Multimodal ultrasound-based radiomics and deep learning for differential diagnosis of O-RADS 4–5 adnexal masses
Our study confirms the effectiveness of CEUS-based radiomics for distinguishing adnexal masses with high accuracy and specificity using a multimodal US-based radiomics DL nomogram. This approach holds significant promise for improving the diagnostic precision of adnexal masses classified as O-RADS 4-5.
Authors
- Hao‐Ran Jia (ORCID: https://orcid.org/0000-0002-6879-6901)
- Hao Zhang (ORCID: https://orcid.org/0000-0001-8852-6311)
- Xiaoyu Feng (ORCID: https://orcid.org/0000-0002-3203-8682)
- Lin Lin (ORCID: https://orcid.org/0000-0002-7546-4948)
- Meng Dong (ORCID: https://orcid.org/0000-0002-6434-1678)
- Xinlu Wang (ORCID: https://orcid.org/0000-0002-2875-4125)
- Hua Yang (ORCID: https://orcid.org/0000-0003-0420-8362)
- Song Zeng (ORCID: https://orcid.org/0009-0003-0389-3940)
Institutions
- China Medical University (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2025-05-23
- DOI
- https://doi.org/10.1186/s40644-025-00883-z
- Citations
- 1
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.70
Funders
- National Natural Science Foundation of China
- China Medical University
- Shengjing Hospital