Interpretable machine learning models based on multi-dimensional fusion data for predicting positive surgical margins in robot-assisted radical prostatectomy: a retrospective study
Multi-dimensional fusion data combined with ML models improves PSM prediction accuracy in RARP. The RF model, with excellent performance and interpretability, shows promise for preoperative PSM risk stratification, facilitates optimized clinical decision-making, and supports personalized treatment discussions during preoperative planning, but requires prospective and external validation before clinical implementation.
Authors
- He Jiang (ORCID: https://orcid.org/0000-0001-8674-4948)
- Linhai Liu (ORCID: https://orcid.org/0000-0003-3227-9192)
- Jindong Zhang (ORCID: https://orcid.org/0000-0001-7914-7467)
- Zhangcheng Liu (ORCID: https://orcid.org/0000-0001-5208-5083)
- Wenjun Zhou (ORCID: https://orcid.org/0000-0003-2346-8151)
- Shuai Su (ORCID: https://orcid.org/0000-0002-1648-0817)
- Pan Dong (ORCID: https://orcid.org/0000-0002-2890-260X)
- Serap Sankoh
- Shilin Qiu (ORCID: https://orcid.org/0000-0002-8681-6187)
- Delin Wang (ORCID: https://orcid.org/0000-0003-0689-3199)
- Yu Luo (ORCID: https://orcid.org/0000-0002-0711-2385)
- Kun Han (ORCID: https://orcid.org/0000-0001-9272-5567)
- Li Luo (ORCID: https://orcid.org/0000-0001-7855-4669)
- Y. Wang (ORCID: https://orcid.org/0000-0003-2129-9497)
- Jingyan Liu (ORCID: https://orcid.org/0000-0002-8683-1504)
- Ling Jiang (ORCID: https://orcid.org/0000-0002-6589-1399)
Institutions
- Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine (CN)
- Neijiang Normal University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-03
- DOI
- https://doi.org/10.3389/fonc.2025.1661695
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Centre Scientifique et Technique du Bâtiment