Tumor Growth Pattern and Intra- and Peritumoral Radiomics Combined for Prediction of Initial TACE Outcome in Patients with Primary Hepatocellular Carcinoma
Combining tumor growth patterns, intra- and peri-tumoral radiomics features, and ALBI score could be a robust tool for non-invasive and personalized prediction of treatment response to TACE in patients with HCC.
Authors
- Minhui Zhou (ORCID: https://orcid.org/0000-0001-5557-9441)
- Zhichao Sun (ORCID: https://orcid.org/0000-0002-0147-3964)
- Yahan Tong (ORCID: https://orcid.org/0000-0001-8932-7576)
- Jiaying Li (ORCID: https://orcid.org/0000-0001-7508-1579)
- Haibo Chen (ORCID: https://orcid.org/0000-0002-3143-0957)
- Guodong Zhang (ORCID: https://orcid.org/0009-0003-4230-0255)
- Ruisi Su
- Yinghui Tao
Institutions
- Zhejiang Chinese Medical University (CN)
- Zhejiang Cancer Hospital (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2024-10-01
- DOI
- https://doi.org/10.2147/jhc.s480554
- Citations
- 7
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.83