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Title: Prediction of osteoporosis with dental radiographs and age
Authors: Verheij, J G C ×
Geraets, W G M
van der Stelt, P F
Horner, K
Lindh, C
Nicopoulou-Karayianni, K
Jacobs, Reinhilde
Marjanovic, E J
Adams, J E
Devlin, H #
Issue Date: Oct-2009
Publisher: British Institute of Radiology
Series Title: Dentomaxillofacial Radiology vol:38 issue:7 pages:431-437
Abstract: OBJECTIVES: In this study age and the trabecular pattern present on dental radiographs were used to predict the presence of osteoporosis. The objective was to evaluate the contribution of the trabecular pattern to the prediction. METHODS: In this project, 671 women between 45 and 71 years of age were recruited. Medical history was obtained and dental radiographs were made. Bone mineral density (BMD) was measured at three sites to assess the presence of osteoporosis according to the World Health Organization criteria. The radiographs were subjected to image analysis methods yielding measurements of the trabecular pattern. Thereafter, discriminant analysis was used to predict the presence of osteoporosis by means of the trabecular pattern and age. Sensitivity and specificity of age and the trabecular pattern were compared. Also, it was checked whether the inclusion of the trabecular pattern improved the sensitivity and specificity that were obtained when only age was used as the predictor. RESULTS: The sensitivity and specificity of the trabecular pattern present on dental radiographs were almost equal to those of age. However, combining age with the trabecular pattern increased the sensitivity from 0.71 to 0.75 and the specificity from 0.72 to 0.78; the latter increase was statistically significant. CONCLUSIONS: The trabecular pattern predicts the presence of osteoporosis just as well as age does. When combining the trabecular pattern with age, the sensitivity and specificity increased. Only the latter increase was statistically significant.
URI: 
ISSN: 0250-832X
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Oral Imaging
× corresponding author
# (joint) last author

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