Detection of Liver Fibrosis With Magnetic Resonance Imaging (MRI)

Chronic Liver Disease Clinical Trial

Official title: Prospective Detection of Liver Fibrosis With MRI Compared to Fibroscan and Blood Tests

Status Completed

Clinical Trial Summary

Patients with chronic liver disease are at high risk of developing liver scarring (fibrosis), with ultimate risks of cirrhosis and liver cancer that may require liver transplant. The investigators would like to develop non invasive advanced Magnetic Resonance Imaging (MRI) techniques (MR diffusion, perfusion and elastography) to assess the degree of liver damage in patients with chronic liver disease. These techniques combined could reach high diagnostic performance for detection of liver fibrosis; and could decrease the number of liver biopsies, which have risks and sample only a small portion of the liver.

Clinical Trial Description

Patients with chronic hepatitis have increased risks of liver damage, including fibrosis and cirrhosis, which may eventually lead to hepatocellular carcinoma and end-stage liver disease requiring liver transplantation. These diseases are/will be the source of enormous health care costs and morbidity/mortality in the US.

Most hepatologists still rely on liver biopsy findings in patients newly diagnosed with chronic hepatitis, which enables the assessment of liver damage (fibrosis and inflammation). Liver biopsy has limitations, including cost, invasiveness, poor patient acceptance, limited sampling, inter-observer variability and is difficult to repeat.

Non invasive tests to capture the extent of liver damage at a larger scale are urgently needed. These will gain more acceptance among patients and hepatologists.

In this proposal, the investigators would like to test and validate non invasive MRI methods based on advanced MR diffusion, perfusion and elastography techniques for the detection of fibrosis and cirrhosis in patients with chronic hepatitis. In order to improve the diagnostic performance of MRI, the investigators would like to build and validate a predictive model based on advanced functional MRI metrics (diffusion, perfusion and elastography). If validated, this novel non invasive algorithm will not only decreases the number of liver biopsies, but also enable earlier diagnosis of liver fibrosis when antiviral treatment is more effective, and enable a comprehensive evaluation of the liver (to assess for cirrhosis, portal hypertension and hepatocellular cancer).

This could significantly reduce the cost of care, could become a useful tool for testing new antifibrogenic and antiviral drugs in chronic viral hepatitis, and could be used to follow patients for detection of progression to cirrhosis. ;

Related Conditions & MeSH terms

• Chronic Liver Disease
• Fibrosis
• Liver Cirrhosis
• Liver Diseases

• NCT number: NCT01600105
• Study type: Interventional
• Source: Icahn School of Medicine at Mount Sinai
• Status: Completed
• Phase: Phase 4
• Start date: October 2010
• Completion date: July 31, 2017