Development and Validation of a Biparametric MRI Deep Learning Radiomics Model with Clinical Characteristics for Predicting Perineural Invasion in Patients with Prostate Cancer

Author:

Zhang Yue-yue,Mao Hui-min,Wei Chao-gang,Chen Tong,Zhao Wen-lu,Chen Liang-yan,Shen Jun-kang,Guo Wan-liangORCID

Publisher

Elsevier BV

Reference41 articles.

1. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA A Cancer J Clinicians,2021

2. The Lancet Commission on prostate cancer: planning for the surge in cases;James;Lancet,2024

3. Perineural invasion and MIB-1 positivity in addition to gleason score are significant preoperative predictors of progression after radical retropubic prostatectomy for prostate cancer;Sebo;Am J Surg Pathol,2002

4. Prostate cancer Ki-67 (MIB-1) expression, perineural invasion, and gleason score as biopsy-based predictors of prostate cancer mortality: the Mayo model;Tollefson;Mayo Clin Proc,2014

5. Perineural invasion in cancer: a review of the literature;Liebig;Cancer,2009

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