Jiahui Li1, Marzanna Obrzut1, Xin Lu1, Alina Allen2, Sudhakar K. Venkatesh1, Taofic Mounajjed3, Jun Chen1, Kevin J. Glaser1, Armando Manduca1, Vijay Shah2, Richard L. Ehman1, and Meng Yin1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology, Mayo Clinic, Rochester, MN, United States, 3Mayo Clinic, Rochester, MN, United States
Synopsis
We performed multiparametric
3D MR Elastography (MRE) in 37 obese patients who underwent bariatric
surgeries. MRI/MRE, anthropometrics, and liver biopsy
were obtained within three months of bariatric surgery and one year later. 12/37 (32%) patients have
biopsy-proven non-alcoholic fatty liver disease (NAFLD) at the time of surgery.
The MRE-assessed shear stiffness (SS) and loss modulus (LM) of subcutaneous
adipose tissue decreased significantly after the surgery, as well as the liver
tissue. MRE-assessed SS and LM have potential in distinguishing
the obesity-induced metabolic disorder in the adipose tissues. The mechanical
change may correlate with the therapeutic response in these obese patients.
Introduction
Obesity
has become one of the most serious public health problems with increasing
prevalence. It often causes lots of
medical disorders, including diabetes, nonalcoholic fatty liver disease (NAFLD),
and nonalcoholic steatohepatitis (NASH)(1). It is well-accepted that obesity promotes a
state of chronic low-grade systemic inflammation, which is reflected not only
by increased production of cytokines and proinflammatory adipokines by adipose
tissue, but also by a cellular component(2). Recently, a group found that the adipose
tissue in obese rats is stiffer than normal rats by optical assessment(3). Magnetic Resonance Elastography
(MRE) assessed shear
stiffness (SS) is a well-established quantitative biomarker for
fibrosis (4). Loss modulus (LM), as another mechanical
parameter derived from MRE, has been demonstrated to have potentials in
distinguishing inflammation(5). We aim to use multi-parametric MRE-derived
SS and LM to assess the obesity-induced metabolic disorders in subcutaneous adipose
tissue in obese patients, with an assessment of the liver simultaneously.Methods
All
activities related to human subjects were reviewed and approved by our
institutional review board. We enrolled 37 obese patients (BMI≥30 kg/m2), who underwent bariatric surgery and
intraoperative hepatic biopsies within three months of MRI/MRE exams(6). We performed multi-parametric 3D MRE at 30Hz and
multi-echo Dixon MRI. One year after the
surgery, all patients had a follow-up MRI/MRE and a percutaneous liver biopsy.
All subjects were imaged on 1.5T whole‐body scanners (GE Healthcare, Milwaukee,
WI). We calculated the SS and LM of subcutaneous adipose
tissue and liver from manually drawn ROIs in MRE. The ROIs of subcutaneous
adipose tissue were drawn mainly on the right side and left anterior part of
the abdominal wall with sufficient fat magnitude and wave signal, avoiding the back
and areas beneath the actuator to avoid
pre-loaded pressure from body weight or driver. The proton density fat fraction
(PDFF) was obtained from 8 ROIs drown in each hepatic segments and weighted by
the area of ROIs. Nonparametric Wilcoxon tests were used to compare the mean
values of BMI and all MRI/MRE parameters at baseline and 1-year after surgery. Spearman’s
correlations were used to analyze the relationships between stiffness measurements
of subcutaneous adipose tissue and other parameters. For all statistical
analyses, a significance level of 0.05 was used.Results
After the surgery, the mean value of BMI decreased
significantly (47.38 ± 8.66 kg/m2 vs. 33.03 ± 5.28 kg/m2). The
SS and LM of subcutaneous adipose tissue (SAT-SS, SAT-LM) showed significant
decrease after surgery (SAT-SS: 0.92 ± 0.21 kPa vs. 0.70 ± 0.09 kPa,
p < 0.01; SAT-LM: 0.17 ± 0.07 kPa vs. 0.11 ± 0.01 kPa, p<0.01)
(Figure 1). The SS and LM of liver (L-SS: 1.58 ± 0.59 kPa vs. 1.37
± 0.36
kPa, p < 0.01; L-LM: 0.37 ± 0.13 kPa vs. 0.29 ± 0.09 kPa, p<0.01),
and hepatic PDFF decreased significantly (13.41 ± 8.68% vs. 3.41 ±
1.76%, p<0.01) (Figure 2). Figure 3 shows example MRI anatomical images, MRE
wave images (shear displacement), and elastograms of a non-NAFLD obese patient
before and after the surgery.
