Using the cobweb classification system as a digital location system for the neurologic compression in cervical degenerative disease

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Abstract

Objective: To provide the cobweb classification system (CCS) for the precise digital location and description of the neurological compression in cervical degenerative disease (CDD), and the reliability and the clinical subgroup analysis of the system were tested and analyzed. Methods: The CCS consisted of three parts: compression zones (1-12), degrees (a, b) and ossification (s, m, h). Computerized tomography (CT) and magnetic resonance imaging (MRI) images from 238 CDD patients were reviewed. All compression cases were classified by five independent reviewers with varied clinical experience in spine surgery. The reliability of the CCS was tested by calculating the kappa (κ) statistics value. Finally, 74 patients with anterior cervical surgery treatment were enrolled for the clinical subgroup analysis. Results: For the small compression, including single and double compression zones, there was a good interobserver reliability between the reviewers (κ coefficient =.855, P

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Xiong, Y., Yang, Y. L., Yu, X., Wang, F. X., Yang, Y. D., Zhao, D. Y., … Yang, K. T. (2021). Using the cobweb classification system as a digital location system for the neurologic compression in cervical degenerative disease. JOR Spine, 4(4). https://doi.org/10.1002/jsp2.1185

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