Predicting pathogenic DNA damage repair gene mutations in prostate cancer patients: a multi-center magnetic resonance imaging radiomics study
Our MRI radiomics-based predictive model is a promising pre-testing tool for pDDRg mutation prediction in patients with PCa. Prospective studies need to be conducted to further validate the power of this predictive model before its clinical application.
Authors
- Pengfei Shen (ORCID: https://orcid.org/0000-0002-0370-0411)
- Hao Zeng (ORCID: https://orcid.org/0000-0002-1831-3019)
- Bangwei Fang (ORCID: https://orcid.org/0000-0002-3279-2140)
- Sha Zhu (ORCID: https://orcid.org/0000-0003-3178-1981)
- Yao Zhu (ORCID: https://orcid.org/0000-0002-5121-0820)
- Y. Tang
- Qiang Wei (ORCID: https://orcid.org/0000-0002-3380-4932)
- Diwei Zhao (ORCID: https://orcid.org/0000-0003-0955-9591)
- Bin Song (ORCID: https://orcid.org/0000-0002-7269-2101)
- Nanwei Xu
- Lei Ye (ORCID: https://orcid.org/0000-0001-8889-1490)
- Zhenhua Liu (ORCID: https://orcid.org/0000-0003-1926-6020)
- Yonghong Li (ORCID: https://orcid.org/0000-0002-1795-7242)
- Xiang Tu
- Ling Yang (ORCID: https://orcid.org/0000-0002-9222-9237)
- Jindong Dai
- Fengnian Zhao (ORCID: https://orcid.org/0000-0003-4961-9077)
- Zhipeng Wang (ORCID: https://orcid.org/0009-0004-4444-089X)
- Guangxi Sun
- Dingwei Ye (ORCID: https://orcid.org/0000-0002-0916-4218)
- Jinge Zhao
- Haolin Liu
- Fangjian Zhou
- Jin Yao (ORCID: https://orcid.org/0009-0003-5414-6427)
- Yuntian Chen (ORCID: https://orcid.org/0000-0001-8248-312X)
Institutions
- Sun Yat-sen University (CN)
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Fudan University Shanghai Cancer Center (CN)
- Sun Yat-sen University Cancer Center (CN)
- State Key Laboratory of Oncology in South China
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-07-01
- DOI
- https://doi.org/10.21037/qims-2024-2708
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36