Automated Analysis of Surface Roughness and Waviness in Vertebral Bodies by Computed Tomography: Implications for Device Design in Spine Surgery
This study presents an automated method to measure MSR and MSW of spinal vertebral bodies. These parameters could aid in simulating the interaction between interbody devices and vertebral bodies preoperatively to allow for optimization of device design to enhance osseous integration. Future work will explore the relationship between these measures and clinical outcomes, particularly fusion quality.
Authors
- Seth M. Meade (ORCID: https://orcid.org/0000-0002-8115-2262)
- Michael P. Steinmetz (ORCID: https://orcid.org/0000-0002-5992-705X)
- Erik I. Waldorff (ORCID: https://orcid.org/0000-0002-5268-3443)
- Swetha J. Sundar (ORCID: https://orcid.org/0009-0008-3905-1469)
- Assem A. Sultan (ORCID: https://orcid.org/0000-0003-0906-5962)
- Michael Shost (ORCID: https://orcid.org/0000-0003-1833-0342)
- Ghaith Habboub (ORCID: https://orcid.org/0000-0002-1959-5724)
- Gabrielle Scariano
- David T. Dudzinski
- Edward C. Benzel
- Thomas E. Mroz
- Ajit A. Krishnaney
Institutions
- Cleveland Clinic (US)
- University Hospitals of Cleveland (US)
- Cleveland Clinic Lerner College of Medicine (US)
- Children's Hospital Colorado (US)
- Cleveland Research (United States) (US)
- The Neurological Institute (US)
- Case Western Reserve University (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1016/j.wneu.2025.123951
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00