Selecting regions of interest on intraoral radiographs for the prediction of bone mineral density

Wil G M Geraets, J. G C Verheij, P. F. Van Der Stelt, K. Horner, C. Lindh, K. Nicopoulou-Karayianni, R. Jacobs, E. J. Marjanovic, J. E. Adams, H. Devlin

    Research output: Contribution to journalArticlepeer-review


    Objectives: A previous study showed that the trabecular pattern on dental radiographs correlates with femoral and spinal bone mineral density (BMD). The objective of this study was to determine if the correlation is affected by the size and location of the region of interest (ROI). Methods: In a European research project on osteoporosis, BMD was measured at the left hip and the lumbar spine of 525 women. From all subjects, intraoral radiographs were made of the premolar region in the upper and lower jaws. Two ROIs were indicated manually on each scanned image. The smallest region involved only trabecular bone and the largest also included parts of the neighbouring teeth. The ROIs were subjected to automatic image analysis, yielding 26 measurements per ROI. Stepwise linear regression was used to predict femoral and spinal BMD. Results: Inner and outer regions predicted BMD equally well. The radiographs of lower and upper jaw also predicted BMD equally well. Combining inner and outer regions did not improve the prediction of femoral and spinal BMD, but combining lower and upper jaws did. Conclusions: This study shows that it is possible to include parts of neighbouring teeth in the ROI used to assess the trabecular pattern and predict BMD. This simplifies the process of selecting the ROIs because no efforts have to be made to exclude neighbouring teeth. Combining ROIs of lower and upper jaws significantly improves the prediction of BMD. © 2008 The British Institute of Radiology.
    Original languageEnglish
    Pages (from-to)375-379
    Number of pages4
    JournalDentomaxillofacial Radiology
    Issue number7
    Publication statusPublished - Oct 2008


    • Bone mineral density
    • Dental radiographs
    • Image processing
    • Region of interest


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