ArticleRadiology2022
Direct Comparison of Quantitative US versus Controlled Attenuation Parameter for Liver Fat Assessment Using MRI Proton Density Fat Fraction as the Reference Standard in Patients Suspected of Having NAFLD.
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Article in Radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 38 citations in OpenAlex.
- Exposure-response modeling of liver fat imaging endpoints in non-alcoholic fatty liver disease populations administered ervogastat alone and co-administered with clesacostat.CPT: pharmacometrics & systems pharmacology · 2025Trial
- Quantitative ultrasound-derived fat fraction for hepatic steatosis in MASLD using liver biopsy as the reference standard: a dual-center study.European radiology · 2026Article
- Ultrasound-based fat fraction for detection of hepatic steatosis and quantification of liver fat content using liver biopsy as the reference standard.European radiology · 2026Article
- 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
- Diagnostic performance of controlled attenuation parameter for grading hepatic steatosis in MASLD: an MRI-PDFF-referenced study in a Chinese cohort.Frontiers in medicine · 2026Article
- Correlation analysis and diagnostic performance of CT/MRI fat quantification parameters in metabolic dysfunction-associated steatotic liver disease.Frontiers in medicine · 2026Article
- Prospective multicenter study on the reproducibility of ultrasound-derived fat fraction in assessing hepatic steatosis.Insights into imaging · 2025Article
- Article
- Machine learning-based identification of biochemical markers to predict hepatic steatosis in patients at high metabolic risk.World journal of gastroenterology · 2025Article
- Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans.Nature biomedical engineering · 2025Article
- Accuracy of Controlled Attenuation Parameter for Liver Steatosis in High-Risk Patients for MASLD Using MRI-Proton Density Fat Fraction as Reference Standard.Digestive diseases and sciences · 2025Article
- Methods and Validation of Velacur Determined Fat Fraction in patients with MASLD.WFUMB ultrasound open · 2024Article
- Guideline for the Prevention and Treatment of Metabolic Dysfunction-associated Fatty Liver Disease (Version 2024).Journal of clinical and translational hepatology · 2024Article
- Impact of hepatic steatosis on liver stiffness measurement by vibration-controlled transient elastography and its diagnostic performance for identifying liver fibrosis in patients with chronic hepatitis B.Insights into imaging · 2024Article
- Quantitative US fat fraction for noninvasive assessment of hepatic steatosis in suspected metabolic-associated fatty liver disease.Insights into imaging · 2024Article
- [Guidelines for the prevention and treatment of metabolic dysfunction-associated (non-alcoholic) fatty liver disease (Version 2024)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2024Article
- The Calculation and Evaluation of an Ultrasound-Estimated Fat Fraction in Non-Alcoholic Fatty Liver Disease and Metabolic-Associated Fatty Liver Disease.Diagnostics (Basel, Switzerland) · 2023Article
- Steatosis Quantification on Ultrasound Images by a Deep Learning Algorithm on Patients Undergoing Weight Changes.Diagnostics (Basel, Switzerland) · 2023Article
- Development and validation of multivariable quantitative ultrasound for diagnosing hepatic steatosis.Scientific reports · 2023Article
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Authors and funding
12 authors at 2 institutions in 1 country.
Jinho JungFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.ORCID 0000-0002-9786-5507
Aiguo HanFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.ORCID 0000-0001-7606-9221
Egbert MadambaFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.ORCID 0000-0002-4065-3538
Ricki BettencourtFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.
Rohan R LoombaFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.
Andrew S BoehringerFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.ORCID 0000-0001-6036-1324
Michael P AndreFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.
John W ErdmanFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.ORCID 0000-0001-7924-6596
William D O'BrienFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.ORCID 0000-0002-9298-7556
Kathryn J FowlerFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.ORCID 0000-0001-9188-1701
Claude B SirlinFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.ORCID 0000-0002-6639-9072
Rohit LoombaFrom the NAFLD Research Center, Department of Medicine (J.J., E.M., R.B., R.R.L., R.L.), Liver Imaging Group, Department of Radiology (A.S.B., K.J.F., C.B.S.), Department of Radiology (M.P.A.), and Division of Epidemiology, Department of Family and Preventive Medicine (R.L.), University of California at San Diego, ACTRI Building, 1W202, 9452 Medical Center Dr, La Jolla, CA 92037; Bioacoustics Research Laboratory, Department of Electrical and Computer Engineering (A.H., W.D.O.), and Department of Food Science and Human Nutrition (J.W.E.), University of Illinois at Urbana-Champaign, Urbana, Ill.ORCID 0000-0002-4845-9991
University of California San Diego · USUniversity of Illinois Urbana-Champaign · US
Funding
QUS Technology for Diagnosis and Grading of Hepatic Steatosis in NAFLDR01DK106419 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LOOMBA, ROHIT, SIRLIN, CLAUDE B · 2015 to 2019
$3.4MNIDDK NIH HHS R01 DK106419
Abstract
Background MRI-derived proton density fat fraction (PDFF) is an accurate, reliable, and safe biologic marker for use in the noninvasive diagnosis of hepatic steatosis in patients with nonalcoholic fatty liver disease (NAFLD). Because of the cost and limited availability of MRI, it is necessary to develop an accurate method to diagnose NAFLD with potential point-of-care access. Purpose To compare the diagnostic accuracy of the quantitative US (QUS) fat fraction (FF) estimator with that of the controlled attenuation parameter (CAP) in the diagnosis of NAFLD using contemporaneous MRI-derived PDFF as the reference standard. Materials and Methods Participants with or suspected of having NAFLD were prospectively recruited at the NAFLD Research Center between July 2015 and July 2019. All participants underwent MRI-derived PDFF measurement, transient elastography with CAP measurement, and QUS. QUS FF was derived using computed QUS parameters from the acquired radiofrequency US data using a calibrated reference phantom. The area under the receiver operating characteristic curve (AUC) was calculated to assess the accuracy of QUS FF and CAP in the diagnosis of hepatic steatosis (defined as MRI-derived PDFF ≥ 5%). AUCs were compared using the DeLong test. Results A total of 123 participants were included (mean age, 52 years ± 13 [SD]; 67 [54%] women). Of these participants, 100 (81%) had MRI-derived PDFF of 5% or more. QUS FF had a significantly higher AUC for diagnosis of NAFLD than did CAP (0.92 [95% CI: 0.87, 0.98] vs 0.79 [95% CI: 0.67, 0.90],
Indexed as
Elasticity Imaging TechniquesNon-alcoholic Fatty Liver DiseaseFemaleHumansLiverMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesProtonsReference StandardsProtons
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