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Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. May 7, 2023; 29(17): 2534-2550
Published online May 7, 2023. doi: 10.3748/wjg.v29.i17.2534
Non-invasive evaluation of liver steatosis with imaging modalities: New techniques and applications
Ke-Yu Zeng, Wu-Yong-Ga Bao, Yun-Han Wang, Min Liao, Jie Yang, Jia-Yan Huang, Qiang Lu
Ke-Yu Zeng, Wu-Yong-Ga Bao, Yun-Han Wang, Min Liao, Jie Yang, Jia-Yan Huang, Qiang Lu, Department of Medical Ultrasound, West China Hospital of Sichuan University, Chengdu 610041, Sichuan Province, China
Author contributions: Lu Q conceived and designed the protocol; Zeng KY performed the literature search; Bao WYG and Wang YH selected the studies and extracted relevant information; Liao M, Yang J and Huang JY prepared the figures and tables; Zeng KY wrote the first version of draft; Lu Q critically revised successive drafts of the paper and approved the final version.
Conflict-of-interest statement: The authors have no financial relationships to disclose.
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: Qiang Lu, MD, Professor, Department of Medical Ultrasound, West China Hospital of Sichuan University, No. 37 Guoxue Xiang, Chengdu 610041, Sichuan Province, China. luqiang@scu.edu.cn
Received: December 23, 2022
Peer-review started: December 23, 2022
First decision: February 16, 2023
Revised: February 26, 2023
Accepted: April 11, 2023
Article in press: April 11, 2023
Published online: May 7, 2023
Processing time: 121 Days and 14.7 Hours
Abstract

In the world, nonalcoholic fatty liver disease (NAFLD) accounts for majority of diffuse hepatic diseases. Notably, substantial liver fat accumulation can trigger and accelerate hepatic fibrosis, thus contributing to disease progression. Moreover, the presence of NAFLD not only puts adverse influences for liver but is also associated with an increased risk of type 2 diabetes and cardiovascular diseases. Therefore, early detection and quantified measurement of hepatic fat content are of great importance. Liver biopsy is currently the most accurate method for the evaluation of hepatic steatosis. However, liver biopsy has several limitations, namely, its invasiveness, sampling error, high cost and moderate intraobserver and interobserver reproducibility. Recently, various quantitative imaging techniques have been developed for the diagnosis and quantified measurement of hepatic fat content, including ultrasound- or magnetic resonance-based methods. These quantitative imaging techniques can provide objective continuous metrics associated with liver fat content and be recorded for comparison when patients receive check-ups to evaluate changes in liver fat content, which is useful for longitudinal follow-up. In this review, we introduce several imaging techniques and describe their diagnostic performance for the diagnosis and quantified measurement of hepatic fat content.

Keywords: Non-alcoholic fatty liver disease; Hepatic steatosis; Imaging techniques; Quantitative evaluation; Ultrasound; Quantitative ultrasound

Core Tip: Accurate evaluation of the hepatic steatosis is important. The conventional gray scale ultrasound has the limitation of low diagnostic accuracy for mild hepatic steatosis and inability to make quantification evaluations. Quantification imaging techniques including ultrasound-based techniques and magnetic resonance imaging-based techniques can provide objective continuous numbers associated with liver fat content and past records can be found when patients receiving check-ups to evaluate change of liver fat content, which is useful for the longitudinal follow-up to monitor the impact of clinical interventions.