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- Title
Effect of Different Cone Beam Computed Tomography Devices and Protocols on Image Quality for the Evaluation of Periodontal Structures.
- Authors
Dantas, Luciana Loyola; Araújo Dantas, Janaína; de Andrade Freitas Oliveira, Luciana Soares; Ventorini Vasconcelos, Taruska; Sampaio Neves, Frederico; Silva Souza, Daniel Adrian; Flores Campos, Paulo Sérgio; Scarfe, William C.; Crusoé Rocha Rebello, Iêda Margarida
- Abstract
The quality of Cone Beam Computed Tomography (CBCT) images is directly influenced by scanning and visualization protocols. Evaluate the subjective quality of the Cone Beam Computed Tomography (CBCT) image of different devices and protocols for diagnosing periodontal structures and correlate the findings with the contrast-to-noise ratio (CNR). One dry dentate mandible was scanned by six CBCT devices: Accuitomo 3D 170, CS 9000, CS 9300, Eagle 3D, i-CAT Classic, and Orthophos XG 3D. All CBCT devices were adjusted to provide a spatial resolution closest to 0.2 mm, and a FOV height limited to less than 100 mm. Cross-sectional images were evaluated randomly. The buccal bone coverage, the periodontal ligament space and the amount of image noise were assessed. The statistics were calculated based on a logistic regression model with the significance level set at 5%. Protocols with large FOVs demonstrated significantly lower image quality. No statistical differences were found regarding buccal bone coverage between the CBCT devices. The CNR showed the highest value for the Accuitomo 60mm x 60mm HiFi 180°, followed by the Accuitomo 60mm x 60mm HiFi 360°, and lower values for the i-Cat Classic and Orthophos XG 3D devices. Most protocols studied presented good image quality in evaluating the buccal bone coverage and periodontal ligament space. However, the exam with the lowest FOV of the Accuitomo 60mm x 60mm HiFi 180° device showed superiority concerning the others.
- Subjects
PERIODONTIUM; BONES; NOISE; MANDIBLE; CONTRAST media; MEDICAL protocols; QUALITATIVE research; DENTAL radiography; COMPUTED tomography; LOGISTIC regression analysis; PERIODONTICS
- Publication
Journal of Health Sciences (2447-8938), 2023, Vol 25, Issue 3, p129
- ISSN
2447-8938
- Publication type
Article
- DOI
10.17921/2447-8938.2023v25n3p129-136