Multiparametric MRI deep learning model based on dynamic Contrast-enhanced and apparent diffusion coefficient map enables accurate prediction of benign and malignant breast lesions
The DCE-ADC combined DL model shows promising diagnostic performance and has good potential to assist junior radiologists in improving diagnostic efficacy, which can facilitate clinical decision-making. Further studies will validate these findings in prospective, larger cohorts, multicenter, multiscanner and multinational studies.
Authors
- Churan Wang
- Ran Luo (ORCID: https://orcid.org/0009-0006-0960-7118)
- Fandong Zhang (ORCID: https://orcid.org/0000-0003-0655-1180)
- Qiufeng Yin
- Chen Luo (ORCID: https://orcid.org/0000-0002-6105-4657)
- Zhongyang Zhang (ORCID: https://orcid.org/0000-0002-9035-2880)
- Zhengwei Zhang (ORCID: https://orcid.org/0000-0002-8505-2349)
- Yuzhen Zhang (ORCID: https://orcid.org/0000-0003-2763-9798)
- Yanhong Chen (ORCID: https://orcid.org/0000-0001-5329-977X)
- Lijun Yan (ORCID: https://orcid.org/0009-0004-6509-835X)
- Dengbin Wang (ORCID: https://orcid.org/0000-0001-9529-4870)
- Lijun Wang (ORCID: https://orcid.org/0000-0003-3990-6902)
- Huanhuan Liu (ORCID: https://orcid.org/0000-0003-0291-1097)
- Ruobing Wang
Institutions
- Shanghai Jiao Tong University (CN)
- Peking University (CN)
- XinHua Hospital (CN)
- Beijing Enterprises (China) (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2025-12-05
- DOI
- https://doi.org/10.1186/s40644-025-00970-1
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00