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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
Author(s) -
Sheikhi Mahnaz,
Behfarnia Parichehr,
Mostajabi Mahdis,
Nasri Naeimeh
Publication year - 2020
Publication title -
journal of periodontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.036
H-Index - 156
eISSN - 1943-3670
pISSN - 0022-3492
DOI - 10.1002/jper.18-0433
Subject(s) - fenestration , cone beam computed tomography , dehiscence , predictive value , medicine , artifact (error) , reduction (mathematics) , receiver operating characteristic , smoothing , diagnostic accuracy , algorithm , computed tomography , dentistry , radiology , mathematics , computer science , surgery , computer vision , geometry
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.