Semiautomated Pipeline Effectively Assesses Severity and Monitor Disease Progression in Compressed Spinal Cord of Degenerative Cervical Myelopathy Patients
These quantitative measures give clinicians easily interpretable data on the extent of spinal cord injury, even in regions without obvious compression. This enables a comprehensive understanding of DCM pathophysiology. By eliminating the subjectivity of manual segmentation and accounting for intersubject and intrasubject variability, this approach supports consistent cross-subject comparisons and is poised to reshape how clinicians assess and manage DCM.
Authors
- Fauziyya Muhammad (ORCID: https://orcid.org/0000-0003-0028-0375)
- Kenneth A. Weber (ORCID: https://orcid.org/0000-0002-0916-9174)
- Sandrine Bédard (ORCID: https://orcid.org/0000-0001-9859-1133)
- Grace Haynes (ORCID: https://orcid.org/0000-0002-4862-0554)
- Zachary A. Smith (ORCID: https://orcid.org/0000-0003-2130-8592)
Institutions
- Stanford Medicine (US)
- Polytechnique Montréal (CA)
- University of Oklahoma Health Sciences Center (US)
- University of Oklahoma (US)
Publication Details
- Journal
- Neurosurgery Open
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1227/neuprac.0000000000000138
- Citations
- 1
- Primary Topic
- Cervical and Thoracic Myelopathy
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- NIH Blueprint for Neuroscience Research