Maninder Singh1, Owen T Carmichael1, Adil Bashir2, Anne M Russel3, Mark Bolding4, David T Redden3, Judd Storr5, William R Willoughby6, Candace Howard Claudio5, Daniel S Hsia7, Robert P Kimberly8, Meagan E Gray6, Eric Ravussin7,9, and Thomas S Denny2
1Biomedical Imaging Center, Pennington Biomedical Research Center, Baton Rouge, LA, United States, 2Auburn University, Auburn, AL, United States, 3University of Alabama, Birmingham, AL, United States, 4University of Alabama Medical Center, Birmingham, AL, United States, 5The University of Mississippi Medical Center, Jackson, MS, United States, 6The University of Alabama Medical Center, Birmingham, AL, United States, 7Pennington Biomedical Research Center, Baton Rouge, LA, United States, 8The University of Alabama School of Medicine, Birmingham, AL, United States, 9The University of Alabama, Birmingham, AL, United States
Synopsis
Keywords: Liver, Liver, Nonalcoholic Fatty Liver Disease; Magnetic Resonance Spectroscopy; Elasticity Imaging Techniques; Magnetic Resonance Imaging
Non-alcoholic fatty liver disease (NAFLD) is a
leading cause of end-stage liver disease. NAFLD diagnosis and follow-up relies
on a combination of clinical data, liver imaging, and/or liver biopsy. However,
inter-site imaging differences impede diagnostic consistency and reduce the
repeatability of the multi-site clinical trials necessary to develop effective
treatments. The goal of this pilot study was to harmonize commercially
available 3T magnetic resonance imaging (MRI) measurements of liver fat and stiffness
in human participants across academic sites and MRI vendors.
Purpose
Non-alcoholic fatty liver disease (NAFLD) is a
leading cause of end-stage liver disease. NAFLD diagnosis and follow-up relies
on a combination of clinical data, liver imaging, and/or liver biopsy. However,
inter-site imaging differences impede diagnostic consistency and reduce the
repeatability of the multi-site clinical trials necessary to develop effective
treatments. The goal of this pilot study was to harmonize commercially
available 3T magnetic resonance imaging (MRI) measurements of liver fat and
stiffness in human participants across academic sites and MRI vendors.Methods
Four obese participants were recruited from outpatient clinics at the
University of Alabama at Birmingham (UAB). The UAB IRB served as the single reviewing
IRB of record and participating sites relied on the UAB IRB approval of the
Human Subjects Research protocol. All participants provided written informed
consent. Inclusion criteria included 1) age greater than 18 years; 2) BMI greater
than 30 kg/m2 (23 kg/m2 among individuals whose
self-reported race was Asian); and 3) body weight less than 150 kg. In addition to MRI contraindications,
exclusion criteria included clinical history of cirrhosis, HIV positivity, or
drug abuse within the previous 12 months.
MRI scans were conducted in all participants at four participating sites:
Auburn University (Auburn), University of Alabama at Birmingham (UAB),
University of Mississippi Medical Center (UMMC) and Pennington Biomedical
Research Center (PBRC) within two weeks of the scans at UAB, and the average
time between scans was 4.5 days.
Water-oil phantoms (concentration: 4%, 10%, 15%, 25%, 40%, 45% and 55%) were
constructed in 50 mL conical tubes based on a modified version of the phantoms
as described by Hines et al.1 to identify biasness in data
measurement at each site. Harmonized proton density fat fraction (PDFF) and
magnetic resonance spectroscopy (MRS) protocols were used to quantify the fat
fractions of synthetic phantoms and human participants with obesity using
standard acquisition parameters at four sites that had four different 3T MRI
instruments (Table 1). In addition, a harmonized magnetic resonance
elastography (MRE) protocol was used to quantify liver stiffness among
participants at two different sites at 1.5 and 3T field strengths (Table 2).
Data were sent to a single data coordinating site for post-processing.
Agreement among the known phantom lipid fractions and those provided by
MRS and PDFF (known vs MRS, known vs PDFF and MRS vs PDFF) was assessed using
linear regression in MATLAB (Figure 1). For the human and phantom data,
separate intraclass correlation coefficients (ICC) for PDFF, MRS, and MRE
quantified inter-scanner agreement. ICC
calculations used the sample means as the outcome within a one-way ANOVA model
treating participant as a random effect. For PDFF and MRS, the ICC approach
compared four participants measured at four sites. For MRE, the ICC compared four participants
measured at two sites. An ICC ≥ 0.8 indicates high repeatability. Using 10,000
bootstrap samples per outcome, one-sided 95% confidence intervals (CI) for the
ICC were calculated. ICC analyses were conducted using SAS 9.4.Results and Discussion
A positive bias was established in phantom liver
fat fraction MRS measurement at one site (PBRC) which was leveraged during
post-processing as a correction factor for all human MRS liver measurements for
that site. PDFF and MRS fat fraction measurements were highly repeatable
between sites (despite heterogeneity in MRI hardware and software) in both phantoms
(ICC: 0.994 and 0.988, see Figure 1) and humans (ICC: 0.964 and 0.915, see
Figure 2 and 3). MRE measurements of liver stiffness in three individuals at
two sites using one 1.5T and one 3T instrument showed repeatability that was
high although lower than that of MRS and PDFF (ICC 0.864). Establishing such
repeatability is critically important to understand the validity of
measurements taken in multi-site clinical trials1-3, wherein
site-to-site variation must be identified, controlled, and ultimately
minimized. We anticipate that our approach, including harmonization of data
acquisition parameters, centralized data analysis, phantom measurements at all
sites, and a traveling cohort, may be utilized to establish the repeatability
of future multi-site MRI-based methods relevant to NAFLD and NASH clinical
trials.Conclusions
We demonstrated harmonization of PDFF-, MRS-, and MRE-based
quantification of liver fat and stiffness through synthetic phantoms, traveling
participants, and standardization of post-processing analysis. Multi-site MRI
harmonization could contribute to multi-site clinical trials assessing the
efficacy of interventions and therapy for NAFLD.Acknowledgements
We thank the UAB Center for Clinical and Translational Science (CCTS)
Clinical Research Support Program (CRSP) for their assistance with this study’s
recruitment, enrollment, coordination and regulatory compliance. Research reported in this publication was supported by
the National Center for Advancing Translational Sciences of the National
Institutes of Health under award number UL1TR003096, and by the
Pennington/Louisiana NORC Center Grant P30 DK072476. The content is solely the
responsibility of the authors and does not necessarily represent the official
views of the National Institutes of Health.
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