Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate cancer

Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate cancer

Abstract Objective To develop and evaluate a intralesional and perilesional radiomics strategy based on different machine learning model to differentiate International Society of Urological Pathology (ISUP) grade > 2 group and ISUP ≤ 2 prostate cancers (PCa). Methods 340 case of PCa patients conf...

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Bibliographic Details
Main Authors: Zhiping Li, Liqin Yang, Ximing Wang, Huijing Xu, Wen Chen, Shuchao Kang, Yasheng Huang, Chang Shu, Feng Cui, Yongsheng Zhang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Magnetic resonance imaging
Perilesional radiomics
Machine learning
Prostate cancer
International society of urological pathology grading
Online Access:https://doi.org/10.1186/s12880-025-01812-z
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https://doi.org/10.1186/s12880-025-01812-z

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