Accurate diagnosis of nonalcoholic fatty liver disease in human participants via quantitative ultrasound

Michael P. Andre, Aiguo Han, Elhamy Heba, Jonathan Hooker, Rohit Loomba, Claude B. Sirlin, John W Erdman, William D. O'Brien

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease in the United States, affects 30% of adult Americans, may progress to nonalcoholic steatohepatitis (NASH) and end-stage liver disease, and is a risk factor for diabetes and cardiovascular disease. The diagnosis, grading, and staging of NAFLD currently is based on liver biopsy examination with histologic assessment. Noninvasive image-based methods to evaluate the liver in adults with NAFLD are urgently needed. We developed a quantitative ultrasound (QUS) method that in animal studies shows promise for detection and quantification of liver fat content. The current study's contribution is to extend the work to human participants by assessing the accuracy of backscatter coefficient and attenuation coefficient for detection of hepatic steatosis in a cohort of adult participants with NAFLD and non-NAFLD controls. QUS parameters measured using routine clinical US scanners show promise for detecting and perhaps grading NAFLD.

Original languageEnglish (US)
Title of host publicationIEEE International Ultrasonics Symposium, IUS
PublisherIEEE Computer Society
Pages2375-2377
Number of pages3
ISBN (Electronic)9781479970490
DOIs
StatePublished - Oct 20 2014
Event2014 IEEE International Ultrasonics Symposium, IUS 2014 - Chicago, United States
Duration: Sep 3 2014Sep 6 2014

Publication series

NameIEEE International Ultrasonics Symposium, IUS
ISSN (Print)1948-5719
ISSN (Electronic)1948-5727

Other

Other2014 IEEE International Ultrasonics Symposium, IUS 2014
CountryUnited States
CityChicago
Period9/3/149/6/14

Fingerprint

liver
fats
attenuation coefficients
coefficients
scanners
animals
examination
causes

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Andre, M. P., Han, A., Heba, E., Hooker, J., Loomba, R., Sirlin, C. B., ... O'Brien, W. D. (2014). Accurate diagnosis of nonalcoholic fatty liver disease in human participants via quantitative ultrasound. In IEEE International Ultrasonics Symposium, IUS (pp. 2375-2377). [6931973] (IEEE International Ultrasonics Symposium, IUS). IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2014.0592

Accurate diagnosis of nonalcoholic fatty liver disease in human participants via quantitative ultrasound. / Andre, Michael P.; Han, Aiguo; Heba, Elhamy; Hooker, Jonathan; Loomba, Rohit; Sirlin, Claude B.; Erdman, John W; O'Brien, William D.

IEEE International Ultrasonics Symposium, IUS. IEEE Computer Society, 2014. p. 2375-2377 6931973 (IEEE International Ultrasonics Symposium, IUS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Andre, MP, Han, A, Heba, E, Hooker, J, Loomba, R, Sirlin, CB, Erdman, JW & O'Brien, WD 2014, Accurate diagnosis of nonalcoholic fatty liver disease in human participants via quantitative ultrasound. in IEEE International Ultrasonics Symposium, IUS., 6931973, IEEE International Ultrasonics Symposium, IUS, IEEE Computer Society, pp. 2375-2377, 2014 IEEE International Ultrasonics Symposium, IUS 2014, Chicago, United States, 9/3/14. https://doi.org/10.1109/ULTSYM.2014.0592
Andre MP, Han A, Heba E, Hooker J, Loomba R, Sirlin CB et al. Accurate diagnosis of nonalcoholic fatty liver disease in human participants via quantitative ultrasound. In IEEE International Ultrasonics Symposium, IUS. IEEE Computer Society. 2014. p. 2375-2377. 6931973. (IEEE International Ultrasonics Symposium, IUS). https://doi.org/10.1109/ULTSYM.2014.0592
Andre, Michael P. ; Han, Aiguo ; Heba, Elhamy ; Hooker, Jonathan ; Loomba, Rohit ; Sirlin, Claude B. ; Erdman, John W ; O'Brien, William D. / Accurate diagnosis of nonalcoholic fatty liver disease in human participants via quantitative ultrasound. IEEE International Ultrasonics Symposium, IUS. IEEE Computer Society, 2014. pp. 2375-2377 (IEEE International Ultrasonics Symposium, IUS).
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