Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/318987
Type: research-article
Title: Validation of cone-beam computed tomography as a predictor of osteoporosis using the Klemetti classification
Title Alternative: 
Author: ALONSO
Maria Beatriz Carrazzone Cal; VASCONCELOS
Taruska Ventorini; LOPES
Luciana Jácome; WATANABE
Plauto Christopher Aranha; FREITAS
Deborah Queiroz
Abstract: This study aimed at evaluating the validity of cone-beam computed tomography (CBCT) for assessing mandibular bone quality using the Klemetti classification. The morphology of the endosteal mandibular cortex of 30 (60 hemi-mandibles) postmenopausal women between the ages of 45 and 80 years was evaluated based on the Klemetti classification in panoramic radiographs used as reference images. Afterwards, panoramic reconstruction and cross-sectional slices of CBCT examinations of these patients were analyzed and categorized according to the same classification. All the images were assessed by two oral radiologists. The McNemar-Bowker test compared the agreement between the CBCT images and the reference images. No differences were found between the diagnostic results based on panoramic radiography and panoramic reconstruction. However, the mean scores for the cross-sectional evaluation were higher, and the results, statistically different from the others. Based on the disagreement found between the panoramic radiographs and the CBCT cross-sectional slices, the Klemetti classification is not an adequate means of assessing bone quality with CBCT. On the other hand, the higher values found for the cross-sectional slices could be associated with better visibility on the CBCT images.
Citation: Brazilian Oral Research, 30, 12016.
Rights: aberto
Identifier DOI: 10.1590/1807-3107BOR-2016.vol30.0073
Address: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242016000100263
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File SizeFormat 
S1806-83242016000100263.pdf614.01 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.