A novel method of objectively detecting tooth ankylosis using cone-beam computed tomography: A laboratory study.

Cone-Beam Computed Tomography Diagnostic Imaging Imaging, Three-Dimensional Periodontal Ligament

Journal

Imaging science in dentistry
ISSN: 2233-7822
Titre abrégé: Imaging Sci Dent
Pays: Korea (South)
ID NLM: 101559249

Informations de publication

Date de publication:
Mar 2023
Historique:
received: 18 10 2022
revised: 12 12 2022
accepted: 14 12 2022
medline: 4 4 2023
entrez: 3 4 2023
pubmed: 4 4 2023
Statut: ppublish

Résumé

The aim of this study was to objectively detect simulated tooth ankylosis using a novel method involving cone-beam computed tomography (CBCT). Tooth ankylosis was simulated in single-rooted human permanent teeth, and CBCT scans were acquired at different current levels (5, 6.3, and 8 mA) and voxel sizes (0.08, 0.125, and 0.2). In axial reconstructions, a line of interest was perpendicularly placed over the periodontal ligament space of 21 ankylosed and 21 non-ankylosed regions, and the CBCT grey values of all voxels along the line of interest were plotted against their corresponding X-coordinates through a line graph to generate a profile. The image contrast was increased by 30% and 60% and the profile assessment was repeated. The internal area of the resulting parabolas was obtained from all images and compared between ankylosed and non-ankylosed regions under different contrast enhancement conditions, voxel sizes, and mA levels using multi-way analysis of variance with the Tukey The internal area of the parabolas of all non-ankylosed regions was significantly higher than that of the ankylosed regions ( The proposed novel method revealed a relevant degree of applicability in the detection of simulated tooth ankylosis; increased image contrast led to greater detectability.

Identifiants

pubmed: 37006786
doi: 10.5624/isd.20220186
pmc: PMC10060758
doi:

Types de publication

Journal Article

Langues

eng

Pagination

61-67

Informations de copyright

Copyright © 2023 by Korean Academy of Oral and Maxillofacial Radiology.

Déclaration de conflit d'intérêts

Conflict of Interest: None

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Auteurs

Luciano Augusto Cano Martins (LAC)

Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, SP, Brazil.

Danieli Moura Brasil (DM)

Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, SP, Brazil.

Deborah Queiroz Freitas (DQ)

Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, SP, Brazil.

Matheus L Oliveira (ML)

Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba, SP, Brazil.

Classifications MeSH