Imaging of Hepatic Fibrosis

Current Gastroenterology Reports
Rishi Philip Mathew, Sudhakar Kundapur Venkatesh

Abstract

The purpose of this review is to discuss the current imaging techniques for non-invasive assessment of liver fibrosis (LF). Elastography-based techniques are the most widely used imaging methods for the evaluation of LF. Currently, MR elastography (MRE) is the most accurate non-invasive method for detection and staging of LF. Ultrasound-based vibration-controlled transient elastography (VCTE) is the most widely used as it can be easily performed at the point of care but has technical limitations especially in the obese. Innovations and technical improvements continue to evolve in elastography for improving accuracy and avoiding misinterpretation from confounding factors. Other imaging methods including diffusion-weighted imaging (DWI), hepatocellular contrast-enhanced (HCE) MRI, T1 relaxometry, T1ρ imaging, textural analysis, liver surface nodularity, susceptibility-weighted imaging, and perfusion imaging are promising but need further evaluation and clinical validation. MRE is the most accurate imaging technique for assessment of LF.

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Citations

Apr 12, 2019·AJR. American Journal of Roentgenology·Andrew Dennis SmithMark E Lockhart
Jun 20, 2020·Journal of Clinical Gastroenterology·Maryam GhadimiIhab R Kamel
Apr 17, 2020·Current Oncology Reports·Arya Haj-MirzaianAtif Zaheer
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Jun 2, 2021·Liver International : Official Journal of the International Association for the Study of the Liver·Karen Vagner DanielsenFlemming Bendtsen
Jun 25, 2021·Journal of Hepatology·UNKNOWN European Association for the Study of the Liver. Electronic address: easloffice@easloffice.euUNKNOWN Panel members:
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Jun 17, 2021·Seminars in Ultrasound, CT, and MR·Mayur VirarkarPriya Bhosale
Oct 23, 2021·Physics in Medicine and Biology·Deirdre M McGrathSusan T Francis
Sep 13, 2021·Hepatology : Official Journal of the American Association for the Study of Liver Diseases·Tolga GidenerSudhakar K Venkatesh
Sep 29, 2021·Journal of Computer Assisted Tomography·Carlos Morillo-HernandezAlessandro Furlan

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