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Abstract #2157

Accuracy of Texture Analysis to Detect Hepatic Fibrosis on T1 Weighted Contrast Enhanced MR

Hei Shun Yu 1 , Baojun Li 2 , Karen Buch 2 , Naznin Daginawala 2 , Brian Tischler 2 , and Stephan Anderson 2

1 Boston University Medical Center, Boston, MA, United States, 2 Boston University Medical Center, MA, United States

The purpose of this study was to diagnose and stage hepatic fibrosis by performing a texture analysis on post-gadolinium T1 weighted images of the liver parenchyma in the portal venous and equilibrium phases. A MATLAB-based texture analysis program was employed to extract 42 texture features for thirty patients. These texture parameters were analyzed using a linear discriminant analysis to calculate sensitivities and specificities. Findings of this study demosntrate specificities of 72% and 82% discriminating lower from higher grades of hepatic fibrosis on equilibrium and venous phases. The ability to non-invasively assess and quantify the severity of hepatic fibrosis is of diagnostic clinical importance and could potentially minimize invasive biopsy techniques to assess severity of fibrosis.

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