MRI-Derived Radiomics Features of Hepatic Fat Predict Metabolic States in Individuals without Cardiovascular Disease.

Cardiovascular Diseases Diabetes Mellitus, Type 2 / complications Humans Liver / diagnostic imaging Magnetic Resonance Imaging Prospective Studies Reproducibility of Results Retrospective Studies
Diabetes mellitus Fatty liver Magnetic resonance Imaging Metabolic syndrome

Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
11 2021
Historique:
received: 11 03 2020
revised: 23 06 2020
accepted: 25 06 2020
pubmed: 18 8 2020
medline: 24 11 2021
entrez: 18 8 2020
Statut: ppublish

Résumé

To investigate radiomics features of hepatic fat as potential biomarkers of type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) in individuals without overt cardiovascular disease, and benchmarking against hepatic proton density fat fraction (PDFF) and the body mass index (BMI). This study collected liver radiomics features of 310 individuals that were part of a case-controlled imaging substudy embedded in a prospective cohort. Individuals had known T2DM (n = 39; 12.6 %) and MetS (n = 107; 34.5 %) status, and were divided into stratified training (n = 232; 75 %) and validation (n = 78; 25 %) sets. Six hundred eighty-four MRI radiomics features were extracted for each liver volume of interest (VOI) on T On the validation set, the radiomics RF models predicted T2DM with AUROC of 0.835 and Accuracy Hepatic radiomics features may serve as potential imaging biomarkers for T2DM and MetS.

Identifiants

DOI: 10.1016/j.acra.2020.06.030 PMID: 32800693
pubmed: 32800693
pii: S1076-6332(20)30408-6
doi: 10.1016/j.acra.2020.06.030
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

S1-S10

Informations de copyright

Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Daniel A P Gutmann (DAP)

Department of Diagnostic and Interventional Radiology, University Hospital, University of Tübingen, Tübingen, Germany.

Susanne Rospleszcz (S)

Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.

Wolfgang Rathmann (W)

Institute for Biometrics and Epidemiology, German Diabetes Center, Duesseldorf, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany.

Christopher L Schlett (CL)

Department of Diagnostic and Interventional Radiology, Medical Center - Faculty of Medicine, Hugstetter Straße 55 79106, Freiburg, Germany.

Annette Peters (A)

Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Chair of Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University, Munich, Germany; German Center for Diabetes Research (DZD), Neuherberg, Germany; German Center for Cardiovascular Research (DZHK e.V.), Munich, Germany.

Christian Wachinger (C)

Artificial Intelligence in Medical Imaging (AI-Med), Department of Child and Adolescent Psychiatry, Psychosomatic and Psychotherapy, University Hospital, Ludwig-Maximilians-University, Munich, Germany.

Sergios Gatidis (S)

Department of Diagnostic and Interventional Radiology, University Hospital, University of Tübingen, Tübingen, Germany.

Fabian Bamberg (F)

Department of Diagnostic and Interventional Radiology, Medical Center - Faculty of Medicine, Hugstetter Straße 55 79106, Freiburg, Germany. Electronic address: fabian.bamberg@uniklinik-freiburg.de.

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Classifications MeSH

questionsmedicales.fr › Maladies cardiovasculaires › MRI-Derived Radiomics Features of Hepatic Fat...
questionsmedicales.fr › Maladies endocriniennes › Diabète › Diabète de type 2 › MRI-Derived Radiomics Features of Hepatic Fat...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › MRI-Derived Radiomics Features of Hepatic Fat...
questionsmedicales.fr › Système digestif › Foie › MRI-Derived Radiomics Features of Hepatic Fat...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › MRI-Derived Radiomics Features of Hepatic Fat...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études prospectives › MRI-Derived Radiomics Features of Hepatic Fat...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Reproductibilité des résultats › MRI-Derived Radiomics Features of Hepatic Fat...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études rétrospectives › MRI-Derived Radiomics Features of Hepatic Fat...