Abstract

Context: Early detection of peri-implant bone defects is highly important to prevent further bone loss and implant failure. Aims: This study aimed to assess the diagnostic accuracy of three cone-beam computed tomography (CBCT) systems and periapical radiography for detection of fenestration around dental implants. Methods: Thirty-one titanium implants were placed in the bovine ribs, in which peri-implant fenestration were simulated. Using a round fissure bur, fenestration defects were created in the apical-third region of implants. CBCT and PA radiographs were obtained before and after creating the defects. The results were analyzed using Chi-square test; kappa coefficient; Cochran's Q-test; McNemar's test; and sensitivity, specificity, positive predictive value, and negative predictive value; and receiver operating characteristic curve. Results: A significant agreement was noted between the two observers in the detection of defect-free samples in all imaging systems (P0.05). The results showed no significant difference among the four imaging systems in detection of defect-free samples while the difference was significant among the four groups for detection of defects (P

Details

Title
Diagnostic accuracy of three cone beam computed tomography systems and periapical radiography for detection of fenestration around dental implants
Author
Eskandarloo, Amir 1 ; Saati, Samira 1 ; Ardakani, Mahbubeh 2 ; Jamalpour, Mohamadreza 3 ; Naser Gholi Mezerji 4 ; Akheshteh, Vahid 5 

 Department of Oral and Maxillofacial Radiology, Hamadan University of Medical Sciences, Hamadan 
 Department of Oral and Maxillofacial Radiology, Rafsanjan University, Rafsanjan 
 Department of Oral and Maxillofacial Surgery, Hamadan University of Medical Sciences, Hamadan 
 Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan 
 Department of Oral and Maxillofacial Radiology, School of Dentistry, Hamadan University of Medical Sciences, Hamadan 
Pages
376-381
Publication year
2018
Publication date
Jul/Sep 2018
Publisher
Medknow Publications & Media Pvt. Ltd.
ISSN
0976237X
e-ISSN
09762361
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2112146955
Copyright
© 2018. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.