Application of spectral CT in diagnosis, classification and prognostic monitoring of gastrointestinal cancers: progress, limitations and prospects

Frontiers in Molecular Biosciences

Molecular Biosciences

Lijuan Zhong¹  Xue Lv²  Langzhou Fu²  Daiquan Zhou²  Qiao Liu²  Na Yu²  Yuqin Hong² 

[1] Department of Radiology, The People’s Hospital of Leshan, Leshan, China;Department of Radiology, The Third Affiliated Hospital of Chongqing Medical University (Gener Hospital), Chongqing, China;

关键词: gastrointestinal cancers;    spectral CT;    multi-parameter imaging;    diagnosis;    efficacy evaluation;   

DOI  :  10.3389/fmolb.2023.1284549

 received in 2023-08-28, accepted in 2023-09-26,  发布年份 2023

来源: Frontiers

【 摘 要 】

Gastrointestinal (GI) cancer is the leading cause of cancer-related deaths worldwide. Computed tomography (CT) is an important auxiliary tool for the diagnosis, evaluation, and prognosis prediction of gastrointestinal tumors. Spectral CT is another major CT revolution after spiral CT and multidetector CT. Compared to traditional CT which only provides single-parameter anatomical diagnostic mode imaging, spectral CT can achieve multi-parameter imaging and provide a wealth of image information to optimize disease diagnosis. In recent years, with the rapid development and application of spectral CT, more and more studies on the application of spectral CT in the characterization of GI tumors have been published. For this review, we obtained a substantial volume of literature, focusing on spectral CT imaging of gastrointestinal cancers, including esophageal, stomach, colorectal, liver, and pancreatic cancers. We found that spectral CT can not only accurately stage gastrointestinal tumors before operation but also distinguish benign and malignant GI tumors with improved image quality, and effectively evaluate the therapeutic response and prognosis of the lesions. In addition, this paper also discusses the limitations and prospects of using spectral CT in GI cancer diagnosis and treatment.

【 授权许可】

Unknown   
Copyright © 2023 Hong, Zhong, Lv, Liu, Fu, Zhou and Yu.