David John Lomas1, Edmund Godfrey1, Andrew Patterson1, Richard Black1, Susan Davies2, Ilse Joubert1, Ashley Shaw1, Anant Krishnan1, Michael Allison3, Graeme Alexander3, Andrew Priest1, Martin Graves1
1Radiology, Addenbrooke's Hospital & University of Cambridge, Cambridge, United Kingdom; 2Pathology, Addenbrooke's Hospital & University of Cambridge, Cambridge, United Kingdom; 3Hepatology, Addenbrooke's Hospital & University of Cambridge, Cambridge, United Kingdom
MR elastography is a promising new biomarker for quantifying liver fibrosis. This work investigates several ROI placement strategies for the analysis of MRE elastogram data, including a wave detection confidence method, and whether they improve correlation of the stiffness estimates with established histopathological grading schema and semiautomated collagen analysis with Sirius Red staining. These data indicate that using more sophisticated analysis strategies based on mean stiffness region of interest values makes no discernible difference to the correlation with liver biopsy grading.
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