Super‐Resolution Ultrasound Radiomics Can Predict the Upstaging of Ductal Carcinoma In Situ
The SR Fusion model integrating SR features and clinical features can effectively predict the upstaging of DCIS.
Authors
- Juan Fu (ORCID: https://orcid.org/0009-0003-5800-3546)
- Yini Huang (ORCID: https://orcid.org/0000-0002-4890-9665)
- Jianhua Zhou (ORCID: https://orcid.org/0000-0003-2096-8126)
- Hui Xie (ORCID: https://orcid.org/0000-0002-3941-4150)
- Qian Li (ORCID: https://orcid.org/0000-0003-1300-3377)
- Ruirui Zhang (ORCID: https://orcid.org/0000-0002-0931-8854)
- Zhiyuan Wang (ORCID: https://orcid.org/0000-0002-7510-087X)
- Liang Xia (ORCID: https://orcid.org/0000-0001-9685-7831)
- Junjun Chen (ORCID: https://orcid.org/0000-0001-8930-6011)
- Xiaoxian Li (ORCID: https://orcid.org/0000-0002-0995-1721)
- Liang Yang
- Xu Liu
- Xuebin Zou (ORCID: https://orcid.org/0000-0002-3484-9673)
Institutions
- Central South University (CN)
- Sun Yat-sen University (CN)
- Hunan Cancer Hospital (CN)
- Dongguan People’s Hospital (CN)
- Henan Cancer Hospital (CN)
- Sun Yat-sen University Cancer Center (CN)
- Xiangnan University (CN)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1002/cam4.71155
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province