CT three-dimensional reconstruction evaluates pedicle screw position classification: reliability analysis

doi:10.3969/j.issn.2095-4344.2015.44.022

Abstract

Abstract:

BACKGROUND: In recent years, CT has been gradually adopted to evaluate the pedicle screw position, but there are less reports about the reliability of the application of CT three-dimensional reconstruction evaluating pedicle screw position.

OBJECTIVE: To investigate the reliability of the application of CT three-dimensional reconstruction evaluating pedicle screw position classification.

METHODS: Twenty-seven patients with pedicle screw placement were included. CT scan was conducted within one week after embedding. Two-dimensional and three-dimensional CT image data were randomly observed by two professional orthopedists. Screw position was performed classification according to Rao Grading method. Interobserver reliability and intraobserver reliability were evaluated using consistency test.

RESULTS AND CONCLUSION: One hundred and sixteen pedicle screws were inserted in 27 patients. The grading determination of the screw position using two-dimensional CT images showed that the interobserver reliability and intraobserver reliability were highly consistent. Kappa coefficients were respectively 0.656 and 0.631. The grading determination of the screw position using three-dimensional reconstruction CT images showed that the interobserver reliability and intraobserver reliability were both strongest. Kappa coefficients were respectively 0.833 and 0.863. These results show that the reliability of applying CT three-dimensional reconstruction on evaluating pedicle screw position is high, which proves a certain clinical application value.
中国组织工程研究杂志出版内容重点：人工关节；骨植入物；脊柱；骨折；内固定；数字化骨科；组织工程

Key words: Internal Fixators, Image Processing, Computer-Assisted, Thoracic Vertebrae, Lumbar Vertebrae, Tissue Engineering

Yan Bing-shan, Yin Wang-ping, Ni Miao-zhong, Chen Yan-chao, Dong Jia-chun. CT three-dimensional reconstruction evaluates pedicle screw position classification: reliability analysis[J]. Chinese Journal of Tissue Engineering Research, 2015, 19(44): 7172-7176.

Figures/Tables 5

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