Stephen James Bawden
Comparing magnetic resonance liver fat fraction measurements with histology in fibrosis: the difference between proton density fat fraction and tissue mass fat fraction
Bawden, Stephen James; Hoad, Caroline; Kaye, Philip; Stephenson, Mary; Dolman, Grace; James, Martin W.; Wilkes, Emilie; Austin, Andrew; Guha, Indra Neil; Francis, Susan; Gowland, Penny; Aithal, Guruprasad P.
Authors
Dr CAROLINE HOAD CAROLINE.L.HOAD@NOTTINGHAM.AC.UK
SENIOR RESEARCH FELLOW
Philip Kaye
Mary Stephenson
Grace Dolman
Martin W. James
Emilie Wilkes
Andrew Austin
Professor NEIL GUHA neil.guha@nottingham.ac.uk
PROFESSOR OF HEPATOLOGY
Professor SUSAN FRANCIS susan.francis@nottingham.ac.uk
PROFESSOR OF PHYSICS
Professor Penny Gowland PENNY.GOWLAND@NOTTINGHAM.AC.UK
PROFESSOR OF PHYSICS
Professor GURUPRASAD AITHAL Guru.Aithal@nottingham.ac.uk
PROFESSOR OF HEPATOLOGY
Abstract
Objective: Magnetic resonance spectroscopy (MRS) provides a powerful method of measuring fat fraction. However, previous studies have shown that MRS results give lower values compared with visual estimates from biopsies in fibrotic livers. This study investigated these discrepancies and considered whether a tissue water content correction, as assessed by MRI relaxometry, could provide better agreement. Materials and methods: 110 patients were scanned in a 1.5T Philips scanner and biopsies were obtained. Multiple echo MRS (30 × 30 × 30mm volume) was used to determine Proton Density Fat Fraction (PDFF). Biopsies were assessed by visual assessment for fibrosis and steatosis grading. Digital image analysis (DIA) was also used to quantify fat fraction within tissue samples. T1 relaxation times were then used to estimate tissue water content to correct PDFF for confounding factors. Results: PDFF values across the four visually assessed steatosis grades were significantly less in the higher fibrosis group (F3–F4) compared to the lower fibrosis group (F0–F2). The slope of the linear regression of PDFF vs DIA fat fraction was ~ 1 in the low fibrosis group and 0.77 in the high fibrosis group. Correcting for water content based on T1 increased the gradient but it did not reach unity. Discussion: In fibrotic livers, PDFF underestimated fat fraction compared to DIA methods. Values were improved by applying a water content correction, but fat fractions were still underestimated.
Citation
Bawden, S. J., Hoad, C., Kaye, P., Stephenson, M., Dolman, G., James, M. W., Wilkes, E., Austin, A., Guha, I. N., Francis, S., Gowland, P., & Aithal, G. P. (2023). Comparing magnetic resonance liver fat fraction measurements with histology in fibrosis: the difference between proton density fat fraction and tissue mass fat fraction. Magnetic Resonance Materials in Physics, Biology and Medicine, 36(4), 553-563. https://doi.org/10.1007/s10334-022-01052-0
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 23, 2022 |
Online Publication Date | Dec 20, 2022 |
Publication Date | 2023-08 |
Deposit Date | Feb 4, 2023 |
Publicly Available Date | Feb 7, 2023 |
Journal | Magnetic Resonance Materials in Physics, Biology and Medicine |
Print ISSN | 0968-5243 |
Electronic ISSN | 1352-8661 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
Volume | 36 |
Issue | 4 |
Pages | 553-563 |
DOI | https://doi.org/10.1007/s10334-022-01052-0 |
Keywords | Liver diseases, Fatty liver, Non-alcoholic fatty liver disease, Fibrosis, Liver cirrhosis |
Public URL | https://nottingham-repository.worktribe.com/output/15923892 |
Publisher URL | https://link.springer.com/article/10.1007/s10334-022-01052-0 |
Files
Comparing magnetic resonance liver fat fraction measurements
(1.1 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
You might also like
Structuring white rice with gellan gum reduces the glycemic response in healthy humans
(2024)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search