How Can MRI Measurements be Improved in Trials?

Stuart SchlossmanMRI, Multiple Sclerosis

shutterstock_177026120A study from German researchers might help to determine how multiple sclerosis is assessed in treatment trials. Published February 6 in the journal PLoS ONE, the study is titled “Regression to the Mean and Predictors of MRI Disease Activity in RRMS Placebo Cohorts – Is There a Place for Baseline-to-Treatment Studies in MS?
Multiple sclerosis is one of the most common degenerative neurological conditions that affects young adults worldwide. MS can occur at any age, although generally diagnosis occurs between the ages of 20 and 40. The disease is caused by an autoimmune response — an attack on the myelin that wraps around nerve cells and allows them to conduct impulses. This results in unpredictable damage to the nervous system, known as lesions. Symptoms such as loss of movement, numbness, tingling, pain, loss of eyesight and cognitive impairment may result.
In Phase 2 clinical trials for multiple sclerosis treatments, relapsing-remitting multiple sclerosis is conventionally assessed by observing gadolinium-enhancing (GD+) lesions and T2 lesions through the use of magnetic resonance imaging (MRI). A GD+ lesion is a bright spot on the MRI that shows that there is damage to the nervous system. T2 lesions are also bright spots showing damage, and this is a common way for looking at the loss of myelin in multiple sclerosis.
Not very much is known about what can predict lesion development, which could be crucial to understand what treatments work in these studies. Specifically, a measurement known as “regression-to-the-mean” is important. This is a statistical method that accounts for measurements that are extremely variable, such as the unpredictable lesions found in multiple sclerosis.
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