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CBCT-based assessment of root canal treatment using micro-CT reference images

  • Lamira, Alessando (Department of Restorative Dentistry, School of Dentistry of Ribeirao Preto, University of Sao Paulo) ;
  • Mazzi-Chaves, Jardel Francisco (Department of Restorative Dentistry, School of Dentistry of Ribeirao Preto, University of Sao Paulo) ;
  • Nicolielo, Laura Ferreira Pinheiro (OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, University Hospitals Leuven) ;
  • Leoni, Graziela Bianchi (Faculty of Dentistry, University of Ribeirao Preto) ;
  • Silva-Sousa, Alice Correa (Department of Restorative Dentistry, School of Dentistry of Ribeirao Preto, University of Sao Paulo) ;
  • Silva-Sousa, Yara Terezinha Correa (Faculty of Dentistry, University of Ribeirao Preto) ;
  • Pauwels, Ruben (OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, University Hospitals Leuven) ;
  • Buls, Nico (Department of Radiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel) ;
  • Jacobs, Reinhilde (OMFS IMPATH Research Group, Department of Imaging and Pathology, Faculty of Medicine, University of Leuven, University Hospitals Leuven) ;
  • Sousa-Neto, Manoel Damiao (Department of Restorative Dentistry, School of Dentistry of Ribeirao Preto, University of Sao Paulo)
  • Received : 2022.01.25
  • Accepted : 2022.04.08
  • Published : 2022.09.30

Abstract

Purpose: This study compared the root canal anatomy between cone-beam computed tomography (CBCT) and micro-computed tomography (micro-CT) images before and after biomechanical preparation and root canal filling. Materials and Methods: Isthmus-containing mesial roots of mandibular molars(n=14) were scanned by micro-CT and 3 CBCT devices: 3D Accuitomo 170 (ACC), NewTom 5G (N5G) and NewTom VGi evo (NEVO). Two calibrated observers evaluated the images for 2-dimensional quantitative parameters, the presence of debris or root perforation, and filling quality in the root canal and isthmus. The kappa coefficient, analysis of variance, and the Tukey test were used for statistical analyses(α=5%). Results: Substantial intra-observer agreement (κ=0.63) was found between micro-CT and ACC, N5G, and NEVO. Debris detection was difficult using ACC (42.9%), N5G (40.0%), and NEVO (40%), with no agreement between micro-CT and ACC, N5G, and NEVO (0.05<κ<0.12). After biomechanical preparation, 2.4%-4.8% of CBCT images showed root perforation that was absent on micro-CT. The 2D parameters showed satisfactory reproducibility between micro-CT and ACC, N5G, and NEVO (intraclass correlation coefficient: 0.60-0.73). Partially filled isthmuses were observed in 2.9% of the ACC images, 8.8% of the N5G and NEVO images, and 26.5% of the micro-CT images, with no agreement between micro-CT and ACC, and poor agreement between micro-CT and N5G and NEVO. Excellent agreement was found for area, perimeter, and the major and minor diameters, while the roundness measures were satisfactory. Conclusion: CBCT images aided in isthmus detection and classification, but did not allow their classification after biomechanical preparation and root canal filling.

Keywords

Acknowledgement

We gratefully acknowledge financial support from the Coordination for the Improvement of Higher Education Personnel(CAPES-Brazil process no. 33002029032P4) and the Sao Paulo Research Foundation (process no. 2018/14450-1). Ruben Pauwels is supported by the European Union Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie grant agreement number 754513 and by Aarhus University Research Foundation (AIAS-COFUND).

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