ReviewRadiology2022
Pulse-Echo Quantitative US Biomarkers for Liver Steatosis: Toward Technical Standardization.
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In one paragraph
Review in Radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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24citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
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Who cites it
24 citing papers in PubMed, 38 citations in OpenAlex.
- Quantitative liver ultrasound: current status and challenges.Ultrasonography (Seoul, Korea) · 2026Article
- Attenuation imaging and hepatorenal index composite score for the noninvasive assessment of hepatic steatosis in chronic liver disease: a prospective multicenter study.Journal of medical ultrasonics (2001) · 2026Article
- Non-invasive imaging diagnostic techniques in metabolic dysfunction-associated steatotic liver disease: a roadmap for clinicians.Hormones (Athens, Greece) · 2026Review
- Comparative diagnostic performance of ultrasound-guided attenuation parameter versus B-mode scoring for hepatic steatosis assessment: an ordinal-scale statistical approach.Journal of gastroenterology · 2026Article
- Response to "Considerations in Imaging-Based Assessment of Steatotic Liver Disease to Enhance Harmonization, Longitudinal Interpretation, and Clinical Implementation".Korean journal of radiology · 2026Article
- Ultrasonic radio frequency signals-based hepatorenal index improved the diagnostic performance in steatotic liver disease.Abdominal radiology (New York) · 2026Article
- Ultrasound Attenuation Coefficient as a Biomarker of Hepatic Steatosis: State of the Art and Software Evaluation.Journal of clinical medicine · 2026Review
- Clinical Validation of a Deep Learning-Based 2D Ultrasound Steatosis Algorithm: Cutoff Transferability, Scanner Generalizability, and Comparison with FibroScan.Diagnostics (Basel, Switzerland) · 2026Article
- Diagnostic performance of ultrasound-derived fat fraction for assessing steatotic liver disease with histopathology as the reference.Ultrasonography (Seoul, Korea) · 2026Article
- Quantitative ultrasound-derived fat fraction for identifying pediatric patients with metabolic dysfunction-associated steatotic liver disease: a prospective study.Pediatric radiology · 2025Article
- Preliminary study on determining the optimal position of region of interest for evaluating hepatic steatosis using ultrasound Attenuation imaging.Abdominal radiology (New York) · 2025Article
- Lipid Microparticle-Based Phantoms Modeling Hepatic Steatosis for the Validation of Quantitative Imaging Techniques.Small methods · 2025Article
- A prospective comparison of two ultrasound attenuation imaging modes using different frequencies for assessing hepatic steatosis.Ultrasonography (Seoul, Korea) · 2025Article
- Article
- Ultrasound evaluation of chronic liver disease.Abdominal radiology (New York) · 2025Review
- Diagnostic accuracy of ultrasound-derived fat fraction for the detection and quantification of hepatic steatosis in patients with liver biopsy.Journal of medical ultrasonics (2001) · 2025Article
- Methods and Validation of Velacur Determined Fat Fraction in patients with MASLD.WFUMB ultrasound open · 2024Article
- US Attenuation Coefficient for Liver Fat Quantification: A Need for Standardization.Radiology · 2024Article
- Head-to-head comparison of three different US-based quantitative parameters for hepatic steatosis assessment: a prospective study.Abdominal radiology (New York) · 2024Article
- Inter-platform reproducibility of ultrasound-based fat fraction for evaluating hepatic steatosis in nonalcoholic fatty liver disease.Insights into imaging · 2024Article
Corrections and comments
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Authors and funding
11 authors at 1 institution in 2 countries.
David T Fetzer *From the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0002-2420-082X
Ivan M Rosado-Mendez *From the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0003-0778-1260
Michael WangFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0002-5784-8550
Michelle L RobbinFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0003-4456-5081
Arinc OzturkFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0002-5335-3737
Keith A WearFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0003-0318-4821
Juvenal OrmacheaFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0003-2481-8133
Timothy A StilesFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0002-2113-1697
J Brian FowlkesFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0002-4536-3919
Timothy J HallFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0001-9850-6031
Anthony E SamirFrom the Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.T.F.); Departments of Medical Physics (I.M.R.M., T.J.H.) and Radiology (I.M.R.M.), University of Wisconsin, Institutes for Medical Research, 1111 Highland Ave, Room 1005, Madison, WI 53705; General Electric Healthcare, Milwaukee, Wis (M.W.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (A.O.); U.S. Food and Drug Administration, Silver Spring, Md (K.A.W.); Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY (J.O.); Department of Natural Sciences, Kettering University, Flint, Mich (T.A.S.); Departments of Biomedical Engineering and Radiology, University of Michigan, Ann Arbor, Mich (J.B.F.); RSNA Quantitative Imaging Biomarkers Alliance (T.J.H.); and Center for Ultrasound Research & Translation, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (A.E.S.).ORCID 0000-0002-7801-8724
University of Wisconsin System · US
Funding
Development of a Machine Learning Model to Integrate Clinical, Laboratory, Sonographic, and Elastographic Data for Noninvasive Liver Tissue Characterization in NAFLDR01DK119860 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SAMIR, ANTHONY EDWARD · 2019 to 2023
$2.3MNIDDK NIH HHS R01 DK119860
Abstract
Excessive liver fat (steatosis) is now the most common cause of chronic liver disease worldwide and is an independent risk factor for cirrhosis and associated complications. Accurate and clinically useful diagnosis, risk stratification, prognostication, and therapy monitoring require accurate and reliable biomarker measurement at acceptable cost. This article describes a joint effort by the American Institute of Ultrasound in Medicine (AIUM) and the RSNA Quantitative Imaging Biomarkers Alliance (QIBA) to develop standards for clinical and technical validation of quantitative biomarkers for liver steatosis. The AIUM Liver Fat Quantification Task Force provides clinical guidance, while the RSNA QIBA Pulse-Echo Quantitative Ultrasound Biomarker Committee develops methods to measure biomarkers and reduce biomarker variability. In this article, the authors present the clinical need for quantitative imaging biomarkers of liver steatosis, review the current state of various imaging modalities, and describe the technical state of the art for three key liver steatosis pulse-echo quantitative US biomarkers: attenuation coefficient, backscatter coefficient, and speed of sound. Lastly, a perspective on current challenges and recommendations for clinical translation for each biomarker is offered.
Indexed as
Fatty LiverNon-alcoholic Fatty Liver DiseaseBiomarkersHumansLiverMagnetic Resonance ImagingReference StandardsUltrasonographyBiomarkers
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