Imad Barngkgei1, Easter Joury2, Ali Jawad3. 1. Oral Medicine Department, Faculty of Dentistry, Damascus University, Damascus, Syria. Electronic address: Imadbarn@gmail.com. 2. Assistant Professor of Dental Public Health and Oral Epidemiology, Oral Medicine Department, Faculty of Dentistry, Damascus University, Damascus, Syria; Centre for Oral Growth and Development, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom. 3. William Harvey Research Institute, Queen Mary University of London, London, United Kingdom; Royal London Hospital, London, United Kingdom.
Abstract
OBJECTIVES: To investigate the use of cone beam computed tomography (CBCT) for predicting osteoporosis based on the cervical vertebrae CBCT-derived radiographic density (RD) using the CBCT-viewer program. STUDY DESIGN: CBCT scans (WhiteFox, de Gotzen S.r.l device, distributed by Satelec-Acteon Group, Italy) and dual-energy X-ray absorptiometry examinations of 38 women who participated in an earlier investigation were examined. A coronal slice, subjectively determined from the cervical vertebrae, was selected and the RD as gray values for the first and second vertebrae, and the dens was calculated by using CBCT-viewer software (WhiteFox imaging). RESULTS: The CBCT-derived RD values of the dens and the left part of the first cervical vertebra showed the strongest correlation coefficients (r=0.7, 0.6; P<.001) and the highest sensitivity (76.9%, 70%), specificity (92%, 92.9%), and accuracy (90.8%, 86.4%) in predicting osteoporosis in the lumbar vertebrae and the femoral neck, respectively. CONCLUSIONS: CBCT-derived RD of cervical vertebrae can predict osteoporosis status using a CBCT-viewer program. This finding should be confirmed on other CBCT devices.
OBJECTIVES: To investigate the use of cone beam computed tomography (CBCT) for predicting osteoporosis based on the cervical vertebrae CBCT-derived radiographic density (RD) using the CBCT-viewer program. STUDY DESIGN: CBCT scans (WhiteFox, de Gotzen S.r.l device, distributed by Satelec-Acteon Group, Italy) and dual-energy X-ray absorptiometry examinations of 38 women who participated in an earlier investigation were examined. A coronal slice, subjectively determined from the cervical vertebrae, was selected and the RD as gray values for the first and second vertebrae, and the dens was calculated by using CBCT-viewer software (WhiteFox imaging). RESULTS: The CBCT-derived RD values of the dens and the left part of the first cervical vertebra showed the strongest correlation coefficients (r=0.7, 0.6; P<.001) and the highest sensitivity (76.9%, 70%), specificity (92%, 92.9%), and accuracy (90.8%, 86.4%) in predicting osteoporosis in the lumbar vertebrae and the femoral neck, respectively. CONCLUSIONS: CBCT-derived RD of cervical vertebrae can predict osteoporosis status using a CBCT-viewer program. This finding should be confirmed on other CBCT devices.
Authors: Eliete N S Guerra; Fabiana T Almeida; Fernanda V Bezerra; Paulo T D S Figueiredo; Maria A G Silva; Graziela De Luca Canto; Camila Pachêco-Pereira; André F Leite Journal: Dentomaxillofac Radiol Date: 2017-07-03 Impact factor: 2.419
Authors: Mohammad S Al-Zahrani; Eman Y Elfirt; Manea M Al-Ahmari; Ibrahim A Yamany; Maher A Alabdulkarim; Khalid H Zawawi Journal: J Clin Diagn Res Date: 2017-01-01
Authors: Bruno Fontenele Carvalho; Julia Gonçalves Koehne de Castro; Nilce Santos de Melo; Paulo Tadeu de Souza Figueiredo; Carla Ruffeil Moreira-Mesquita; Ana Patrícia de Paula; Rafael Sindeaux; André Ferreira Leite Journal: Imaging Sci Dent Date: 2022-01-13