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

Authors :
Martins, Luciano Augusto Cano
Brasil, Danieli Moura
Freitas, Deborah Queiroz
Oliveira, Matheus L.
Source :
Imaging Science in Dentistry; Mar2023, Vol. 53 Issue 1, p61-67, 7p
Publication Year :
2023

Abstract

Purpose: The aim of this study was to objectively detect simulated tooth ankylosis using a novel method involving cone-beam computed tomography (CBCT). Materials and Methods: 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 post hoc test (α=0.05). Results: The internal area of the parabolas of all non-ankylosed regions was significantly higher than that of the ankylosed regions (P<0.05). Contrast enhancement led to a significantly greater internal area of the parabolas of nonankylosed regions (P<0.05). Overall, voxel size and mA did not significantly influence the internal area of the parabolas (P>0.05). Conclusion: The proposed novel method revealed a relevant degree of applicability in the detection of simulated tooth ankylosis; increased image contrast led to greater detectability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
22337822
Volume :
53
Issue :
1
Database :
Complementary Index
Journal :
Imaging Science in Dentistry
Publication Type :
Academic Journal
Accession number :
163122647
Full Text :
https://doi.org/10.5624/isd.20220186