Proton-density fat-fraction quantification of the liver in the presence of ferumoxytol at 1.5T and 3T
Camilo A Campo1, Diego Hernando1, Tilman B Schubert1, Utaroh Motosugi1,2, Samir D Sharma1, Shane A Wells1, and Scott B Reeder1,3,4,5,6

1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Yamanashi, Yamanashi, Japan, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 5Medicine, University of Wisconsin-Madison, Madison, WI, United States, 6Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

Synopsis

This study evaluated the accuracy of liver proton-density fat-fraction (PDFF) quantification in the presence of ferumoxytol. Seven healthy subjects underwent MRI scans immediately before injection of ferumoxytol and one day after injection. Our results indicate that confounder-corrected chemical shift-encoded MRI PDFF estimates exhibit a small but significant bias in the presence of ferumoxytol. This bias could be due to differential shortening in the T2* of water and fat signals. Therefore, investigators attempting to create human models of iron and fat within the liver by administering ferumoxytol to patients with fatty liver should be aware of this potential source of bias.

Introduction

Chemical shift-encoded MRI (CSE-MRI) measurements of proton-density fat-fraction (PDFF) in the liver have emerged as accurate imaging biomarkers for the non-invasive detection and quantification of hepatic steatosis in patients with non-alcoholic fatty liver disease.1 Because hepatic steatosis commonly occurs concurrently with liver iron accumulation,2 studies have utilized intravenous injections of superparamagnetic iron oxide (SPIO) contrast agents to evaluate the accuracy of liver PDFF measurements in the presence of iron-caused R2* signal decay.3

Ferumoxytol is an SPIO-based agent used in iron replacement therapy for patients with anemia, and it is growing in popularity for off-label use as an MR contrast agent.4 Despite the research and clinical interest in ferumoxytol, no studies have been conducted to investigate the performance of PDFF measurements in the presence of ferumoxytol to the best of our knowledge. Therefore, the purpose of this study was to evaluate the accuracy of liver PDFF quantification in subjects receiving ferumoxytol injections.

Methods

Seven healthy subjects (mean[range] age: 47.1[32–60] years; 3M/4F) were recruited for this study after IRB approval and informed written consent. Three subjects were given a dose of 2mg/kg of ferumoxytol. Four subjects were given a dose of 4mg/kg of ferumoxytol. Imaging was performed at 1.5T and 3T (HDxt and MR750, respectively, GE Healthcare, Waukesha, WI) immediately before ferumoxytol injection, and one day following injection.

Imaging was performed at each field strength using an investigational version of a CSE-MRI technique based on a multi-echo 3D spoiled gradient echo acquisition, using a 32-channel phased-array torso coil.

Imaging parameters for 1.5T were: TR=15.5ms, TE1=1.24ms, ΔTE=2.06ms, echoes=6, FOV=400x360mm, slice thickness=8mm, flip angle=5°, slices=28, and receiver bandwidth=±125kHz. Imaging parameters for 3T were: TR=8.02ms, TE1=1.24ms, ΔTE=1.01ms, echoes=6, FOV=400x360mm, slice thickness=8mm, flip angle=4°, slices=28, receiver bandwidth=±125kHz. Additionally, a multi-TE Stimulated Echo Acquisition Mode (STEAM) single voxel MR Spectroscopy (MRS) was performed to provide a T2-corrected reference for PDFF.5 Voxel size was 20×20×20-30×30×30mm and it was located on the right liver lobe (segment 6–7).

CSE imaging data were processed using a confounder-corrected R2* and PDFF mapping algorithm.6,7 R2* and PDFF measurements were obtained by drawing a single region-of-interest (ROI) on the right liver lobe (segment 6–7). This ROI was co-localized on both R2* and PDFF maps for every subject and magnetic field strength.

Jarque-Bera statistical tests were done to test the normality of the distribution of R2* and PDFF differences pre- and post-injection. Student’s paired t-tests were done to test the statistical significance of the R2* and PDFF differences pre- and post-injection.

