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
Autor: | Cemal Atakan, Dervis Yilmaz, Seval Bayrak, Cansu Görürgöz, Kaan Orhan, Onur Odabaşı, Emine Şebnem Kurşun Çakmak |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Cone beam computed tomography
genetic structures Dehiscence Artifact reduction Pathology and Forensic Medicine 03 medical and health sciences 0302 clinical medicine Image noise Animals In vitro study Medicine Radiology Nuclear Medicine and imaging Dentistry (miscellaneous) Dental Implants Sheep business.industry 030206 dentistry Filter (signal processing) Cone-Beam Computed Tomography equipment and supplies 030220 oncology & carcinogenesis Implant types Surgery Zirconium Implant Oral Surgery Artifacts business Algorithm Algorithms |
Popis: | Objectives 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. |
Databáze: | OpenAIRE |
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