Liver fibrosis assessment: MR and US elastography
Open accessAbstract
Elastography has emerged as a preferred non-invasive imaging technique for the clinical assessment of liver fibrosis. Elastography methods provide liver stiffness measurement (LSM) as a surrogate quantitative biomarker for fibrosis burden in chronic liver disease (CLD). Elastography can be performed either with ultrasound or MRI. Currently available ultrasound-based methods include strain elastography, two-dimensional shear wave elastography (2D-SWE), point shear wave elastography (pSWE), and vibration-controlled transient elastography (VCTE). MR Elastography (MRE) is widely available as two-dimensional gradient echo MRE (2D-GRE-MRE) technique. US-based methods provide estimated Young's modulus (eYM) and MRE provides magnitude of the complex shear modulus. MRE and ultrasound methods have proven to be accurate methods for detection of advanced liver fibrosis and cirrhosis. Other clinical applications of elastography include liver decompensation prediction, and differentiation of non-alcoholic steatohepatitis (NASH) from simple steatosis (SS). In this review, we briefly describe the different elastography methods, discuss current clinical applications, and provide an overview of advances in the field of liver elastography.
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Fibrosis leads to modified mechanical properties of the liver, which can be assessed using imaging techniques such as ultrasound- and MR-based elastography.
“Fibrosis leads to modi fi ed mechanical properties of the liver, which can be assessed using imaging techniques, such as ultrasound- and MR-based elastography.”
From EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). (2024) · cites this paper as [150]
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Tacke, F., Horn, P., Wai-Sun Wong, V., Ratziu, V., Bugianesi, E., Francque, S., Zelber-Sagi, S., Valenti, L., Roden, M., Schick, F., et al. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2024.04.031 · Cited by 2,210 · see citing works
- Authors
- Ozturk, A., Olson, M. C., Samir, A. E., & Venkatesh, S. K.
- Affiliations
- Massachusetts General Hospital (US)
- Mayo Clinic (US)
- Corresponding author
- Venkatesh, Sudhakar K.
- Venue
- Abdominal Radiology
- Published
- 2021-10-23
- Volume
- 47
- Issue
- 9
- Pages
- 3037-3050
- ISSN
- 2366-004X (ISSN-L)
- 2366-0058
- PMC
- PMC9033887
- OpenAlex
- W3205123223
- Cited by
- 168
- References
- 94
- Citations by year
- 2026: 33 · 2025: 55 · 2024: 52 · 2023: 20 · 2022: 5 · 2021: 3
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Abdominal Radiology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (R01 DK119860)
- National Institutes of Health (EB001981)
- U.S. Department of Defense (W81XWH-19-1-0583-01)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
- Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- liver fibrosis, elastography, liver stiffness measurement, strain elastography, shear wave elastography, point shear wave elastography, vibration-controlled transient elastography, complex shear modulus, Young's modulus, chronic liver disease, liver cirrhosis, nonalcoholic steatohepatitis, simple steatosis, noninvasive fibrosis assessment
- MeSH terms
- Humans, Liver, Liver Cirrhosis, Magnetic Resonance Imaging, Elasticity Imaging Techniques, Non-alcoholic Fatty Liver Disease
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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