Bland-Altman analysis was done to assess the accuracy of PDFF measurements performed with MRI (MRI-PDFF) by analyzing their agreement with PDFF measurements obtained with MRS (MRS-PDFF) pre- and post-injection.

Results

Liver R2* measurements (s-1) pre- and post-injection had a mean ± SD[range] of 68.6 ± 55.8[27.8–232.8] and 246.1 ± 84.4[123.6–371.4], respectively. Liver MRI-PDFF measurements (%) pre- and post-injection had a mean ± SD[range] of 7.2 ± 5.9[1.1–18.4] and 9.0 ± 6.4[1.6–19.7], respectively. Liver MRS-PDFF measurements (%) pre- and post-injection had a mean ± SD[range] of 7.0 ± 6.3[0.42–17.7] and 7.1 ± 7.9[0.61–23.0], respectively.

R2* and PDFF differences were normally distributed pre- and post-injection at both field strengths. Figure 1 shows the R2* and PDFF maps of Subject 1 pre- and post-injection at 3T. Figure 2 shows liver R2*, MRI-PDFF, and MRS-PDFF measurements from all subjects pre- and post-injection. MRI-PDFF was significantly higher post-injection at both field strengths (1.5T, p=0.02; 3T, p=0.014). MRS-PDFF was not significantly different post-injection at either field strength (1.5T, p=0.8; 3T, p=0.44). The Bland-Altman plots in Figure 3 show the agreement between MRI-PDFF and MRS-PDFF pre- and post-injection at 1.5T and 3T. MRI-PDFF and MRS-PDFF measurements pre- and post-injection were not significantly different at either field strength (Figure 4).

Discussion and Conclusions

Our results indicate that confounder-corrected CSE-MRI estimates of PDFF exhibit a small but significant bias in the presence of ferumoxytol. Possible reasons for this bias could be related to differential shortening in the T2* of water and fat signals. Although estimates of PDFF are R2*-corrected, the signal model assumes a common R2* value for water and fat, which is a good assumption in vivo,8 even in the presence of endogenous iron overload.9 Further, the T1 shortening effects of this agent could also potentially introduce additional unforeseen bias. Overall, however, the bias introduced into PDFF estimates is small, but investigators attempting to create human models of iron and fat within the liver by administering ferumoxytol to patients with fatty liver should be aware of this potential source of bias. Independent R2*-correction may be needed for accurate estimation of PDFF in this case.

Acknowledgements

We acknowledge the support of NIH (R01 DK083380, R01 DK088925, R01 DK100651) and GE Healthcare.

References

1) Reeder Hepatology 2013 2) Sirlin Magn Reson Imaging Clin N Am 2010 3) Liau Magn Reson Imaging 2013 4) Bashir J Magn Reson Imaging 2015 5) Hamilton NMR Biomed 2011 6) Yu Magn Reson Med 2008 7) Meisamy Radiology 2011 8) Horng J Magn Reson Imaging 2013 9) Horng ISMRM 2014

Figures

Figure 1 – (A) R2* and (B) PDFF maps from Subject 1 pre- and post-injection of ferumoxytol at 3T.

Figure 2 – Table summarizing the liver R2*, MRI-PDFF, and MRS-PDFF measurements pre- and post-injection of ferumoxytol for all subjects at (A) 1.5T (B) 3T. Also shown are the mean differences (values post-injection - values pre-injection) and p-values.

Figure 3 – Bland-Altman plots showing the agreement between MRI-PDFF and MRS-PDFF pre- and post-injection of ferumoxytol at (A) 1.5T and (B) 3T.

Figure 4 – Summary of the Bland-Altman analysis of the agreement between MRI-PDFF and MRS-PDFF pre- and post-injection at (A) 1.5T and (B) 3T. Included in the table are the mean differences, 95% confidence intervals (CI’s), and p-values.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
3841