Publications by authors named "M-E Bellemare"
Article Synopsis
- The study evaluated an AI-based system for automatically segmenting muscles in CMT1A patients using quantitative MRI (qMRI), aiming to streamline the assessment of intramuscular fat fraction (FF) over one year.
- Results showed that AI segmentation accurately matched manual segmentation techniques, demonstrating significant FF progression in both thigh and leg muscles.
- The AI approach significantly reduced analysis time from 90 hours to just 10 hours, making it a promising tool for future therapeutic trials in CMT1A research.
Article Synopsis
- The study investigates the use of quantitative MRI (qMRI) to measure intramuscular fat fraction (FF) as a potential outcome for tracking changes in patients with CMT1A over time.
- A cohort of 24 patients underwent MRI scans at two different time points, allowing researchers to assess various muscle metrics and how these correspond to clinical severity scores.
- Results showed a significant increase in FF in thigh and leg muscles over one year, along with a decline in magnetization transfer ratio (MTR), while strong correlations were found between FF and clinical measures like muscle strength.
