Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models

Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models

ObjectiveProstate cancer is prevalent among older men. Although this malignancy has a relatively low mortality rate, its aggressiveness is critical in determining patient prognosis and treatment options. This study therefore aimed to evaluate the effectiveness of a 2.5D deep learning model based on...

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Bibliographic Details
Main Authors: Yalei Wang, Yuqing Xin, Baoqi Zhang, Fuqiang Pan, Xu Li, Manman Zhang, Yushan Yuan, Lei Zhang, Peiqi Ma, Bo Guan, Yang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Oncology
Subjects:
prostate cancer
aggressiveness
MRI
radiomics
deep learning
nomogram
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1539537/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1539537/full

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