Abstract

BackgroundTo examine the influence of voxel sizes to detect of peri-implant fenestration defects on cone beam computed tomography (CBCT) images.Materials and methodsThis study performed with three sheep heads both maxilla and mandible and two types of dental implant type 1 zirconium implant (Zr40) (n = 6) and type 2 titanium implant (Ti22) (n = 10). A total of 14 peri-implant fenestrations (8 buccal surfaces, 6 palatal/lingual surface) were created while 18 surfaces (8 buccal, 10 palatal/lingual) were free of fenestrations. Three observers have evaluated the images of fenestration at each site. Images obtained with 0.75 mm3, 0.100 mm3, 0.150 mm3, 0.200 mm3, and 0.400 mm3 voxel sizes. For intra- and inter-observer agreements for each voxel size, Kappa coefficients were calculated.ResultsIntra- and inter-observer kappa values were the highest for 0.150 mm3, and the lowest in 0.75 mm3 and 0.400 mm3 voxel sizes for all types of implants. The highest area under the curve (AUC) values were found higher for the scan mode of 0.150 mm3, whereas lower AUC values were found for the voxel size for 0.400 mm3. Titanium implants had higher AUC values than zirconium with the statistical significance for all voxel sizes (p ≤ 0.05).ConclusionA voxel size of 0.150 mm3 can be used to detect peri-implant fenestration bone defects. CBCT is the most reliable diagnostic tool for peri-implant fenestration bone defects.

Highlights

  • Oral implants have become the most popular treatment choice for the replacement of missing teeth since introduced by Brånemark [1]

  • The Kappa values of intra-observer agreements for the titanium implants according to voxel sizes were the highest for 0.150 mm3, 0.200 mm3 voxel sizes for all observers while for the zirconium implants the kappa values were varied according to voxel sizes with the highest kappa value for 0.150 mm3 (Table 1)

  • The highest kappa value achieved for 0.150 mm3 voxel size with a statistically significant difference for all inter-observer evaluations (Table 2)

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Summary

Introduction

Oral implants have become the most popular treatment choice for the replacement of missing teeth since introduced by Brånemark [1]. The “gold standard” material is titanium and its biomedical alloys, due to its long-term clinical survival rates for endosseous dental implants [2,3,4]. Even though titanium is the gold standard for dental implants various materials involving gold, stainless steel, and cobalt-chromium have been used in the dental implant industry. These materials are withdrawn from the oral. The most important issue is to have a sufficient amount of cortical bone around the implant because of the primary stability and osseointegration for the success of the implant treatment [11]. Inadequate cortical plate or amount of the bone revealed the risk of bone defects such as fenestration and dehiscence around the. To examine the influence of voxel sizes to detect of peri-implant fenestration defects on cone beam computed tomography (CBCT) images

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