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The Efficacy of Metal Artifact Reduction (Mar) Algorithm in Cone-Beam Computed Tomography on the Diagnostic Accuracy of Fenestration and Dehiscence Around Dental Implants Publisher Pubmed



Sheikhi M1 ; Behfarnia P2 ; Mostajabi M3 ; Nasri N4
Authors

Source: Journal of Periodontology Published:2020


Abstract

Background: The aim of the present study was to investigate the impact of metal artifact reduction (MAR) algorithm of cone-beam computed tomography (CBCT) on the diagnostic accuracy of fenestration and dehiscence around dental implants. Methods: Twenty-three dental implants were placed adjacent to the dehiscence and 23 adjacent to the fenestration defects on bovine bone blocks. The blocks were scanned with CBCT unit in two modes, with and without MAR algorithm. The area under the receiver operator characteristic (ROC) curves (Az value), specificity, sensitivity, positive predictive value, negative predictive value, and accuracy were determined for all modes. Results: For both defects, the Az values were higher in off MAR condition. The values of sensitivity, positive predictive value, negative predictive value, and accuracy, were higher in off MAR condition for both defects. However, the specificity in both defects in the two modes was equal. Conclusion: The MAR algorithm in CBCT unit may not be helpful in increasing the diagnostic accuracy of fenestration and dehiscence around dental implants. © John Wiley and Sons Inc. All rights reserved.
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