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Prediction of Sacral Screw Loosening after Lumbosacral Surgeries Involving Rigid Fixation of Sacral Bone Using Preoperative Computed Tomography Scans.
- Source :
-
BioMed Research International . 5/23/2022, p1-6. 6p. - Publication Year :
- 2022
-
Abstract
- Objective. To find a preoperative computed tomography-based method to predict the incidence of sacral screw loosening and assist surgical planning. Methods. Surgically treated patients for degenerative lumbosacral disorders with rigid pedicle screw fixation of patients with L5-S1 vertebra in our center from January 2016 to January 2021 were retrospectively included in the current study. CT scan attenuation of the horizontal plane of the sacrum was measured with Hounsfield units (HU). Postoperative X-ray tests were used to diagnose screw loosening. The data was analyzed by independent sample t -tests, X 2 analysis, Pearson correlation analysis, and ROC curve analysis. Results. A total of 162 (114 male, 48 female, average age 63.7 ± 7.3 years) patients were included in the final analysis. Significant differences were found between the screw loosening group and nonloosening group concerning the HU value of the sacrum at the horizontal plane (P < 0.01). In ROC curve analysis, AUC was 0.674 (95% CI: 0.592-0.756). A cutoff of 200 HU provided 64.8% sensitivity and 62.4% specificity, and a cutoff of 150 HU provided 90.2% sensitivity. Conclusions. Analyzing 162 patients with at least 12 months of follow-up, we propose cutoff CT attenuation values of 200 HU and 150 HU to take moderate and radical measures of screw augmentation to prevent screw loosening in the sacral bone. [ABSTRACT FROM AUTHOR]
- Subjects :
- *LUMBAR vertebrae surgery
*PREOPERATIVE care
*X-rays
*ORTHOPEDIC implants
*PREDICTIVE tests
*CONFIDENCE intervals
*RETROSPECTIVE studies
*T-test (Statistics)
*PEARSON correlation (Statistics)
*FRACTURE fixation
*CHI-squared test
*COMPUTED tomography
*RECEIVER operating characteristic curves
*SENSITIVITY & specificity (Statistics)
Subjects
Details
- Language :
- English
- ISSN :
- 23146133
- Database :
- Academic Search Index
- Journal :
- BioMed Research International
- Publication Type :
- Academic Journal
- Accession number :
- 157028817
- Full Text :
- https://doi.org/10.1155/2022/7123139