Yin Jia-Xin, Fan Xin, Chen Qiao-Liang, Chen Jing, He Jian
Department of Nuclear Medicine, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210008, Jiangsu Province, China.
World J Hepatol. 2025 May 27;17(5):105446. doi: 10.4254/wjh.v17.i5.105446.
Biliary tract cancer (BTC) is a group of heterogeneous sporadic diseases, including intrahepatic, hilar, and distal cholangiocarcinoma, as well as gallbladder cancer. BTC is characterized by high invasiveness and extremely poor prognosis, with a global increased incidence due to intrahepatic cholangiocarcinoma (ICC). The 18F-fludeoxyglucose positron emission tomography (PET) computed tomography (18F-FDG PET/CT) combines glucose metabolic information (reflecting the glycolytic activity of tumor cells) with anatomical structure to assess tumor metabolic heterogeneity, systemic metastasis, and molecular characteristics noninvasively, overcoming the limitations of traditional imaging in the detection of micrometastases and recurrent lesions. 18F-FDG PET/CT offers critical insights in clinical staging, therapeutic evaluation, and prognostic prediction of BTC. This article reviews research progress in this field over the past decade, with a particular focus on the advances made in the last 3 years, which have not been adequately summarized and recognized. The research paradigm in this field is shifting from qualitative to quantitative studies, and there have been significant breakthroughs in using 18F-FDG PET/CT metabolic information to predict gene expression in ICC. Radiomics and deep learning techniques have been applied to ICC for prognostic prediction and differential diagnosis. Additionally, PET/magnetic resonance imaging is increasingly demonstrating its value in this field.
胆管癌(BTC)是一组异质性散发性疾病,包括肝内、肝门和远端胆管癌以及胆囊癌。BTC具有高侵袭性和极差的预后特征,由于肝内胆管癌(ICC),其全球发病率呈上升趋势。18F-氟脱氧葡萄糖正电子发射断层扫描(PET)计算机断层扫描(18F-FDG PET/CT)将葡萄糖代谢信息(反映肿瘤细胞的糖酵解活性)与解剖结构相结合,以无创方式评估肿瘤代谢异质性、全身转移和分子特征,克服了传统成像在检测微转移和复发病变方面的局限性。18F-FDG PET/CT在BTC的临床分期、治疗评估和预后预测方面提供了关键见解。本文回顾了过去十年该领域的研究进展,特别关注过去三年取得的进展,这些进展尚未得到充分总结和认可。该领域的研究范式正在从定性研究转向定量研究,并且在利用18F-FDG PET/CT代谢信息预测ICC中的基因表达方面取得了重大突破。放射组学和深度学习技术已应用于ICC的预后预测和鉴别诊断。此外,PET/磁共振成像在该领域的价值也日益凸显。