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Open AccessJournal ArticleDOI

Agreement Between Magnetic Resonance Imaging Proton Density Fat Fraction Measurements and Pathologist-Assigned Steatosis Grades of Liver Biopsies From Adults With Nonalcoholic Steatohepatitis.

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TLDR
Based on data from a phase 2 randomized controlled trial of adults with NASH, PDFF estimated by MRI scanners of different field strength and at different sites, accurately classifies grades and changes in hepatic steatosis when histologic analysis of biopsies is used as a reference.
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This article is published in Gastroenterology.The article was published on 2017-09-01 and is currently open access. It has received 193 citations till now. The article focuses on the topics: Steatosis.

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The Additive Values of the Classification of Higher Serum Uric Acid Levels as a Diagnostic Criteria for Metabolic-Associated Fatty Liver Disease

TL;DR: The rationale for SUA being established as another risk factor for metabolic dysfunctions in lean/normal-weight NAFLD–non-MAFLD patients with higher SUA levels is supported.
Journal ArticleDOI

Changes in abdominal adipose tissue depots accessed by MRI correlate with hepatic histologic improvement in non-alcoholic steatohepatitis.

TL;DR: In this paper , a secondary analysis of prospectively acquired data from the multicenter, randomized, placebo-controlled FLINT trial investigated the relationship between reduction in adipose tissue compartment volumes and hepatic histologic improvement.
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Longitudinal changes on liver proton density fat fraction differ between liver segments

TL;DR: Larger PDFFChanges in the right liver lobe were observed compared to PDFF changes in the left liver lobe (LLL) in subjects with both increasing and decreasing mean liver PDFF after one year, in line with the existing literature reporting a heterogeneous spatial distribution of liver fat.
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Deep Learning Techniques for Fatty Liver Using Multi-View Ultrasound Images Scanned by Different Scanners: Development and Validation Study

TL;DR: With deep learning techniques and multi-view ultrasound images, it is potentially possible to replace MRI–PDFF values with deep learning predictions for detecting fatty liver disease and estimating fat fraction values.
References
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Journal ArticleDOI

Prevalence of Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis Among a Largely Middle-Aged Population Utilizing Ultrasound and Liver Biopsy: A Prospective Study

TL;DR: Prevalence of nonalcoholic fatty liver disease and NASH is higher than estimated previously and Hispanics and patients with diabetes are at greatest risk for both NAFLD and NASh.
Journal ArticleDOI

Estimation of Error Rates in Discriminant Analysis

TL;DR: In this article, several methods of estimating error rates in discriminant analysis are evaluated by sampling methods, and two methods in most common use are found to be significantly poorer than some new methods that are proposed.
Journal ArticleDOI

The global NAFLD epidemic

TL;DR: The similarities and differences in the epidemiology of NAFLD in different regions of the world are discussed and the potential role of genetics and insulin resistance in disease progression is also presented.
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