Selecting regions of interest on intraoral radiographs for the prediction of bone mineral densityShow others and affiliations
2008 (English)In: Dento-Maxillo-Facial Radiology, ISSN 0250-832X, E-ISSN 1476-542X, Vol. 37, no 7, p. 375-379Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
Oxford University Press (OUP) , 2008. Vol. 37, no 7, p. 375-379
Keywords [en]
dental radiographs, region of interest, image processing, bone mineral density
National Category
Dentistry
Identifiers
URN: urn:nbn:se:mau:diva-15527DOI: 10.1259/dmfr/29966973ISI: 000260169800002PubMedID: 18812598Scopus ID: 2-s2.0-54849420101Local ID: 6789OAI: oai:DiVA.org:mau-15527DiVA, id: diva2:1419049
2020-03-302020-03-302024-05-28Bibliographically approved