MRI Breakthrough for Liver Diagnosis
Share
Follow Us
Mayo Clinic in Rochester
Liver Diagnosis Breakthrough with Mayo Clinic MRI Development
MR Elastography provides early warning
Mayo Clinic researchers have developed a new technique for using magnetic resonance imaging (MRI) to accurately measure the hardness or elasticity of the liver. First tests show this technology — called MR Elastography (MRE) — holds great promise for detecting liver fibrosis, a common condition that can lead to incurable cirrhosis if not treated in time. Traditionally, liver fibrosis is usually diagnosed using needle biopsies, which can involve complications and may be inaccurate due to sampling errors. The new technology promises to provide an accurate, painless, and lower risk alternative to liver biopsy and may have implications for diagnosing cancer. These research findings appeared in the journal Radiology.
“This is potentially an important diagnostic advance, since conventional imaging techniques, such as CT, MRI and ultrasound are not capable of identifying liver fibrosis prior to the onset of cirrhosis,” says Richard Ehman, M.D., Mayo researcher and lead investigator on the study.
“The Elastogram”
The healthy liver is very soft compared to most other tissues and especially compared to a liver with cirrhosis, which is rock hard. The development by Dr. Ehman and his colleagues applies vibrations to the liver and then utilizes a modified form of MRI to obtain pictures of the mechanical waves passing through the organ. The imaging can be accomplished in as little as 20 seconds. The wave pictures are then processed to generate a quantitative image of tissue stiffness — called an elastogram.
Researchers compared results of the process on 12 patients with biopsy-proven liver fibrosis with those of 12 healthy participants. This pilot trial of MRE showed strikingly elevated stiffness in patients with fibrosis and that the stiffness increased with the progression of the condition.
Impact of the Research
The availability of a reliable, non-invasive method for detecting liver fibrosis could lead to early diagnosis — in patients considered at risk for liver disease — and increase their chances for successful treatment. For example, 170 million people worldwide are infected with chronic hepatitis C and a significant number will develop cirrhosis, which is untreatable. Even if some risk factors are identified, there is no way to predict which patients will develop fibrosis, and successive liver biopsies in all these patients aren’t possible. Non-invasive monitoring with MRE of those at risk would detect the problem early and help assess the effect of treatments.
Collaboration and Support
Others on the research team include Meng Yin; Olivier Rouviere, M.D.; Jayant Talwalkar, M.D.; M. Alex Dresner, Ph.D.; Phillip Rossman; Lawrence Burgart, M.D.; and Jeff Fidler, M.D. The research was funded in part by the National Institutes of Health.
