Researchers developed an AI-enhanced method to detect previously invisible gray matter lesions in multiple sclerosis using MRI.
Key Details
- 1Gray matter lesions are crucial in MS progression but historically hard to detect on imaging.
- 2The team combined AI and post-processing techniques on MRI, including FLAIR2, T1/T2 ratio, and AI-derived double inversion recovery.
- 3They developed a new method called multimodal cortical lesion enhancement (MMCLE).
- 4A transformer-based semantic segmentation AI was used for automated lesion detection and delineation.
- 5The study analyzed MRI exams from the FDA regulatory ORATORIO clinical trial of Ocrelizumab.
Why It Matters
Improved detection of cortical lesions could transform MS diagnosis and monitoring, providing earlier and more accurate insight into disease progression and patient management. This exemplifies how AI can expand the clinical utility of existing MRI scans.
Source
Radiology Business
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