© 2026 Optics and Photonics at Nottingham
43%
56.3%
8.8%
£5m+
Data for 2020-2025 from SciVal
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
Comparing magnetic resonance liver fat fraction measurements with histology in fibrosis: the difference between proton density fat fraction and tissue mass fat fraction Journal Article
In: MAGMA, vol. 36, no. 4, pp. 553–563, 2023.
Abstract | Tags: Fatty liver, fibrosis, liver cirrhosis, Liver diseases, Non-alcoholic fatty liver disease
@article{Bawden2023-bk,
title = {Comparing magnetic resonance liver fat fraction measurements
with histology in fibrosis: the difference between proton
density fat fraction and tissue mass fat fraction},
author = {Stephen James Bawden and Caroline Hoad and Philip Kaye and Mary Stephenson and Grace Dolman and Martin W James and Emilie Wilkes and Andrew Austin and Indra Neil Guha and Susan Francis and Penny Gowland and Guruprasad P Aithal},
year = {2023},
date = {2023-08-01},
journal = {MAGMA},
volume = {36},
number = {4},
pages = {553\textendash563},
publisher = {Springer Science and Business Media LLC},
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 1.5 T Philips scanner and biopsies
were obtained. Multiple echo MRS (30 $times$ 30 $times$ 30 mm
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.},
keywords = {Fatty liver, fibrosis, liver cirrhosis, Liver diseases, Non-alcoholic fatty liver disease},
pubstate = {published},
tppubtype = {article}
}
A part of the University of Nottingham
© 2026 Optics and Photonics at Nottingham. Created for free using WordPress and Kubio