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Abstract #2497

Comparison Of Manual And Automatic Liver MR Elastography Processing For Shear Stiffness Estimation In Children And Young Adults

Deep B. Gandhi1, Adebayo B. Braimah1, Jonathan Dudley1, Jean A. Tkach1, Amol Pednekar1, Andrew T. Trout1, Alexander G. Miethke2, Jeremiah A. Heilman3, Bogdan Dzyubak4, David S. Lake4, and Jonathan R. Dillman1
1Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Division of Hepatology, Gastroenterology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3Resoundant Inc., Rochester, MN, United States, 4Department of Radiology, Mayo Clinic, Rochester, MN, United States

Autoimmune liver diseases lead to fibrosis and is manifested as excessive accumulation of extracellular matrix and collagen that ultimately causes increase in liver stiffness. MR Elastography (MRE) has proven to be an important tool to clinically diagnose liver fibrosis. In this study we performed MRE at 1.5T on 65 subjects with autoimmune liver disease. The data was then manually processed by 2 independent readers and an automated algorithm. Near-perfect correlation and excellent agreement were observed between Reader1 and Reader2 against the automated algorithm (r=0.987 and r=0.981, respectively). Readers had excellent inter-reader agreement(ICC=0.988) and the automated algorithm also demonstrated perfect reproducibility.

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