Using MRI to measure thalamic atrophy in patients with clinically isolated syndrome can help predict which patients will develop multiple sclerosis.
Magnetic resonance images that measure thalamic atrophy and increase in ventricular size can help predict progression of multiple sclerosis, according to a study published online in the journal Radiology.
Looking for an association between the development of thalamic atrophy and conversion to clinically definite multiple sclerosis (MS), researchers from the Buffalo Neuroimaging Analysis Center at the University of Buffalo in New York used contrast-enhanced MRI to assess 216 patients with clinically isolated syndrome (CIS), an initial, short-term neurological episode. CIS affects approximately 85 percent of people with MS. The MRIs were performed at first appointment and then again as follow-up at six months, one year, and two years.
Results showed that over two years, 92 of the patients (46.6 percent) converted to clinically definite MS. Decreases in thalamic volume and increase in lateral ventricle volumes were the only MRI measures independently associated with the development of MS.
“First, these results show that atrophy of the thalamus is associated with MS,” lead author Robert Zivadinov, MD, PhD, said in a release. “Second, they show that thalamic atrophy is a better predictor of clinically definite MS than accumulation of T2-weighted and contrast-enhanced lesions.”
Looking at these measurements may help identify high-risk patients in future clinical trials, because thalamic atrophy is detectable at an early stage, Zivadinov explained.
“The next step is to look at where the lesions develop over two years with respect to the location of the atrophy,” he concluded. “Thalamic atrophy cannot be explained entirely by accumulation of lesions; there must be an independent component that leads to loss of thalamus.”
Enhancing Lesions on Breast MRI: Can an Updated Kaiser Scoring Model Improve Detection?
September 26th 2024The addition of parameters such as patient age, MIP sign and associated imaging features to the Kaiser score demonstrated a 95.6 percent AUC for breast cancer detection of enhancing lesions on breast MRI in recently published research.
MRI or Ultrasound for Evaluating Pelvic Endometriosis?: Seven Takeaways from a New Literature Review
September 13th 2024While noting the strength of MRI for complete staging of disease and ultrasound’s ability to provide local disease characterization, the authors of a new literature review suggest the two modalities offer comparable results for diagnosing pelvic endometriosis.
New Meta-Analysis Examines MRI Assessment for Treatment of Esophageal Cancer
September 12th 2024Diffusion-weighted MRI provided pooled sensitivity and specificity rates of 82 percent and 81 percent respectively for gauging patient response to concurrent chemoradiotherapy for esophageal cancer, according to new meta-analysis.