Efficacy of a cone beam computed tomography metal artifact reduction algorithm for the detection of peri-implant fenestrations and dehiscences

The efficacy of metal artifact reduction (MAR) algorithm in cone‐beam computed tomography on the diagnostic accuracy of fenestration and dehiscence around dental implants

“…In the oral cavity, dental implants and their related artifacts can affect image quality and impair the diagnosis of bony defects such as peri‐implant fenestrations and dehiscences. Several ways of reducing such artifacts have been studied including the use of anti‐scatter guard, small field of view, adjustment of exposure factors, and artifact reduction algorithms . However; the present study revealed that the MAR algorithm may not improve of detection of fenestration and dehiscence around dental implants.…”

“…In the present study, the intra‐observer and inter‐observer agreements were good to excellent. In a similar study conducted by de‐Azevedo‐Vaz et al . that investigated the preimplants dehiscences and fenestrations into bovine ribs, moderate to good intraobserver agreement (0.56 to 0.62 for fenestrations and 0.40 to 0.47 for dehiscences), and moderate to excellent interobserver agreement (0.53 to 0.77 and 0.40 to 0.47 for fenestrations and dehiscences respectively) were reported.…”

“…In the present study, the Az value to detect the fenestration was between 0.82 to 0.97 and 0.83 to 0.94 for dehiscence diagnosis and in most of the readings the Az values were higher for fenestration. In the de‐Azevedo‐Vaz et al . the means of Az value were higher for fenestration (0.79 to 0.81) than dehiscence (0.49 to 0.59).…”

“…that investigated the preimplants dehiscences and fenestrations into bovine ribs, moderate to good intraobserver agreement (0.56 to 0.62 for fenestrations and 0.40 to 0.47 for dehiscences), and moderate to excellent interobserver agreement (0.53 to 0.77 and 0.40 to 0.47 for fenestrations and dehiscences respectively) were reported. In addition to this factor, the defect size, voxel size, the CBCT unit and the MAR algorithm used and also the radiologist experiences are the factors that may be effective on the intra/inter‐observer agreements. In general, it seems that CBCT images have a good reliability in this respect.…”

“…Metal artifact reduction (MAR) algorithm has been introduced as a post‐processing step during the image reconstruction. However, there has been scarce research on the effect of MAR algorithm on the diagnosis of fenestration and dehiscence around the dental implant . Therefore, the aim of the present study was to investigate the efficacy of MAR Algorithm in the CBCT unit on the diagnostic accuracy of fenestration and dehiscence around dental implants.…”