Preliminary study on the ability of 18F-fluorodeoxyglucose positron emission tomography/computed tomography radiomics to predict vessels that encapsulate tumor clusters and prognosis in hepatocellular carcinoma
FDG metabolism is significantly associated with VETC status in HCC patients. A comprehensive nomogram model based on PET/CT radiomics and clinical indicators has potential for preoperative prediction of VETC as well as patient prognosis.
Authors
- Siqi Hu (ORCID: https://orcid.org/0000-0001-6879-4132)
- Qiong Zou (ORCID: https://orcid.org/0000-0001-6308-2259)
- Zijie Shen
- Ju Jiao (ORCID: https://orcid.org/0000-0003-1357-2537)
- Hong Zhang (ORCID: https://orcid.org/0000-0002-5562-4959)
- Li Shi (ORCID: https://orcid.org/0000-0001-9120-2510)
- Yong Zhang (ORCID: https://orcid.org/0000-0003-4909-8996)
- Yujie Xie (ORCID: https://orcid.org/0000-0002-2260-9242)
- Mu‐hua Cheng (ORCID: https://orcid.org/0000-0003-0976-4173)
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-07-01
- DOI
- https://doi.org/10.21037/qims-2024-2734
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36