Zhao Fan yu1, Chen Yidi1, Zhang Huiting2, Stephan Kannengiesser3, and Long Liling1
1Radiology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China, 2Siemens Healthcare Ltd, MR Scientific Marketing, Wuhan, China, 3Siemens Healthcare GmbH, MR Application Development, Erlangen, Germany
Synopsis
Feasibility and accuracy of confounder-corrected
3D multi-echo-Dixon (ME-Dixon) imaging and T2-corrected multi-echo single-voxel
(HISTO) spectroscopy for the quantification of liver iron content at 3T
MRI were investigated in rabbits with or without fatty liver, compared with
conventional 2D multi-gradient-echo (2D GRE) imaging, using histopathology as a
reference. The
results showed that compared with HISTO (R2_water) method, the multi-echo Dixon
(R2*) method was found to be superior for liver iron and fat evaluations. AUC
calculations showed that both the ME-Dixon and 2D GRE values had high accuracy
for diagnosing liver iron overload in the rabbit model for LICs up to 7mg/g.
Introduction
3D multi-echo-Dixon (ME-Dixon) and multi-echo MR
spectroscopy (MRS) sequences have been shown to simultaneously quantify iron
and fat deposits in the liver without interferences[1-3]. Since the advent of
these techniques,it has seldom been possible to use liver tissue pathology or
chemical analyses as a reference standard to quantify liver iron content and
fat deposition simultaneously, and data from 3T are especially scarce.The
purpose of this study was toinvestigate the feasibility and accuracy of
ME-Dixon and T2-corrected multi-echo single-voxel (HISTO) MRS for the
quantification of hepatic iron overload at 3T MRI in rabbits with or without
fatty liver at 3T.Method
This prospective study was approved by the Animal
Research Committee of our institution. The care of laboratory animals and all
animal experiments adhered to the Guide for the Care and Use of Laboratory
Animals published by the U.S. National Institutes of Health.
Forty-four adult New Zealand white rabbits were
obtained and randomly divided into a control group and experimental groups.
ME-Dixon, HISTO, and conventional 2D multi-gradient-echo (GRE) sequences were
performed ona 3T MRI system (MAGNETOM Prisma, Siemens Healthcare, Erlangen,
Germany)for rabbits with different degrees of hepatic iron deposition induced
by dextran feeding. The parameters of ME-Dixon were as follows:TE1/spacing/TE6=1.26/1.34/7.96ms,
repetition time (TR)=9.25ms, slice thickness =3.5mm, a low flip angle (4°) to
reduce T1 effects, matrix size = 160×120, field of view (FOV)= 120×100 mm2,
bandwidth =1200Hz/pixel, accelerate factor =4, scan time = 16s. The HISTO
sequence was executed twice with different TE ranges: 12/24/36/48/72ms (HISTO)
and 12/15/18/21/24ms (HISTO_H). All other parameters remained the same:
TR=3000ms, bandwidth =1200Hz, averages=1, voxel sizes =3~5cm3, and
acquisition time=15s. The spectroscopy voxel was positioned on three-plane
localizing images avoiding the main vessels and liver edges with edge lengths
from 1.4cm to 1.7cm. The parameters ofthe conventional GRE sequence were as
follows(for R2*): TR=200ms, TE1/spacing/TE12=0.96/1.42/16.48ms, bandwidth
=1950Hz/Pixel, FOV = 120×100 mm2, matrix size =128×128, 10 slices
with a 5mm thickness. Dixon_R2* and proton density fat fraction (PDFF) were
calculated from the ME-Dixon sequence, GRE_R2*was calculated from the 2D_GRE data,
HISTO_R2_water and HISTO_H_R2_water were calculated from HISTO (for moderate
iron load) and HISTO-H (for high iron load) sequences.
After
MR scanning, the rabbits were euthanized and the liver iron content (LIC) and liver fat content (LFC)were obtained using chemical analyses.
Statistical analyses were performed using
SPSS software (Version 22.0) and MedCalc (Version 13.1.2.0). the correlations of above metrics were
calculated. Receiver operating characteristic curves (ROC) and area of under
the curve (AUC) were used to evaluate the diagnostic efficiency for iron
content. A P<0.05 was considered statistically
significant.Results
For LIC<7.0mg/g dry weight (dw), LIC was
significantly correlated with HISTO_H_R2_water (r=0.858, p<0.001),
Dixon_R2*(r=0.910, p<0.001), and GRE_R2* (r=0.931, p<0.001), while
HISTO_R2_water was weakly correlated with LIC (r=0.424, P=0.008), as shown in
Figure 1. There was a strong correlation between the LFC and the HISTO_PDFF
(r=0.776, p<0.001), HISTO_H_PDFF (r=0.811, p<0.001), and Dixon_PDFF
(r=0.888, p<0.001) (Table 1). Using the LIC thresholds of 1.8 and 3.2mg/g
dw, the AUCs of the HISTO, HISTO-H, ME-Dixon, and 2D_GRE were 0.861, 0.978,
0.971, 0.994 and 0.652, 0.906, 0.983, 0.957, respectively. The AUC of Dixon_R2*
and GRE_R2*showedno significant difference (P=0.149 and P=0.319, respectively)
(Figure 2).Discussion
This study showed that the ME-Dixon outperformed
the HISTO sequence in simultaneously quantifying liver steatosis and iron
overload with better diagnostic accuracy in the rabbit model.
In our study,the AUC calculations showed that both the Dixon_R2* and GRE_R2*
values have high accuracy for diagnosing liver iron overload for LICs up to
7mg/g. The HISTO sequence had a lower diagnostic performance than the other
sequences, and it became poorer as LICs increased. The results showed HISTO,
ME-Dixon and 2D GRE sequences can reliably classify liver iron load according
to the clinically significant LIC thresholds of 1.8 and 3.2 mg/g dw; the
ME-Dixon and 2D GRE sequences quantified liver iron content with similarly high
diagnostic performances.
There are limitations in our study. Firstly, some
rabbits with fatty liver developed liver fibrosis; the degree of liver fibrosis
was not assessed, so a potential influence of fibrosis in the MR results could
not be assessed. Secondly, the pathophysiologic characteristics of iron
overload via dextran-loading in rabbits might differ from iron overload in
human beings. Conclusions
The multi-echo Dixon sequence has superior
diagnostic performance compared to that of the HISTO sequence for the
simultaneous quantification of liver steatosis and iron overload. The 3D
ME-Dixon technique is a promising and useful tool to quantify liver iron
content, especially in patients with co-existing hepatic steatosis.Acknowledgements
We would like to thank Editage for
English language editing. And we thank Tang Cheng, Lei Yiwu technologists in
our department, for their work performing measurements for this study.References
1. Sharma P, Altbach M, Galons JP, Kalb B, Martin DR.Measurement of liver fat fraction and iron with
MRI and MR spectroscopy techniques. Diagn IntervRadiol.
2014;20(1):17-26.
2. Zhong X, Nickel MD, Kannengiesser SA, Dale BM, Kiefer B,
Bashir MR. Liver fat quantification using a multi-step
adaptive fitting approach with multi-echo GRE imaging. MagnReson Med.
2014;72(5):1353-1365.
3. Galimberti S, Trombini P, Bernasconi DP, et al. Simultaneous liver
iron and fat measures by magnetic resonance imaging in patients with
hyperferritinemia. Scand J Gastroenterol. 2015 Apr;50(4):429-38.