State-of-the-art imaging of hepatocellular carcinoma

被引:1
作者
Afyouni, Shadi [1 ]
Zandieh, Ghazal [1 ]
Nia, Iman Yazdani [2 ]
Pawlik, Timothy M. [3 ]
Kamel, Ihab R. [4 ]
机构
[1] Johns Hopkins Univ, Russell H Morgan Dept Radiol & Radiol Sci, Johns Hopkins Med, Baltimore, MD USA
[2] Univ Penn, Dept Radiol, Philadelphia, PA USA
[3] Ohio State Univ, Wexner Med Ctr, James Comprehens Canc Ctr, Dept Surg, Columbus, OH USA
[4] Univ Colorado, Sch Med, Dept Radiol, Aurora, CO 80045 USA
关键词
Artificial intelligence; Diagnostic radiology; Hepatocellular carcinoma; Liver; CONTRAST-ENHANCED CT; DIAGNOSTIC PERFORMANCE; HEPATOBILIARY PHASE; CIRRHOTIC LIVER; MRI; DIFFERENTIATION; FEATURES; NODULES; TUMOR; NETWORK;
D O I
10.1016/j.gassur.2024.08.001
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Hepatocellular carcinoma (HCC) is the third most fatal and fifth most common cancer worldwide, with rising incidence due to obesity and nonalcoholic fatty liver disease. Imaging modalities, including ultrasound (US), multidetector computed tomography (MDCT), and magnetic resonance imaging (MRI) play a vital role in detecting HCC characteristics, aiding in early detection, detailed visualization, and accurate differentiation of liver lesions. Liver-specific contrast agents, the Liver Imaging Reporting and Data System, and advanced techniques, including diffusion-weighted imaging and artificial intelligence, further enhance diagnostic accuracy. This review emphasizes the significant role of imaging in managing HCC, from diagnosis to treatment assessment, without the need for invasive biopsies. (c) 2024 Published by Elsevier Inc. on behalf of Society for Surgery of the Alimentary Tract.
引用
收藏
页码:1717 / 1725
页数:9
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