MindMoments: Consensus MRI Guidelines for Multiple Sclerosis
An interview with two experts to discuss newly released guidance for using standardized MRI protocols for patients with this condition.
This podcast was originally published on Diagnostic Imaging's sister publication, NeurologyLive.
In an exclusive interview, Scott D. Newsome, D.O., president of the Consortium of Multiple Sclerosis Centers (CMSC), director of Neurosciences Consultation and Infusion Center at Green Spring Station, and associate professor of neurology at Johns Hopkins Medicine, and David Li M.D., FRCPC, professor of radiology, associate member of neurology, and director of Multiple Sclerosis/MRI Research Group at the University of British Columbia, discussed the recent consensus MRI guidelines for multiple sclerosis.
These guidelines were published by the Magnetic Resonance Imaging in Multiple Sclerosis study group, the CMSC working group, and the North America Imaging in Multiple Sclerosis Guidelines working group.
Related Content: New MRI Guidelines for Multiple Sclerosis Show Global Agreement
In particular, these guidelines provided recommendations on using standardized MRI protocols for both diagnostic and prognostic purposes. Previous guidelines were released in 2015 and 2016. They supported using axial single T2-weighted sequences, dual-echo T2-weighted spin-echo sequences, axial and sagittal T2-weighted fluid-attenuated inversion recovery (FLAIR), and contrast-enhanced axial T1-weighted sequences, preferably at 3T.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
The Reading Room: NYU Langone and Facebook AI Partner for Faster MRIs
November 17th 2020In this episode, Dr. Michael Recht, chair of the radiology department at New York University Langone Health, discusses the partnership between NYU and Facebook AI that has created an accelerated MRI that is four times as fast as a standard MRI.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.
Could Ultrafast MRI Enhance Detection of Malignant Foci for Breast Cancer?
April 10th 2025In a new study involving over 120 women, nearly two-thirds of whom had a family history of breast cancer, ultrafast MRI findings revealed a 5 percent increase in malignancy risk for each second increase in the difference between lesion and background parenchymal enhancement (BPE) time to enhancement (TTE).
