Analysis on optimal cut-off values for prediction of lumbar spinal stenosis using lumbar pedicle thickness / 中国基层医药

ABSTRACT

Objective:To investigate the optimal cut-off values for the prediction of lumbar spinal stenosis using lumbar pedicle thickness.Methods:The clinical data of 64 patients with lumbar spinal stenosis (patient group) admitted to Binzhou Center Hospital from November 2019 to April 2021 and 48 healthy volunteers (healthy control group) who concurrently received routine physical examination involving lumbar spine MRI examination in the same hospital were retrospectively analyzed. Lumbar pedicle thickness was measured on T 2 weighted images of the L 5 vertebral body in the axial projection. Lumbar pedicle thickness was compared between groups using the independent sample t-test. The relationship between lumbar pedicle thickness and age change was analyzed using a one-way analysis of variance. The efficacy of lumbar pedicle thickness in the diagnosis of lumbar spinal stenosis was evaluated using the receiver operating characteristic (ROC) curve, optimal cut-off values, sensitivity, specificity, and the area under the ROC curve. Results:There was no significant correlation between lumbar pedicle thickness and age change ( P > 0.05). Lumbar pedicle thickness of patients with lumbar spinal stenosis was significantly higher than that of healthy controls [(13.25 ± 1.73) mm vs. (8.54 ± 1.88) mm, t = 13.75, P < 0.05]. ROC curve results showed that the optimal cut-off value was 10.50 mm, with a sensitivity of 95.3% and a specificity of 85.4. The area under the ROC curve was 0.963 (95% CI 0.928-0.998). Conclusion:The increase in lumbar pedicle thickness is related to the increase in the incidence of lumbar spinal stenosis. Lumbar pedicle thickness is an accurate, objective, and clear morphological parameter for the prediction of lumbar spinal stenosis. Application of lumbar pedicle thickness to predict lumbar spinal stenosis is innovative and scientific.