Literature DB >> 35348378

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.

Jinho Jung1, Aiguo Han1, Egbert Madamba1, Ricki Bettencourt1, Rohan R Loomba1, Andrew S Boehringer1, Michael P Andre1, John W Erdman1, William D O'Brien1, Kathryn J Fowler1, Claude B Sirlin1, Rohit Loomba1.   

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], P = .03). QUS FF had a sensitivity of 98% (98 of 100) and a specificity of 48% (11 of 23). CAP had a sensitivity of 87% (87 of 100) and a specificity of 57% (13 of 23). Conclusion The quantitative US fat fraction estimator is more accurate than the controlled attenuation parameter in the diagnosis of hepatic steatosis in patients with or suspected of having nonalcoholic fatty liver disease. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Ito in this issue.

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Year:  2022        PMID: 35348378      PMCID: PMC9270678          DOI: 10.1148/radiol.211131

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   29.146


  34 in total

1.  CAP for the detection of hepatic steatosis in clinical practice.

Authors:  Giovanna Ferraioli
Journal:  Lancet Gastroenterol Hepatol       Date:  2021-01-15

Review 2.  The diagnosis and management of nonalcoholic fatty liver disease: Practice guidance from the American Association for the Study of Liver Diseases.

Authors:  Naga Chalasani; Zobair Younossi; Joel E Lavine; Michael Charlton; Kenneth Cusi; Mary Rinella; Stephen A Harrison; Elizabeth M Brunt; Arun J Sanyal
Journal:  Hepatology       Date:  2017-09-29       Impact factor: 17.425

3.  Sample size estimation in diagnostic test studies of biomedical informatics.

Authors:  Karimollah Hajian-Tilaki
Journal:  J Biomed Inform       Date:  2014-02-26       Impact factor: 6.317

4.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

5.  Magnetic Resonance Imaging Proton Density Fat Fraction Associates With Progression of Fibrosis in Patients With Nonalcoholic Fatty Liver Disease.

Authors:  Veeral Ajmera; Charlie C Park; Cyrielle Caussy; Seema Singh; Carolyn Hernandez; Ricki Bettencourt; Jonathan Hooker; Ethan Sy; Cynthia Behling; Ronghui Xu; Michael S Middleton; Mark A Valasek; Claire Faulkner; Emily Rizo; Lisa Richards; Claude B Sirlin; Rohit Loomba
Journal:  Gastroenterology       Date:  2018-04-13       Impact factor: 22.682

6.  Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat Using a New Quantitative Ultrasound Technique.

Authors:  Steven C Lin; Elhamy Heba; Tanya Wolfson; Brandon Ang; Anthony Gamst; Aiguo Han; John W Erdman; William D O'Brien; Michael P Andre; Claude B Sirlin; Rohit Loomba
Journal:  Clin Gastroenterol Hepatol       Date:  2014-12-03       Impact factor: 11.382

Review 7.  Non-invasive methods for imaging hepatic steatosis and their clinical importance in NAFLD.

Authors:  Nobuharu Tamaki; Veeral Ajmera; Rohit Loomba
Journal:  Nat Rev Endocrinol       Date:  2021-11-23       Impact factor: 47.564

Review 8.  Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes.

Authors:  Zobair M Younossi; Aaron B Koenig; Dinan Abdelatif; Yousef Fazel; Linda Henry; Mark Wymer
Journal:  Hepatology       Date:  2016-02-22       Impact factor: 17.425

Review 9.  Non-invasive diagnosis of non-alcoholic fatty liver disease. A critical appraisal.

Authors:  Mariana V Machado; Helena Cortez-Pinto
Journal:  J Hepatol       Date:  2012-11-23       Impact factor: 25.083

10.  Detection of Liver Steatosis With a Novel Ultrasound-Based Technique: A Pilot Study Using MRI-Derived Proton Density Fat Fraction as the Gold Standard.

Authors:  Giovanna Ferraioli; Laura Maiocchi; Maria Vittoria Raciti; Carmine Tinelli; Annalisa De Silvestri; Mara Nichetti; Pasquale De Cata; Mariangela Rondanelli; Luca Chiovato; Fabrizio Calliada; Carlo Filice
Journal:  Clin Transl Gastroenterol       Date:  2019-10       Impact factor: 4.488

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