In a subgroup of 12 obese patients with baseline biopsy
results that were negative for steatosis, ballooning, and fibrosis (Non-NAFLD),
we found that the SS and LM of subcutaneous adipose tissue and liver also
decreased significantly after the surgery and showed no significant difference
between patients with or without histological inflammation (Figure 4).
Spearman’s correlation analysis demonstrates
that both SAT-SS and SAT-LM have significant correlations with BMI, PDFF, L-SS
and L-LM (Table 1). Discussion
Obesity arouses
serious metabolic disorders in adipose tissue, including adipocyte hypertrophy,
hypoxia and stress(2). Mechanically, SS is more sensitive
to matrix deposition and structural changes, like hypertrophy, and fibrosis. In
obese patients, the adipose hypertrophy and the overrepresented macrophages
induced by inflammation may cause the elevation in SS. As LM is more sensitive
to the precursory interstitial fluid changes that are parts of the inflammation
process. After treatment, the production of cytokines and proinflammatory
adipokines in adipose tissue may decrease, which leads to a decrease of LM. Adipose
tissue is a very soft semi-liquid material at body temperature. Given the
limited spatial resolution in a general liver MRE setup, we expect that
mechanical response and its calculation are more prominent and reliable at a
lower frequency (30Hz) rather than a higher frequency (60Hz). As an
ongoing study, we will analyze the changes of cytokines in adipose
tissue and measure the fat fraction of subcutaneous adipose tissue.Conclusion
Our preliminary
results demonstrated that the SS and LM of subcutaneous adipose tissue
decreased significantly after the surgery, as well as the liver. The results
indicate that MRE-assessed SS and LM have potential in differentiating the
obesity-induced metabolic disorder in adipose tissue, and may correlate with
the therapeutic response in obese patients. Multi-parametric MRE may provide a
promising diagnostic tool for detecting and monitoring systemic metabolic
disorders in both adipose tissue and liver in obese patients.Acknowledgements
This study is funded by the National Institute of
Diabetes and Digestive and Kidney Diseases (K23DK115594), Mayo Clinic Center
for Cell Signaling in Gastroenterology (NIDDK P30DK084567), American College of
Gastroenterology 2017 Junior Faculty Development Grant, Mayo Clinic Transform
the Practice Grant, NIH grants EB017197 and EB001981, Mayo Clinic Center for
Individualized Medicine Imaging Biomarker Discovery Program.References
1.
Sun B, Karin M. Obesity, inflammation, and liver cancer. J Hepatol
2012;56(3):704-713. doi: 10.1016/j.jhep.2011.09.020
2.
M.M.J. van Greevenbroek* CGS, C.D.A. Stehouwer. obesity-associated low-grade
inflammation in type 2 diabetes mellitus: causes and consequences. Neth J Med
2013;71(4):174-187.
3.
Troyanova-Wood M, Gobbell C, Meng Z, Gashev AA, Yakovlev VV. Optical assessment
of changes in mechanical and chemical properties of adipose tissue in
diet-induced obese rats. Journal of biophotonics 2017;10(12):1694-1702. doi:
10.1002/jbio.201600281
4.
Yin M, Talwalkar JA, Glaser KJ, Manduca A, Grimm RC, Rossman PJ, Fidler JL,
Ehman RL. Assessment of hepatic fibrosis with magnetic resonance elastography.
Clinical gastroenterology and hepatology : the official clinical practice
journal of the American Gastroenterological Association
2007;5(10):1207-1213.e1202. doi: 10.1016/j.cgh.2007.06.012
5.
Li J. Detection of Early Hepatic Inflammation in Obese Patients with MR
Elastography (MRE). ISMRM abstract 2019.
6. Allen AM, Shah VH, Therneau
TM, Venkatesh SK, Mounajjed T, Larson JJ, Mara KC, Schulte PJ, Kellogg TA,
Kendrick ML, McKenzie TJ, Greiner SM, Li J, Glaser KJ, Wells ML, Chen J, Ehman
RL, Yin M. The Role of Three-Dimensional Magnetic Resonance Elastography in the
Diagnosis of Nonalcoholic Steatohepatitis in Obese Patients Undergoing
Bariatric Surgery. Hepatology (Baltimore, Md) 2018. doi: 10.1002/hep.30483