Cargando…

Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content

MRI is a popular noninvasive method for the assessment of liver fat content. After MRI scan acquisition, there is currently no standardized image analysis procedure for the most accurate estimate of liver fat content. We determined intraindividual reliability of MRI-based liver fat measurement using...

Descripción completa

Detalles Bibliográficos
Autores principales: Burhans, Maggie S, Balu, Niranjan, Schmidt, Kelsey A, Cromer, Gail, Utzschneider, Kristina M, Schur, Ellen A, Holte, Sarah E, Randolph, Timothy W, Kratz, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751946/
https://www.ncbi.nlm.nih.gov/pubmed/33381677
http://dx.doi.org/10.1093/cdn/nzaa171
_version_ 1783625757464985600
author Burhans, Maggie S
Balu, Niranjan
Schmidt, Kelsey A
Cromer, Gail
Utzschneider, Kristina M
Schur, Ellen A
Holte, Sarah E
Randolph, Timothy W
Kratz, Mario
author_facet Burhans, Maggie S
Balu, Niranjan
Schmidt, Kelsey A
Cromer, Gail
Utzschneider, Kristina M
Schur, Ellen A
Holte, Sarah E
Randolph, Timothy W
Kratz, Mario
author_sort Burhans, Maggie S
collection PubMed
description MRI is a popular noninvasive method for the assessment of liver fat content. After MRI scan acquisition, there is currently no standardized image analysis procedure for the most accurate estimate of liver fat content. We determined intraindividual reliability of MRI-based liver fat measurement using 10 different MRI slice analysis methods in normal-weight, overweight, and obese individuals who underwent 2 same-day abdominal MRI scans. We also compared the agreement in liver fat content between analytical methods and assessed the variability in fat content across the entire liver. Our results indicate that liver fat content varies across the liver, with some slices averaging 54% lower and others 75% higher fat content than the mean of all slices (gold standard). Our data suggest that the entire liver should be contoured on at least every 10th slice to achieve close agreement with the gold standard.
format Online
Article
Text
id pubmed-7751946
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-77519462020-12-29 Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content Burhans, Maggie S Balu, Niranjan Schmidt, Kelsey A Cromer, Gail Utzschneider, Kristina M Schur, Ellen A Holte, Sarah E Randolph, Timothy W Kratz, Mario Curr Dev Nutr Research Methodology/Study Design MRI is a popular noninvasive method for the assessment of liver fat content. After MRI scan acquisition, there is currently no standardized image analysis procedure for the most accurate estimate of liver fat content. We determined intraindividual reliability of MRI-based liver fat measurement using 10 different MRI slice analysis methods in normal-weight, overweight, and obese individuals who underwent 2 same-day abdominal MRI scans. We also compared the agreement in liver fat content between analytical methods and assessed the variability in fat content across the entire liver. Our results indicate that liver fat content varies across the liver, with some slices averaging 54% lower and others 75% higher fat content than the mean of all slices (gold standard). Our data suggest that the entire liver should be contoured on at least every 10th slice to achieve close agreement with the gold standard. Oxford University Press 2020-12-18 /pmc/articles/PMC7751946/ /pubmed/33381677 http://dx.doi.org/10.1093/cdn/nzaa171 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Society for Nutrition. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Methodology/Study Design
Burhans, Maggie S
Balu, Niranjan
Schmidt, Kelsey A
Cromer, Gail
Utzschneider, Kristina M
Schur, Ellen A
Holte, Sarah E
Randolph, Timothy W
Kratz, Mario
Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content
title Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content
title_full Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content
title_fullStr Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content
title_full_unstemmed Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content
title_short Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content
title_sort impact of the analytical approach on the reliability of mri-based assessment of hepatic fat content
topic Research Methodology/Study Design
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751946/
https://www.ncbi.nlm.nih.gov/pubmed/33381677
http://dx.doi.org/10.1093/cdn/nzaa171
work_keys_str_mv AT burhansmaggies impactoftheanalyticalapproachonthereliabilityofmribasedassessmentofhepaticfatcontent
AT baluniranjan impactoftheanalyticalapproachonthereliabilityofmribasedassessmentofhepaticfatcontent
AT schmidtkelseya impactoftheanalyticalapproachonthereliabilityofmribasedassessmentofhepaticfatcontent
AT cromergail impactoftheanalyticalapproachonthereliabilityofmribasedassessmentofhepaticfatcontent
AT utzschneiderkristinam impactoftheanalyticalapproachonthereliabilityofmribasedassessmentofhepaticfatcontent
AT schurellena impactoftheanalyticalapproachonthereliabilityofmribasedassessmentofhepaticfatcontent
AT holtesarahe impactoftheanalyticalapproachonthereliabilityofmribasedassessmentofhepaticfatcontent
AT randolphtimothyw impactoftheanalyticalapproachonthereliabilityofmribasedassessmentofhepaticfatcontent
AT kratzmario impactoftheanalyticalapproachonthereliabilityofmribasedassessmentofhepaticfatcontent