Reliability of three dimensional CT measurement of glenoid track in patients with recurrent anterior dislocation of shoulder.
10.12200/j.issn.1003-0034.2021.06.002
- Author:
Fei DAI
1
;
Jin-Song YANG
1
;
Qing ZHANG
1
;
Jun-Rong CHEN
1
;
Ming XIANG
1
Author Information
1. Department of Upper Limb, Sichuan Provincial Orthopaedic Hospital, Chengdu 610041, Sichuan, China.
- Publication Type:Journal Article
- Keywords:
Glenoid track;
Imaging, three-dimensional;
Shoulder dislocation;
Shoulder joint
- MeSH:
Humans;
Joint Instability;
Reproducibility of Results;
Shoulder;
Shoulder Dislocation;
Shoulder Joint;
Tomography, X-Ray Computed
- From:
China Journal of Orthopaedics and Traumatology
2021;34(6):492-496
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To evaluate the reliability and repeatability of three-dimensional (3D)-CT measurement of glenoid track.
METHODS:Glenoid and Hill-Sachs bone defects in 60 patients with recurrent anterior dislocation of the unilateral shoulder were evaluated by 3D-CT and analyzed by three independent observers(shoulder orthopedists) according to the Di Giacomo method. These injuries were classified to formulate a surgical protocol. All the patients were repeatedly measured 1 week later. Intraclass correlation coefficient (ICC) and coefficient of variation (COV) were used for reliability analysis.
RESULTS:Interobserver reliability was "very good" for both measurements of glenoid diameter and glenoid bone defects, and "good" for measurements of Hill-Sachs interval. Interobserver agreement was high on the assessment of the extent of the glenoid defect, and poor on track/off track assessment of the Hill-Sachs lesion. Intraobserver reliability for measurements of glenoid diameter, glenoid defect, and Hill-Sachs interval was "very good". The COV was 4.1% for glenoid diameter, 4.4% for glenoid defect, and 21.1% for Hill-Sachs interval.
CONCLUSION:The reliability and reproducibility of 3D-CT measurements of glenoid bone defects are good, but the assessment of humeral head bone defects shows large variability with poor reliability.
