Evaluation of a metal artifact reduction algorithm and an optimization filter in the estimation of peri-implant dehiscence defects by using cone beam computed tomography: an in-vitro study

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dc.authorid0000-0001-7771-048Xen_US
dc.authorid0000-0001-6768-0176en_US
dc.authorid0000-0003-0819-4578
dc.contributor.authorBayrak, Seval
dc.contributor.authorOrhan, Kaan
dc.contributor.authorÇakmak, Emine Şebnem Kurşun
dc.contributor.authorGörürgöz, Cansu
dc.contributor.authorOdabaşı, Onur
dc.contributor.authorYılmaz, Derviş
dc.contributor.authorAtakan, Cemal
dc.date.accessioned2021-06-23T19:54:00Z
dc.date.available2021-06-23T19:54:00Z
dc.date.issued2020
dc.departmentBAİBÜ, Diş Hekimliği Fakültesi, Ağız, Diş ve Çene Radyolojisi Ana Bilim Dalıen_US
dc.description.abstractObjectives. The aim of this study was to assess the effect of a metal artifact reduction (MAR) algorithm and the adaptive image noise optimizer (AINO) optimization filter in the detection of peri-implant dehiscences with cone beam computed tomography (CBCT). Study Design. Nine implants (3 zirconium, 3 titanium, and 3 zirconium-titanium) were placed in 3 sheep heads. Dehiscences were created on the buccal and lingual/palatal surfaces. A total of 9 defects and 9 controls with no defects were evaluated by 3 observers. Each sheep head was scanned 5 times with 4 scan modes; (1) without MAR/without AINO; (2) with MAR/without AINO; (3) without MAR/with AINO; and (4) with MAR/with AINO. Receiver operating characteristic analysis and weighted kappa coefficients were used to calculate diagnostic efficacy and intra- and interobserver agreements for each implant type and scan mode. Results. For all implant types, dehiscences were most accurately detected when both MAR and AINO were applied (P <= .045). Detection of dehiscences was more accurate with titanium implants (P <= .040). There were no significant differences in agreement among and between the observers. Conclusions. The use of both MAR and AINO enhanced the detection accuracy of artificially created dehiscences in proximity to implants. Their combined use is recommended for detecting peri-implant dehiscences.en_US
dc.identifier.doi10.1016/j.oooo.2020.02.005
dc.identifier.endpage216en_US
dc.identifier.issn2212-4403
dc.identifier.issn1528-395X
dc.identifier.issue2en_US
dc.identifier.pmid32197878en_US
dc.identifier.scopus2-s2.0-85081720090en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage209en_US
dc.identifier.urihttps://doi.org/10.1016/j.oooo.2020.02.005
dc.identifier.urihttps://hdl.handle.net/20.500.12491/10375
dc.identifier.volume130en_US
dc.identifier.wosWOS:000576167600018en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorBayrak, Seval
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofOral Surgery Oral Medicine Oral Pathology Oral Radiologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPeri-implanten_US
dc.titleEvaluation of a metal artifact reduction algorithm and an optimization filter in the estimation of peri-implant dehiscence defects by using cone beam computed tomography: an in-vitro studyen_US
dc.typeArticleen_US

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