Presentation (Project) Title

MRI Proton Density Fat Fractionation (MRI-PDFF) Analysis with Metabolic Variances

Mentor Information

Guy Neff (Department of Hepatology)

Presentation Format

Event

Abstract

Non-alcoholic fatty liver disease (NAFLD) has become the most common cause of chronic liver disease worldwide, and the healthcare system is burdened by the unmet need for a high throughput noninvasive method of diagnosis. For decades, the gold-standard of NASH, the invasive for NAFLD, is done using liver biopsy. This invasive procedure carries substantial morbidity risks and is uncomfortable. Our hypothesis is to evaluate MRI-PDFF values and compare to liver biopsy results. Also, this project will look over patients that have MRI-PDFF values above 8%. Data was collected from 105 patients that have been randomized within two NAFLD trails, Madrigal 14 (MGL 14) and Madrigal 11 (MGL 11), at a large clinical research center. The data consists of CAP values, MRI-PDFF values, obesity, and hypertension. It was broken into three groups (CAP 248 – 280, 281 – 300, and 300 and above) and evaluated. The collected data and results above supports the use of MRI- PDFF as a non-invasive and reliable method for measuring liver fat content.

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MRI Proton Density Fat Fractionation (MRI-PDFF) Analysis with Metabolic Variances

Non-alcoholic fatty liver disease (NAFLD) has become the most common cause of chronic liver disease worldwide, and the healthcare system is burdened by the unmet need for a high throughput noninvasive method of diagnosis. For decades, the gold-standard of NASH, the invasive for NAFLD, is done using liver biopsy. This invasive procedure carries substantial morbidity risks and is uncomfortable. Our hypothesis is to evaluate MRI-PDFF values and compare to liver biopsy results. Also, this project will look over patients that have MRI-PDFF values above 8%. Data was collected from 105 patients that have been randomized within two NAFLD trails, Madrigal 14 (MGL 14) and Madrigal 11 (MGL 11), at a large clinical research center. The data consists of CAP values, MRI-PDFF values, obesity, and hypertension. It was broken into three groups (CAP 248 – 280, 281 – 300, and 300 and above) and evaluated. The collected data and results above supports the use of MRI- PDFF as a non-invasive and reliable method for measuring liver fat content.