Romanian Journal of Oral Rehabilitation 2012,Numarul 1 Mandibular Cortically Thickness as Indicator in Osteoporosis Screening

Mandibular Cortically Thickness as Indicator in Osteoporosis Screening

Alexandru Georgescu, Horia Traian Dumitriu

Systemic bone density variations have also echoed in maxillary bones, those being affected by osteoporosis with rest of the skeleton and radiological changes in their morphology are identifiable with panoramic radiographs. Purpose Correlation between assessments of age in women patients with the presence and the level of osteoporosis degree, and also with the impaired level of osseous edge at mandible. Material and methods In this study we selected two groups: first group study consisted in 12 postmenopausal women patients, aged between 54 and 71 years, diagnosed with osteoporosis and the second group, as group control, included 13 women patients, aged between 55 and 78 years, also in postmenopausal status health, but without osteoporosis. The osteoporosis diagnosis was based on non-invasive methods (ultrasonography at distal phalanges of the hand), and other laboratory investigations which results were significant in the quantification of bone mineral density. Clinical periodontal health indicators assessments were recorded in datasheets, by medical transcriptions, and all cases were submitted for panoramic digital radiographs examination. Correlations between age woman’s’ patient, the presence of osteoporosis and the impaired level of osseous edge at mandible were analysed using linear regression and a t-test (two-tailored). Results and discussion After mandible cortical thickness measurements (MCT) for each patient in both study groups, we’ve obtained the thickness average at 3.5 mm (0.4 OR) for control group (group 1) and thickness average at 2.3 mm (0.5OR) for the group with osteoporosis (group 2), and each group could be classified in one of the erosion categories C1 – C3 in infraosseous mandible basal bone. Conclusions Determination for MCT can be used as a method in patients’ selection with postmenopausal osteoporosis or prone to osteopenia.

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