/mL.MethodsA retrospective study of 136 males (me...

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Bibliographic Details
Main Authors: Yangbai Lu, Binfei Li, Hongxing Huang, Qu Leng, Qiang Wang, Rui Zhong, Yaqiang Huang, Canyong Li, Runqiang Yuan, Yongxin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Oncology
Subjects:
magnetic resonance imaging
prostate cancer
PI-RADS
radiomics
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.1020317/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2022.1020317/full

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