Shannon Donnola1, Kimberly McBennett2,3, David Weaver3, Lan Lu1,4, Xin Yu1,5,6, James Chmiel3, Michael Konstan3, Mitchell Drumm3,7, and Chris Flask1,3,5
1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Medicine, University Hospitals of Cleveland, OH, United States, 3Pediatrics, University Hospitals of Cleveland, Cleveland, OH, United States, 4Urology, Case Western Reserve University, Cleveland, OH, United States, 5Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 6Physiology and Biophysics, Case Western Reserve University, Cleveland, OH, United States, 7Genetics, Case Western Reserve University, Cleveland, OH, United States
Synopsis
Liver
disease is the third leading cause of death in Cystic Fibrosis (CF).
Unfortunately, conventional liver function tests cannot sensitively detect it.1-3
Liver stiffness measurements via MRI and ultrasound have shown promise but are unfortunately
impacted by other factors (e.g., hepatic fat) potentially resulting in over-estimation
of fibrosis.4,5 We recently validated a T1-MRI assessment of biliary
dilatation and fibrosis in a rat model of congenital hepatic fibrosis (Figs.
1-3).6 In this clinical study, we show that T1-MRI can be used to
sensitively detect increased percent bile duct volumes in CF patients in
comparison to control subjects with normal liver function.
Purpose
To
determine whether T1 relaxation time assessments previously validated in a rat
model of congenital hepatic fibrosis could be used to quantitatively assess hepatobiliary
fibrosis in cystic fibrosis patients with normal liver function tests.Methods
We recruited six adult cystic fibrosis patients (3 male, 3
female; age=26-62) and five healthy volunteers (2 male, 3 female; age=27-47).
The CF patients had a range of lung disease (FEV1 = 38 - 100%) but showed no
signs of liver disease as evidenced by elevated liver enzymes (e.g., Gamma-Glutamyl
Transpeptidase). The non-CF volunteers
had no known liver diseases. All subjects were scanned on a Siemens Skyra 3.0T
MRI scanner using a rapid Look Locker MRI acquisition in a single 5-second
breath hold (TR/TE = 2.02
ms / 0.97 ms, FOV = 400 mm x 400 mm, matrix size = 64 x 128, flip angle = 7°,
slice thickness = 6 mm, 40 images following the initial inversion).7,8 T1 maps were acquired for seven axial
slices over each subject’s liver and the images were exported for offline T1
estimation in Matlab using a least-squares fit to an exponential model. A thresholding technique was then
used to separate bile ducts (high T1 values) from the normal liver parenchyma
(lower T1 values). An ROI analysis was then performed to calculate percent
bile duct as: (Bile Duct Volume / Total Liver ROI Volume) * 100%. Large vessels were avoided in
order to limit the effects of vasculature in each imaging slice. Each subject’s
mean percent bile duct volume was established by averaging over all seven
imaging slices. Scatterplots of the mean percent bile duct volume for each
subject as well as a two-tailed Student’s t-test were performed to compare the
imaging results between the CF patients and the healthy controls. A p-value of
less than 0.05 was considered statistically significant. Results
Representative liver T1 relaxation time maps from
a CF patient and a non-CF control subject are shown in Figure 4. The CF
patients exhibited visible increases in bile ducts (Fig. 4C) similar to the rat
model of congenital hepatic fibrosis (Figures 1-3). These T1 maps were then thresholded to distinguish
regions of increased T1 values (e.g., bile ducts) from lower T1 values typical
of normal liver parenchyma. Pseudo-colored
thresholding of the liver T1 maps for the same healthy control subject and CF
patient are shown in Figures 4B and 4D. Voxels with T1 values over the
threshold are shown in green. The thresholding and subsequent ROI selection (to
select the majority of the liver while excluding major blood vessels) were used
to calculate the % Bile Duct Volume for each patient and volunteer. Mean values of % Bile Duct Volume for the CF
patients were significantly increased relative to the healthy control subjects
(15.1% vs. 9.92%, p=0.02) as shown in Figure 5. Discussion
Cystic
Fibrosis Liver Disease (CFLD) is the third leading cause of death in CF and
exhibits the same pathophysiologic manifestations as the PCK rat: biliary dilatation and associated progressive
periportal fibrosis leading to cirrhosis and liver failure.1-3
Importantly, CFLD therapies are also available (e.g. ursodeoxycholic acid,
UDCA) aimed at reducing biliary dilatation. Unfortunately, our understanding of
CFLD progression as well as the efficacy of liver-specific therapies in
individual CF patients is hindered by the lack of a safe and effective test to
detect and monitor CFLD. Serum-based liver function tests lack the sensitivity
and specificity to detect early-stage liver disease.3 In addition,
liver stiffness measurements by elastography techniques are impacted by
multiple pathophysiologic features of CFLD including biliary dilatation,
fibrosis, steatosis, and/or edema leading to non-specific and potentially
erroneous results.4,5
In a
previous preclinical study of the PCK rat model of congenital hepatic fibrosis,
we showed that T1-MRI assessments: 1) can sensitively detect hepatobiliary
dilatation; and 2) were significantly correlated with histologic measures of %
bile duct area, % fibrosis area, and collagen content (i.e., hydroxyproline)
(Figure 2,3). This is the first clinical
evaluation of the capability for T1 relaxometry assessments to sensitively
detect hepatobiliary dilatation as an early marker for periportal hepatic
fibrosis. In this study, we have shown
that CF patients exhibit significantly increased % bile duct volume in
comparison to non-CF control subjects (Figures 4,5). Conclusion
Overall,
these results suggest that quantitative and rapid T1-MRI assessments (5 seconds
/ imaging slice) may provide a specific and sensitive assessment of CFLD.
Importantly, this straightforward MRI technique may also be relevant for other
chronic liver diseases (e.g., Autosomal Recessive Polycystic Kidney Disease,
alcoholic liver disease, etc). Acknowledgements
We would like to acknowledge the
support of the Cystic Fibrosis Foundation, NIH/NIDDK ROI DK085099, NIH/NIDDK
K12 DK100014, the Case Comprehensive Cancer Center (NIH/NCI P30 CA43703), and
the Clinical and Translational Science Collaborative of Cleveland (NIH/NCATS
UL1 TR000439).References
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