A nomogram based on a combination of preoperative multimodal imaging and serological signatures for predicting microvascular invasion of hepatocellular carcinoma: an independent external validation study
A reliable combined model based on multimodal imaging and serological signatures effectively predicts preoperative MVI in patients with HCC and may assist clinicians in determining the optimal intervention and achieving greater precision and individualization of treatment.
Authors
- Baojie Wen (ORCID: https://orcid.org/0000-0001-5692-7057)
- Wentao Kong (ORCID: https://orcid.org/0000-0002-4313-6958)
- Yadan Xu
- Jie Wu (ORCID: https://orcid.org/0000-0002-3483-7736)
- Han Liu (ORCID: https://orcid.org/0009-0003-6197-5581)
- Wenping Wang (ORCID: https://orcid.org/0009-0004-5208-6843)
Institutions
- Fudan University (CN)
- Nanjing Drum Tower Hospital (CN)
- Zhongshan Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-10-29
- DOI
- https://doi.org/10.21037/qims-2025-231
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00