Imaging Science in Dentistry

Korean Academy of Oral and Maxillofacial Radiology (대한영상치의학회)
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A novel method of objectively detecting tooth ankylosis using cone-beam computed tomography: A laboratory study

  • Luciano Augusto Cano Martins (Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas) ;
  • Danieli Moura Brasil (Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas) ;
  • Deborah Queiroz Freitas (Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas) ;
  • Matheus L Oliveira (Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas)
  • Received : 2022.10.18
  • Accepted : 2022.12.14
  • Published : 2023.03.31
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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 non-ankylosed 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.

Keywords

Acknowledgement

This study was financed in part by the Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior - Brazil(CAPES) - Finance Code 001.

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