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Faculty

Jeremy S. Paige

Liver Imaging Group
Department of Radiology
University of California San Diego
San Diego, CA

Gregory S. Bernstein

Liver Imaging Group
Department of Radiology
University of California San Diego
San Diego, CA

Elhamy Heba

Liver Imaging Group
Department of Radiology
University of California San Diego
San Diego, CA

Eduardo A. C. Costa

Liver Imaging Group
Department of Radiology
University of California San Diego
San Diego, CA

Marilia Fereirra

Liver Imaging Group
Department of Radiology
University of California San Diego
San Diego, CA

Tanya Wolfson

Liver Imaging Group
Department of Radiology
Computational and Applied Statistics Laboratory
University of California San Diego
San Diego, CA

Anthony C. Gamst

Liver Imaging Group
Department of Radiology
Computational and Applied Statistics Laboratory
University of California San Diego
San Diego, CA

Mark A. Valasek

Department of Pathology
University of California San Diego
San Diego, CA

Grace Y. Lin

Department of Pathology
University of California San Diego
San Diego, CA

Aiguo Han

Bioacoustics Research Laboratory
Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
Urbana, IL

John W. Erdman, Jr.

Department of Food Science and Human Nutrition
University of Illinois at Urbana-Champaign
Urbana, IL

William D. O'Brien, Jr.

Bioacoustics Research Laboratory
Department of Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
Urbana, IL

Michael P. Andre

Liver Imaging Group
Department of Radiology
University of California San Diego
San Diego VA Healthcare System
San Diego, CA

Rohit Loomba

NAFLD Translational Research Unit
Division of Gastroenterology
University of California San Diego
Division of Epidemiology
Department of Family and Preventive Medicine
University of California San Diego
San Diego, CA

Claude B. Sirlin

Liver Imaging Group
Department of Radiology
University of California San Diego
San Diego, CA

Accredited by

American Roentgen Ray Society

Course Description

After completing the material in this article, the learner should be able to:
1. Describe the clinical and imaging criteria for steatosis grade in adult nonalcoholic fatty liver disease (NAFLD);
2. Discuss the advantages and disadvantages of quantitative ultrasound (QUS) parameters, attenuation coefficient and backscatter coefficient, in comparison with conventional ultrasound (CUS) for predicting steatosis grade in adult NAFLD; and
3. Discuss the use of MRI-estimated proton density fat fraction (PDFF) for predicting steatosis grade in adult NAFLD.

Activity Details

Credit Types:CME
Credit Amount:1.00 Credits
Release Date:2017-Apr-21
Expiration Date:2020-Apr-20
Estimated Time for Completion:1 hour
Registration Required:Yes
Cost:$0-$40

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