Evidence map›Paper›PMID 30887196›Full record

ArticleEuropean radiology2019

Prediction of nonalcoholic fatty liver disease (NAFLD) activity score (NAS) with multiparametric hepatic magnetic resonance imaging and elastography.

Ziying Yin, Matthew C Murphy, Jiahui Li, Kevin J Glaser, Amy S Mauer, Taofic Mounajjed, Terry M Therneau, Heshan Liu, Harmeet Malhi, Armando Manduca and 2 more

Abstract read
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  11. Early diagnosis of hepatic inflammation in Japanese nonalcoholic fatty liver disease patients using 3D MR elastography.Hepatology research : the official journal of the Japan Society of Hepatology · 2023
    Article
  12. Review
  13. Longitudinal Changes in MR Elastography-based Biomarkers in Obese Patients Treated with Bariatric Surgery.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ziying YinDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
Matthew C MurphyDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
Jiahui LiDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
Kevin J GlaserDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
Amy S MauerDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
Taofic MounajjedDivision of Anatomic Pathology, Mayo Clinic, Rochester, MN, USA.
Terry M TherneauDepartment of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Heshan LiuDepartment of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Harmeet MalhiDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
Armando ManducaDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
Richard L EhmanDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA.
Meng YinDepartment of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN, 55905, USA. yin.meng@mayo.edu.

Funding

Comprehensive noninvasive assessment of liver histopathology in nonalcoholic fatty liver disease (NAFLD) via magnetic resonance imaging, cytometry and elastography (MR-ICE)R01EB017197 · NIBIB · MAYO CLINIC ROCHESTER · PI YIN, MENG · 2014 to 2025
$4.3M
Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
Pathobiology of Liver InjuryR01DK111378 · NIDDK · MAYO CLINIC ROCHESTER · PI MALHI, HARMEET · 2016 to 2025
$3.9M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
Foundation for the National Institutes of Health DK111378Foundation for the National Institutes of Health EB001981Foundation for the National Institutes of Health EB017197NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R01 EB017197NIBIB NIH HHS R37 EB001981NIDDK NIH HHS R01 DK111378
6 · The paper itself

Abstract

objectivesTo investigate the use of MR elastography (MRE)-derived mechanical properties (shear stiffness (|G*|) and loss modulus (G″)) and MRI-derived fat fraction (FF) to predict the nonalcoholic fatty liver disease (NAFLD) activity score (NAS) in a NAFLD mouse model.

methodsEighty-nine male mice were studied, including 64 training and 25 independent testing animals. An MRI/MRE exam and histologic evaluation were performed. Pairwise, nonparametric comparisons and multivariate analyses were used to evaluate the relationships between the three imaging parameters (FF, |G*|, and G″) and histologic features. A virtual NAS score (vNAS) was generated by combining three imaging parameters with an ordinal logistic model (OLM) and a generalized linear model (GLM). The prediction accuracy was evaluated by ROC analyses.

resultsThe combination of FF, |G*|, and G″ predicted NAS > 1 with excellent accuracy in both training and testing sets (AUROC > 0.84). OLM and GLM predictive models misclassified 3/54 and 6/54 mice in the training, and 1/25 and 1/25 in the testing cohort respectively, in distinguishing between "not-NASH" and "definite-NASH." "Borderline-NASH" prediction was poorer in the training set, and no borderline-NASH mice were available in the testing set.

conclusionThis preliminary study shows that multiparametric MRI/MRE can be used to accurately predict the NAS score in a NAFLD animal model, representing a promising alternative to liver biopsy for assessing NASH severity and treatment response. KEY POINTS: • MRE-derived liver stiffness and loss modulus and MRI-assessed fat fraction can be used to predict NAFLD activity score (NAS) in our preclinical mouse model (AUROC > 0.84 for all NAS levels greater than 1). • The overall agreement between the histological-determined NASH diagnosis and the imaging-predicted NASH diagnosis is 80-92%. • The multiparametric hepatic MRI/MRE has great potential for noninvasively assessing liver disease severity and treatment efficacy.

Indexed as

AnimalsBiopsyDisease Models, AnimalElasticity Imaging TechniquesEpidemiologic MethodsLiverMagnetic Resonance ImagingMaleMice, Inbred C57BLMultiparametric Magnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseElastographyMagnetic resonance imagingNonalcoholic fatty liver diseaseNonalcoholic steatohepatitis

Identifiers

PMID30887196
PMCPMC6751038

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.