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Comparison of the influence of FOV sizes and different voxel resolutions for the assessment of periodontal defects
Authors:M E Kolsuz  N Bagis  K Orhan  H Avsever  K ? Demiralp
Affiliation:1.Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara, Turkey;2.Department of Periodontology, Faculty of Dentistry, Ankara University, Ankara, Turkey;3.Department of Dentomaxillofacial Radiology, Division of Dentistry, GATA, Ankara, Turkey;4.Ministry of Health, Public Hospitals Agency of Turkey, Bahcelievler, Ankara, Turkey
Abstract:

Objectives:

This study assessed the influence of different voxel resolutions of two different CBCT units on the in vitro detection of periodontal defects.

Methods:

The study used 12 dry skulls with a maxilla and a mandible. Artificial defects (dehiscence, tunnel, fenestration) were separately created on the anterior, premolar and molar teeth using burrs. A total of 14 dehiscences, 13 fenestrations, 8 tunnels and 16 non-defect controls were used in the study. Images were obtained from two different CBCT units in six voxel sizes (voxel size: 0.080, 0.100, 0.125, 0.150, 0.160 and 0.200 mm3). Kappa coefficients were calculated to assess both intra- and interobserver agreements for each image set.

Results:

Overall intraobserver kappa coefficients ranged between 0.978 and 0.973 for the 0.080-mm3 images and between 0.751 and 0.737 for the 0.160-mm3 images, suggesting notably high intraobserver agreement for detecting periodontal defects. CBCT performed significantly better at detecting fenestrations (p < 0.05) than tunnel and dehiscence defects. No statistically significant difference was found between the detection of dehiscence and tunnel defects (p > 0.05).

Conclusions:

A voxel size of 0.150 mm3 was identified as the cut-off point for overall detection of periodontal defects. CBCT should be considered the most reliable imaging modality for the diagnosis of periodontal defects.
Keywords:diagnosis   cone beam computed tomography   radiology   periodontal diseases   voxel size
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