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World J Hepatol. May 27, 2025; 17(5): 105446
Published online May 27, 2025. doi: 10.4254/wjh.v17.i5.105446
Progress in the application of fludeoxyglucose positron emission tomography computed tomography in biliary tract cancer
Jia-Xin Yin, Xin Fan, Qiao-Liang Chen, Jing Chen, Jian He
Jia-Xin Yin, Xin Fan, Qiao-Liang Chen, Jing Chen, Jian He, Department of Nuclear Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, Jiangsu Province, China
Author contributions: Yin JX reviewed the literature and drafted the manuscript; Yin JX and He J conceived the idea for the manuscript; Fan X, Chen QL and Chen J provided comprehensive perspectives; He J revised and finalized the manuscript; all authors have read and approved the final version of the manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Jian He, MD, PhD, Associate Professor, Department of Nuclear Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, No. 321 Zhongshan Road, Nanjing 210008, Jiangsu Province, China. hjxueren@126.com
Received: January 23, 2025
Revised: April 10, 2025
Accepted: May 7, 2025
Published online: May 27, 2025
Processing time: 125 Days and 1.4 Hours
Core Tip

Core Tip: Biliary tract cancer constitutes a heterogeneous group of sporadic diseases characterized by high invasiveness and dismal prognosis. The 18F-fludeoxyglucose positron emission tomography (PET) computed tomography simultaneously provides data on glucose metabolism and anatomical structures. This paper examines the research advances in this domain over the past decade. The research approach in this area is transitioning from qualitative to quantitative analyses, and radiomics along with deep learning techniques have been extensively utilized. The utility of PET magnetic resonance imaging in this field is progressively becoming more apparent.