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Effect of disease progression on liver apparent diffusion coefficient values in a murine model of NASH at 11.7 tesla MRI

✍ Scribed by Stephan W. Anderson; Jorge A. Soto; Holly N. Milch; Al Ozonoff; Michael O'Brien; James A. Hamilton; Hernan J. Jara


Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
480 KB
Volume
33
Category
Article
ISSN
1053-1807

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✦ Synopsis


Abstract

Purpose:

To evaluate the apparent diffusion coefficient (ADC) values of liver in a murine model of non‐alcoholic steatohepatitis using 11.7 Tesla (T) MRI.

Materials and Methods:

This animal study was IACUC approved. Seventeen male C57BL/6 mice were divided into control (n = 3) and experimental groups (n = 14) fed a methionine‐deficient choline‐deficient (MCD) diet to induce steatohepatitis. Livers underwent ex vivo diffusion‐weighted MR imaging and ADC maps were calculated. A pathologist determined subjective scores of steatosis, classified from 0 to 3. Digital image analysis was used to determine percentage areas of steatosis. Graphs comparing ADC to subjective and digital image analysis (DIA) determinations of steatosis were plotted.

Results:

Subjective assessments of steatosis ranged up to values of 3 and DIA determined areas of steatosis to range up to approximately 16%. ADC values approximated 800 × 10^−6^ mm^2^/s (range, 749–811 × 10^−6^ mm^2^/s, mean 786 × 10^−6^ mm^2^/s) in controls and 500 × 10^−6^ mm^2^/s (range, 478–733 × 10^−6^ mm^2^/s, mean 625 × 10^−6^ mm^2^/s) in experimental mice. Moderate correlation between ADC and subjective scores of steatosis (R = −0.56) was observed. Strong correlation between ADC values and percentage areas of steatosis was between ADC values and percentage areas of steatosis was observed greater (R = −0.81) and very strong correlation was observed with the exclusion of a single outlying data point (R = −0.91).

Conclusion:

Based on the comparison of ADC values and steatosis determinations by DIA, increasing degrees of steatosis are seen to result in decreased hepatic ADC values. J. Magn. Reson. Imaging 2011;33:882–888. © 2011 Wiley‐Liss, Inc.