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- Title
Relationship between the Mandibular Inferior Cortical Bone Thickness and The Second Cervical Vertebra Density in Women Relative to Menopause Using Cone-Beam Computed Tomography.
- Authors
Sepehri, Taraneh; Jafari-Pozve, Nasim; Arianezhad, S. Marjan; Aryanezha, Seyed Sasan
- Abstract
Objectives This study aimed to assess the association between the second cervical vertebra (C2) density and the mandibular inferior cortical bone thickness at the mental foramen in women before and after menopause on cone-beam computed tomography (CBCT) scan as a predictor for the risk of osteoporosis. Methods This retrospective cross-sectional study analyzed 176 CBCT scans from a sample of 88 post-menopausal women and 88 pre-menopausal women. The thickness of the mandibular inferior cortical bone was assessed using cross-sectional CBCT images at the mental foramen, a measurement referred to as the mental index (MI), using the NNT viewer software. Additionally, the density of the C2 vertebra was measured on both coronal and axial CBCT sections. The collected data were then analyzed using the independent t-test, ANOVA, Tukey’s test, and Pearson’s correlation test, with a significance level set at α=0.05. Results No significant difference was found in the mean density of the C2 vertebra or the mean MI between post-menopausal and pre-menopausal women. However, a significant correlation was found between the C2 density and MI in all women (r=0.445, P<0.001) and also in pre-menopausal women (r=0.704, P<0.001); this correlation was more pronounced in younger age groups. Conclusion The standalone evaluation of CBCT is not recommended for predicting the risk of osteoporosis. The relationship between C2 density and mandibular inferior cortical bone thickness may be more applicable in younger women.
- Subjects
CERVICAL vertebrae; SPECIFIC gravity; PEARSON correlation (Statistics); CONE beam computed tomography; MENTAL foramen; COMPACT bone; VERTEBRAE
- Publication
Journal of Dental School, Shahid Beheshti University of Medical Sciences, 2023, Vol 41, Issue 2, p69
- ISSN
2645-4351
- Publication type
Article
- DOI
10.22037/jds.v41i2.44061