Multiparametric MRI based deep learning model for prediction of early recurrence of hepatocellular carcinoma after SR following TACE
The DL-based nomogram is essential to identify patients with uHCC suitable for treatment with SR following TACE and may potentially benefit personalized decision-making.
Authors
- Chao An (ORCID: https://orcid.org/0000-0003-4029-2709)
- Wendao Liu (ORCID: https://orcid.org/0000-0002-5124-9338)
- Hongyu Wang (ORCID: https://orcid.org/0000-0001-7334-9439)
- Jinwei Li (ORCID: https://orcid.org/0000-0002-0333-5573)
- He Ren (ORCID: https://orcid.org/0000-0002-9266-3834)
- Yushu Ouyang
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Sun Yat-sen University (CN)
- Chinese PLA General Hospital (CN)
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- Sun Yat-sen University Cancer Center (CN)
- State Key Laboratory of Oncology in South China
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Journal of Cancer Research and Clinical Oncology
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1007/s00432-024-05941-w
- Citations
- 3
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.11