الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Based on the knowledge of the level of participation of many systemic factors in the etiology of periodontal disease, osteoporosis is considered to be one of these factors. Furthermore, with aging BMD decreases in all skeletal sites including the jaws. However, conflicting results highlight the controversy of whether a causal relationship between systemic bone loss and various oral conditions is present or not. Therefore, the present study was designed to evaluate the relationship between osteoporosis and oral bone loss and also to identify clinical findings and radiographic predictors of osteoporosis using a computer – controlled analysis. The study was carried out on forty females with an age ranges from 45-65 years. All the participants underwent BMD measurement of both the distal forearm and body of the mandible by means of DEXA. Furthering, panoramic and bitewing radiographs were taken for all the subjects at the time of DEXA measurements. These radiographs were digitized to measure the MCW and assess the BQI in panoramic radiographs. Digitized bitewing radiographs were also used to detect the integrity of alveolar bone crest and alveolar BMD using the gray level scale. In addition to estrogen level analysis, periodontal measurement of the clinical attachment loss, tooth mobility and the number of tooth loss were evaluated. The results of this study demonstrated an association between low skeletal BMD or osteoporosis and each of mandibular BMD, alveolar BMD, integrity of alveolar bone crest, MCW, BQI and clinical attachment loss. Also, an association was found between the estrogen level and each of mandibular BMD, MCW, BQI, alveolar BMD, integrity of alveolar bone loss, and clinical attachment loss. These parameters could discriminate and identify women with low BMD with a relatively high accuracy for the mandibular BMD followed in order by BQI, MCW, clinical attachment loss, alveolar BMD, tooth mobility and integrity of alveolar bone crest. This multivariable approach was highly suggestive of osteoporosis and could be useful in screening of low skeletal BMD as well as osteoporosis risk.