News Release

New MRI technique detects MS brain changes earlier

Peer-Reviewed Publication

Radiological Society of North America

New MRI Technique Detects MS Brain Changes Earlier

image: (A, B) Sample spectra and abnormal metabolic images of myo-inositol (mI), N-acetylaspartate (NAA), and the ratio of mI to NAA (mI/NAA) together with MRI scans in two participants with multiple sclerosis. Red arrow in A indicates region in normal-appearing white matter with higher signal intensity of mI only. Yellow arrow in B indicates region with higher signal intensity of mI and reduced signal intensity of NAA, where no changes or only diffuse changes are visible at T1-weighted MRI (T1w)/ fluid-attenuated inversion-recovery (FLAIR) imaging, and green arrow indicates white matter lesions, where elevated mI signal intensity extends FLAIR-visible pathologic findings. i.u. = institutional unit, ppm = parts per million, tCho = total choline, tCr = total creatine. view more 

Credit: Radiological Society of North America

OAK BROOK, Ill. – A new neuroimaging technique can detect biochemical changes in the brains of people with multiple sclerosis (MS) early in the course of the disease, paving the way for faster treatment evaluation and other potential benefits, according to a study published in the journal Radiology.

 

MS is a disease of the central nervous system that can cause fatigue, pain and impaired coordination. It affects nearly 3 million people worldwide, and incidence is rising. There is no cure, but physical therapy and medications can slow its progression.

 

Lesions to the brain’s signal-carrying white matter are the most readily detectable manifestation of MS on MRI. The lesions, linked to the loss of the protective coating around white matter fibers called myelin, represent only macroscopic tissue damage. A means to find changes in the brain at an earlier microscopic or biochemical stage would be beneficial.

 

An advanced imaging technique known as proton MR spectroscopy is a promising tool in this effort. MR spectroscopy of the brain can detect several metabolites, or substances produced during metabolism, that have potential relevance for MS.

 

Researchers in Austria used the technique to compare biochemical changes in the brains of 65 people with MS with those of 20 healthy controls. They deployed an MRI scanner with a powerful 7-Tesla (T) magnet.

 

The results showed reduced levels of an amino acid derivative called N-acetylaspartate (NAA) in patients with MS. Lower levels of NAA have been linked to impaired integrity of neurons in the brain. People with MS also showed elevated levels of myo-inositol (MI), a compound involved in cell signaling. Higher levels are indicative of substantial inflammatory disease activity.

 

The metabolic alterations in normal-appearing white matter and cortical gray matter were associated with disability.

 

Researchers said the results show a potential role for 7T MR spectroscopic imaging in visualizing MS pathology beyond demyelinating lesions.

 

“MRI of neurochemicals enables the detection of changes in the brain of multiple sclerosis patients in regions that appear inconspicuous on conventional MRI,” said study senior author Wolfgang Bogner, Ph.D., from the High Field MR Centre at the Medical University of Vienna in Vienna, Austria. “The visualized changes in neurochemistry of normal-appearing brain tissue correlated with the patients’ disabilities.”

 

The changes detected by the new imaging technique have significant clinical applications, according to study lead author Eva Heckova, Ph.D., from the High Field MR Centre at the Medical University of Vienna.

 

“Some neurochemical changes, particularly those associated with neuroinflammation, occur early in the course of the disease and may not only be correlated with disability, but also be predictive of further progression such as the formation of multiple sclerosis lesions,” she said.

 

While more work is needed to confirm the results, the results support 7T MR spectroscopic imaging as a valuable new aid in the care of people with MS.

 

“If confirmed in longitudinal clinical studies, this new neuroimaging technique could become a standard imaging tool for initial diagnosis, for disease progression and therapy monitoring of multiple sclerosis patients and, in concert with established MRI, might contribute to neurologists’ treatment strategies,” Dr. Bogner said.

 

The researchers are working to further improve the image quality of the new technique and fully integrate it for use in routine clinical MRI scanners.

 

“In parallel, we will continue our ongoing longitudinal clinical study to validate its ability to detect clinically important pathologic changes in the brain of multiple sclerosis patients and to evaluate the efficacy of different treatment regimens earlier than other currently available clinical tools,” Dr. Heckova said.

 

###

 

“Extensive Brain Pathologic Alterations Detected with 7.0-T MR Spectroscopic Imaging Associated with Disability in Multiple Sclerosis.” Collaborating with Drs. Bogner and Heckova were Assunta Dal-Bianco, M.D., Bernhard Strasser, Ph.D., Gilbert J. Hangel, Ph.D., Alexandra Lipka, M.Sc., Stanislav Motyka, M.Sc., Lukas Hingerl, Ph.D., Paulus S. Rommer, M.D., Thomas Berger, M.D., M.Sc., Petra Hnilicová, Ph.D., Ema Kantorová, M.D., Ph.D., Fritz Leutmetzer, M.D., Egon Kurča, M.D., Ph.D., Stephan Gruber, Ph.D., and Siegfried Trattnig, M.D.

 

Radiology is edited by David A. Bluemke, M.D., Ph.D., University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, and owned and published by the Radiological Society of North America, Inc. (https://pubs.rsna.org/journal/radiology)

 

RSNA is an association of radiologists, radiation oncologists, medical physicists and related scientists promoting excellence in patient care and health care delivery through education, research and technologic innovation. The Society is based in Oak Brook, Illinois. (RSNA.org)

 

For patient-friendly information on MRI, visit RadiologyInfo.org.


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.