Machine learning models for prediction of NPVR ≥80% with HIFU ablation for uterine fibroids
The machine learning prediction model in this study showed significant potential for accurately predicting the preoperative efficacy of HIFU ablation for UFs. These insights were important for clinicians in the preoperative assessment and selection of patients, which could enhance the precision of treatment planning.
Authors
- Meijie Yang (ORCID: https://orcid.org/0000-0001-5890-7324)
- Xue Zhou (ORCID: https://orcid.org/0000-0002-9365-5887)
- Renqiang Yu
- Ying Chen (ORCID: https://orcid.org/0000-0002-4252-3331)
- Nannan Huang
- Jinyun Chen
Institutions
- Stomatological Hospital of Chongqing Medical University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- International Journal of Hyperthermia
- Published
- 2025-03-23
- DOI
- https://doi.org/10.1080/02656736.2025.2473754
- Citations
- 4
- Primary Topic
- Uterine Myomas and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 8.23
Funders
- Natural Science Foundation of Chongqing