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Updated: Feb 23, 2026
Author Spotlight: A Non-Invasive Tool to Assess and Differentiate Fat Patterns in Liver Using 3D Dixon MRI
Published on: October 20, 2023
Quantification of Liver Fat with mDIXON Magnetic Resonance Imaging, Comparison with the Computed Tomography and the
Venkatraman Bhat1, Sundararaman Velandai2, Vikram Belliappa3
1Senior Consultant, Department of Radiology, Narayana Health, Shaw Mazumdar Medical Center, Bengaluru, Karnataka, India.
Introduction:
Accurate, non-invasive method of fat estimation is a valuable test for evaluation of diseases with abnormal hepatic fat.
Aim:
To determine the accuracy of mDixon MR technique in assessment of liver fat over CT and to correlate the CT and MRI findings with biopsy.
Materials And Methods:
A prospective observational study was conducted at Imaging Services of Narayana Multispeciality Hospital between March 2011- December 2012. Thirty patients who attended the clinic for non-hepatic complaints were included in the study. Patients with known liver disease, cirrhosis, alcoholic liver disease, bleeding diathesis and claustrophobic patients were excluded from the study. Subjects underwent sonography, CT liver and MR examination of liver for fat estimation using mDixon protocol. Biopsy of the liver was performed either by image guidance or by direct biopsy. Liver Attenuation Index (LAI), fat estimation by MR methods were reviewed independently by two observers and compared with biopsy results. The statistical analysis was performed by SPSS. Pearson correlation was used to find the correlation between the left and right lobe of liver segments by CT and histological correlation.
Results:
There was good correlation between the MR estimation of liver fat and histological grading. Majority (90%) of patients had fat content of less than 10%. Maximal fat content of 28% was observed in one patient. LAI values poorly correlated with the MRI and histological observations.
Conclusion:
MR estimation of the liver using mDixon technique yielded specific information about liver fat, correlated well with the histological grading. Technique is more accurate than CT, does not involve ionising radiation, hence recommended as method of choice.
