AI-driven diffusion weighted imaging-based non-contrast protocol for breast cancer diagnosis: a multicentre, multidimensional validation study
This work was supported by the National Natural Science Foundation of China (82471964) and Peking University People's Hospital Scientific Research Development Funds (RDGS2022-10).
Authors
- Meinan Yan (ORCID: https://orcid.org/0000-0002-7237-6029)
- Yulu Liu (ORCID: https://orcid.org/0000-0002-9763-3976)
- Xiaoxuan Jia (ORCID: https://orcid.org/0000-0001-6771-3353)
- Nan Hong (ORCID: https://orcid.org/0000-0003-1453-273X)
- Fan Chai
- Chenxin Pang
- Shu Wang (ORCID: https://orcid.org/0000-0002-8651-4795)
- Sen Zhang (ORCID: https://orcid.org/0000-0001-9839-5722)
- Lianzhou Wang (ORCID: https://orcid.org/0000-0002-5947-306X)
- Yi Wang (ORCID: https://orcid.org/0000-0002-7000-693X)
- Xiufeng Chen (ORCID: https://orcid.org/0000-0003-1798-3851)
- Peng Yuan (ORCID: https://orcid.org/0000-0002-5041-5613)
- Jiaqi Zhao (ORCID: https://orcid.org/0000-0002-2950-6799)
- Kaining Shi
- Jin Gao
- Caizhen Feng
- Wenhui Ren
- Haoquan Chen
- Zu-Lu Gao
Institutions
- Southwest University of Science and Technology (CN)
- Peking University (CN)
- Third People's Hospital of Chengdu (CN)
- First Hospital of Shijiazhuang (CN)
- Peking University People's Hospital (CN)
- Beijing Aerospace General Hospital (CN)
- Neusoft (China) (CN)
- Jiangmen Central Hospital (CN)
- Chengdu Neusoft University
Publication Details
- Journal
- EClinicalMedicine
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1016/j.eclinm.2025.103694
- Citations
- 1
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 1.36