The diagnostic value of the multiparameter combination diagnostic model based on 2-[18F]FDG PET/CT metabolic parameters and clinical variables in distinguishing non-metastatic cholangiocarcinoma from cholangitis
The 2-[<sup>18</sup>F]FDG PET/CT metabolic parameters and combined diagnostics models can help to distinguish between non-metastatic iCCA and intrahepatic cholangitis, and non-metastatic eCCA and extrahepatic cholangitis, respectively.
Authors
- Jianzhong Cui (ORCID: https://orcid.org/0000-0002-4221-7262)
- Can Li (ORCID: https://orcid.org/0000-0002-8420-120X)
- Jiajin Liu
- Yue Pan (ORCID: https://orcid.org/0000-0003-3928-7873)
- Baixuan Xu (ORCID: https://orcid.org/0000-0002-6550-4758)
- Xiaodan Xu (ORCID: https://orcid.org/0000-0001-8338-1600)
- Yun Han (ORCID: https://orcid.org/0000-0002-6159-934X)
- Yabing Sun (ORCID: https://orcid.org/0000-0002-2269-7553)
- Guanyun Wang (ORCID: https://orcid.org/0000-0003-1880-7163)
- Jingfeng Zhang (ORCID: https://orcid.org/0009-0009-5817-8067)
Institutions
- Capital Medical University (CN)
- Chinese PLA General Hospital (CN)
- People's Liberation Army No. 150 Hospital (CN)
- Hainan 301 Hospital (CN)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-07-01
- DOI
- https://doi.org/10.21037/qims-24-1626
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00