Optimizing recurrence prediction and risk stratification in prostate cancer using a 2.5D deep learning model: a multicenter MRI-based study

The stacked DLF model demonstrated the capability to predict early postoperative recurrence in patients with PCa and effectively identify high-risk cases, highlighting its potential as a valuable tool for optimizing treatment strategies and postoperative surveillance.

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Publication Details

Journal
International Journal of Surgery
Published
2025-12-19
DOI
https://doi.org/10.1097/js9.0000000000004584
Citations
1
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
1.52
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article

Optimizing recurrence prediction and risk stratification in prostate cancer using a 2.5D deep learning model: a multicenter MRI-based study

Ping Hu, Haibo Qu, Ruohan Feng, Yue Lv et al.
1 citations
International Journal of Surgery
Prostate Cancer Diagnosis and Treatment
1.52
article

Optimizing recurrence prediction and risk stratification in prostate cancer using a 2.5D deep learning model: a multicenter MRI-based study

Ping Hu, Haibo Qu, Ruohan Feng, Yue Lv, Junqiang Yang, Ruishan Liu, Lihua Zhuo, Fei Wang, Shaoqiang Wu, Yuqi Chen, Li Fan, Qiurong Ruan, Lian Yang, Xiaodong Liu, Gang Ning, Pei Wang, Meng Zhou
article en
1 citations

Abstract

The stacked DLF model demonstrated the capability to predict early postoperative recurrence in patients with PCa and effectively identify high-risk cases, highlighting its potential as a valuable tool for optimizing treatment strategies and postoperative surveillance.

International Journal of SurgeryVol. 112(3)
Union Hospital (HK), Sichuan University (CN), Southwest Medical University (CN), West China Second University Hospital of Sichuan University (CN), Mianyang Third People's Hospital (CN), Thermo Fisher Scientific (Japan) (JP), Ningxia Medical University (CN), Panzhihua Central Hospital (CN), Ningxia Medical University General Hospital (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 12%
Prostate Cancer Diagnosis and Treatment
1.52
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