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Similar Publications
Quantitative MRI outcome measures in CMT1A using automated lower limb muscle segmentation.
J Neurol Neurosurg Psychiatry
May 2024
Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, London, UK
Article Synopsis
- Researchers studied how lower limb MRI scans can help track changes in patients with Charcot-Marie-Tooth disease 1A (CMT1A).
- They tested a new AI tool that automatically analyzes muscle images, making the process quicker and easier than doing it by hand.
- The results showed that the AI tool was fast and accurate, confirming that calf muscle fat levels increased in CMT1A patients over time.
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