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

Authors :
Yang Xiong
Ying‐Li Yang
Xing Yu
Feng‐Xian Wang
Yong‐Dong Yang
Ding‐Yan Zhao
He Zhao
Chuan‐Hong Li
Kai‐Tan Yang
Source :
JOR Spine, Vol 4, Iss 4, Pp n/a-n/a (2021)
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

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

Details

Language :
English
ISSN :
25721143
Volume :
4
Issue :
4
Database :
Directory of Open Access Journals
Journal :
JOR Spine
Publication Type :
Academic Journal
Accession number :
edsdoj.3d0aaff22be94ccc8ffc133031f8a805
Document Type :
article
Full Text :
https://doi.org/10.1002/jsp2.1185