Preoperative Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma Using Machine Learning-Based Ultrasomics
ML-based ultrasomics model is an effective tool for predicting MTM-HCC before surgery. Integrating clinical and ultrasound image features enhances predictive performance, offering a novel approach for non-invasive preoperative diagnosis of MTM-HCC.
Authors
- Dujuan Li
- Shaobo Duan (ORCID: https://orcid.org/0000-0003-3150-3666)
- D Bu
- Shanshan Ren (ORCID: https://orcid.org/0009-0002-6901-1501)
- Yujing Ma (ORCID: https://orcid.org/0009-0009-0874-2926)
- Xiaoxiao Li (ORCID: https://orcid.org/0000-0002-8359-3897)
- Yahong Li (ORCID: https://orcid.org/0000-0003-1222-3095)
- Lianzhong Zhang (ORCID: https://orcid.org/0000-0002-3756-6951)
- Yuanyuan Liu (ORCID: https://orcid.org/0000-0003-0131-2519)
- Xiguo Cai
Institutions
- Henan Provincial People's Hospital (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/jhc.s508091
- 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