A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study

A novel MRI-based habitat analysis and deep learning for predicting perineural invasion in prostate cancer: a two-center study

Abstract Background To explore the efficacy of a deep learning (DL) model in predicting perineural invasion (PNI) in prostate cancer (PCa) by conducting multiparametric MRI (mpMRI)-based tumor heterogeneity analysis. Methods This retrospective study included 397 patients with PCa from two medical ce...

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Bibliographic Details
Main Authors: Shuitang Deng, Danjiang Huang, Xiaoyu Han, He Zhang, Hui Wang, Guoqun Mao, Weiqun Ao
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Cancer
Subjects:
Prostate cancer
Perineural invasion
Habitat analysis
Deep learning
Magnetic resonance imaging
Online Access:https://doi.org/10.1186/s12885-025-14759-9
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https://doi.org/10.1186/s12885-025-14759-9

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