Imaging-based non-invasive liver disease assessment for staging liver fibrosis in chronic liver disease: A systematic review supporting the AASLD Practice Guideline

医学 瞬态弹性成像 指南 磁共振弹性成像 慢性肝病 肝纤维化 肝病 人口 磁共振成像 弹性成像 内科学 系统回顾 病理 放射科 胃肠病学 梅德林 肝硬化 超声波 环境卫生 政治学 法学
作者
Andrés Duarte‐Rojo,Bachir Taouli,Daniel H. Leung,Deborah Levine,Tarek Nayfeh,Bashar Hasan,Yahya Alsawaf,Samer Saadi,Abdul M. Majzoub,Apostolos Manolopoulos,Samir Hafar,Ayca Dundar,M. Hassan Murad,Don C. Rockey,Mouaz Alsawas,Richard K. Sterling
出处
期刊:Hepatology [Wiley]
被引量:3
标识
DOI:10.1097/hep.0000000000000852
摘要

Background and Aims: Transient elastography (TE), shear-wave elastography (SWE), and/or magnetic resonance elastography (MRE), each providing liver stiffness measurement (LSM), are the most studied imaging-based noninvasive liver disease assessment (NILDA) techniques. To support the American Association for the Study of Liver Diseases guidelines on NILDA, we summarized the evidence on the accuracy of these LSM methods to stage liver fibrosis (F). Approach and Results: A comprehensive search for studies assessing LSM by TE, SWE, or MRE for the identification of significant fibrosis (F2-4), advanced fibrosis (F3-4), or cirrhosis (F4), utilizing histopathology as standard of reference by liver disease etiology in adults or children from inception to April 2022 was performed. We excluded studies with <50 patients with a single disease entity and mixed liver disease etiologies (with the exception of HCV/HIV co-infection). Out of 9447 studies, 240 with 61,193 patients were included in this systematic review. In adults, sensitivities for the identification of F2-4 ranged from 51% to 95%, for F3-4 from 70% to 100%, and for F4 from 60% to 100% across all techniques/diseases, whereas specificities ranged from 36% to 100%, 74% to 100%, and 67% to 99%, respectively. The largest body of evidence available was for TE; MRE appeared to be the most accurate method. Imaging-based NILDA outperformed blood-based NILDA in most comparisons, particularly for the identification of F3-4/F4. In the pediatric population, imaging-based NILDA is likely as accurate as in adults. Conclusion: LSM from TE, SWE, and MRE show acceptable to outstanding accuracy for the detection of liver fibrosis across various liver disease etiologies. Accuracy increased from F2-4 to F3-4 and was the highest for F4. Further research is needed to better standardize the use of imaging-based NILDA, particularly in pediatric liver diseases.
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