Spinal cord microstructure-based tissue classification in cervical myelopathy
Motivation: Degenerative cervical myelopathy (DCM) due to chronic compression is generally examined using qualitative imaging, which does not specify how tissue microstructure changes within the cord. Goal(s): To implement a clustering-based tissue classification framework to identify tissue classes in DCM spinal cord. Approach: A variant of a clustering framework was implemented to classify cervical cord tissue based on 3 quantitative MRI measures without spatial input in 25 participants with DCM and one healthy control. "Tissue microstructure maps" were created for each participant. Results: Cluster sizes of white matter-like tissue were significantly lower in immediate above-compression regions compared to the whole cord, indicating upstream damage. Impact: Cervical cord tissue was classified in people with degenerative cervical myelopathy based only on clustering quantitative MRI measures. Different proportions of tissue clusters were seen in regions immediately above compression sites compared to the entire imaged cord (C2-C5).
Authors
- Shannon Kolind (ORCID: https://orcid.org/0000-0003-1362-1968)
- Anthony Traboulsee (ORCID: https://orcid.org/0000-0002-0351-9639)
- Alex MacKay
- Sharada Balaji (ORCID: https://orcid.org/0000-0002-6232-8488)
- Nicolas Dea
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/1612
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00