The value of multi-parameter radiomics combined with imaging features in predicting the therapeutic efficacy of HIFU treatment for uterine fibroids
Both the T2WI-FS + CE-T1WI model and the radiomics-clinical model demonstrate higher predictive value and larger net benefit compared to other models.
Authors
- Quan Yang (ORCID: https://orcid.org/0000-0001-8590-6984)
- Li Shen (ORCID: https://orcid.org/0000-0002-5190-2851)
- Y Liu
- Shaoyi Bai (ORCID: https://orcid.org/0000-0003-3081-5908)
- Xiao Hu (ORCID: https://orcid.org/0000-0003-1128-4099)
- Qiang Li (ORCID: https://orcid.org/0000-0002-0608-4167)
- Fang Wang (ORCID: https://orcid.org/0000-0002-5344-6933)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Chongqing Medical University (CN)
- United Imaging Healthcare (China) (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-11-20
- DOI
- https://doi.org/10.3389/fonc.2024.1499387
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81