News | August 26, 2007

New MRI Finding Sheds Light on Multiple Sclerosis Disease Progression

August 27, 2007 - According to a study published in the August issue of Radiology, by using magnetic resonance (MR) images of the brain, researchers have identified a new abnormality related to disease progression and disability in patients with multiple sclerosis (MS).

“Based on these findings, physicians may be able to diagnose multiple sclerosis more accurately and identify patients at risk for developing progressive disease,” said the study’s lead author, Rohit Bakshi, M.D., associate professor of neurology and radiology at Harvard Medical School and director of clinical MS-MRI at Brigham and Women’s Hospital and Partners MS Center in Boston.

Dr. Bakshi and colleagues retrospectively reviewed the T1 MRI data of 145 MS patients, including 112 women and 33 men. Ninety-two patients had relapsing-remitting MS and 49 patients had secondary-progressive MS. The disease classification was unknown in four patients.

The researchers found that T1-weighted MR images of the brains of MS patients often depict bright areas called hyperintense lesions, also known as areas of “T1 shortening,” and set out to determine if there was a relationship between the frequency and location of these lesions and disease progression, brain atrophy and disability in patients with MS.

The analysis uncovered 340 T1 hyperintense lesions in 123 patients. Lesions were more likely to be present in patients with secondary-progressive MS. In addition, 71 percent of patients with secondary-progressive MS had multiple T1 hyperintense lesions, compared with 46 percent of relapsing-remitting MS patients. The total number of T1 hyperintense lesions was closely correlated with physical disability, disease progression and brain atrophy.

“The findings suggest that T1 hyperintense lesions commonly occur in patients with MS and that the presence of multiple lesions indicates a risk for an advancing disease course,” Dr. Bakshi said. “These results further emphasize the importance of MR neuroimaging in the diagnosis and management of neurologic disorders such as MS.”

For more information: www.rsna.org/radiologyjnl

Related Content

ITN Wins Jesse H. Neal Award for Best Technical Content
News | Radiology Business | April 24, 2019
April 24, 2019 — Imaging Technology News (ITN) was recently named the 2019 Jesse H.
Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.
Videos | RSNA | April 03, 2019
ITN Editor Dave Fornell takes a tour of some of the most interesting new medical imaging technologies displa
NIH Study of Brain Energy Patterns Provides New Insights into Alcohol Effects

NIH scientists present a new method for combining measures of brain activity (left) and glucose consumption (right) to study regional specialization and to better understand the effects of alcohol on the human brain. Image courtesy of Ehsan Shokri-Kojori, Ph.D., of NIAAA.

News | Neuro Imaging | March 22, 2019
March 22, 2019 — Assessing the patterns of energy use and neuronal activity simultaneously in the human brain improve
Book Chapter Reports on Fonar Upright MRI for Hydrocephalus Imaging

Rotary misalignment of atlas (C1) and axis (C2). Image courtesy of Scott Rosa, DC, BCAO.

News | Magnetic Resonance Imaging (MRI) | March 20, 2019
Fonar Corp. reported publication of a chapter where the physician-author-researchers utilized the Fonar Upright Multi-...
Non-Contrast MRI Effective in Monitoring MS Patients
News | Neuro Imaging | March 18, 2019
Brain magnetic resonance imaging (MRI) without contrast agent is just as effective as the contrast-enhanced approach...