Root canal segmentation in cone-beam computed tomography

comparison with a micro-CT gold standard

Authors

  • Juliane Freitas Machado Federal University of Rio de Janeiro
  • Paula Maciel Pires Federal University of Rio de Janeiro
  • Thais Maria Pires dos Santos Federal University of Rio de Janeiro
  • Aline de Almeida Neves Federal University of Rio de Janeiro https://orcid.org/0000-0002-6049-0588
  • Ricardo Tadeu Lopes Federal University of Rio de Janeiro
  • Maria Augusta Portella Guedes Visconti Federal University of Rio de Janeiro

DOI:

https://doi.org/10.20396/bjos.v18i0.8657328

Keywords:

Root canal therapy, X-ray microtomography, Cone-beam computed tomography, Imaging, three-dimensional.

Abstract

Aim: The purpose of this study was to compare root canal volumes (RCVs) obtained by means of cone beam computed tomography (CBCT) to those obtained by micro-computed tomography (micro-CT) after applying different segmentation algorithms. Methods: Eighteen extracted human teeth with sound root canals were individually scanned in CBCT and micro-CT using specific acquisition parameters. Two different images segmentation strategies were applied to both acquisition methods (a visual and an automatic threshold). From each segmented tooth, the root canal volume was obtained. A paired t-test was used to identify differences between mean values resulted from the experimental groups and the gold standard. In addition, Pearson correlation coefficients and the agreement among the experimental groups with the gold standard were also calculated. The significance level adopted was 5%. Results: No statistical differences between the segmentation methods (visual and automatic) were observed for micro-CT acquired images. However, significant differences for the two segmentation methods tested were seen when CBCT acquired images were compared with the micro-CT automatic segmentation methods used. In general, an overestimation of the values in the visual method were observed while an underestimation was observed with the automatic segmentation algorithm. Conclusion: Cone beam computed tomography images acquired with parameters used in the present study resulted in low agreement with root canal volumes obtained with a micro-CT tomography gold standard method of RCV calculation.

 

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Author Biographies

Juliane Freitas Machado, Federal University of Rio de Janeiro

Department of Oral Pathology and Diagnosis, School of Dentistry, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.

           

Paula Maciel Pires, Federal University of Rio de Janeiro

Department of Pediatric Dentistry and Orthodontics, School of Dentistry, Federal University from Rio de Janeiro (UFRJ), Rio de January, RJ, Brazil.

Thais Maria Pires dos Santos, Federal University of Rio de Janeiro

Laboratory for Nuclear Instrumentation, COPPE, University Federal District of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.

Aline de Almeida Neves, Federal University of Rio de Janeiro

Department of Pediatric Dentistry and Orthodontics, School of Dentistry, Federal University from Rio de Janeiro (UFRJ), Rio de January, RJ, Brazil.

           

Ricardo Tadeu Lopes, Federal University of Rio de Janeiro

Nuclear Laboratory Instrumentation, COPPE, University Federal District of Rio de Janeiro (UFRJ), Rio January, RJ, Brazil.

Maria Augusta Portella Guedes Visconti, Federal University of Rio de Janeiro

Department of Oral Pathology and Diagnosis, School of Dentistry, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil.

References

Nasseh I, Al-Rawi W. Cone Beam Computed Tomography. Dent Clin North Am. 2018 Jul;62(3):361-391. doi: 10.1016/j.cden.2018.03.002. DOI: https://doi.org/10.1016/j.cden.2018.03.002

Scarfe WC, Li Z, Aboelmaaty W, Scott SA, Farman AG. Maxillofacial cone beam computed tomography: Essence, elements and steps to interpretation. Aust Dent J. 2012 Mar;57 Suppl 1:46-60. doi: 10.1111/j.1834-7819.2011.01657.x. DOI: https://doi.org/10.1111/j.1834-7819.2011.01657.x

Scarfe WC, Levin MD, Gane D, Farman AG. Use of cone beam computed tomography in endodontics. Int J Dent. 2009;2009:634567. doi: 10.1155/2009/634567. DOI: https://doi.org/10.1155/2009/634567

Patel S, Durack C, Abella F, Shemesh H, Roig M, Lemberg K. Cone beam computed tomography in endodontics - a review. Int Endod J. 2015 Jan;48(1):3-15. doi: 10.1111/iej.12270. DOI: https://doi.org/10.1111/iej.12270

Iikubo M, Nishioka T, Okura S, Kobayashi K, Sano T, Katsumata A et al. Influence of voxel size and scan field of view on fracture-like artifacts from gutta-percha obturated endodontically treated teeth on cone-beam computed tomography images. Oral Surg Oral Med Oral Pathol Oral Radiol. 2016 Nov;122(5):631-7. doi: 10.1016/j.oooo.2016.07.014. DOI: https://doi.org/10.1016/j.oooo.2016.07.014

Nascimento HA, Andrade ME, Frazão MA, Nascimento EH, Ramos-Perez FM, Freitas DQ. Dosimetry in CBCT with different protocols: Emphasis on small FOVs including exams for TMJ. Braz Dent J. 2017 Jul-Aug;28(4):511-6. doi: 10.1590/0103-6440201701525. DOI: https://doi.org/10.1590/0103-6440201701525

Bechara B, McMahan CA, Moore WS, Noujeim M, Geha H, Teixeira FB. Contrast-to-noise ratio difference in small field of view cone beam computed tomography machines. J Oral Sci. 2012 Sep;54(3):227-32. DOI: https://doi.org/10.2334/josnusd.54.227

Swain MV, Xue J. State of the art of Micro-CT applications in dental research. Int J Oral Sci. 2009 Dec;1(4):177-88. doi: 10.4248/IJOS09031. DOI: https://doi.org/10.4248/IJOS09031

Nair MK, Nair UP. Digital and advanced imaging in endodontics: a review. J Endod. 2007 Jan;33(1):1-6. DOI: https://doi.org/10.1016/j.joen.2006.08.013

Wolf TG, Paque F, Woop AC, Willershausen B, Briseno-Marroquin B. Root canal morphology and configuration of 123 maxillary second molars by means of micro-CT. Int J Oral Sci. 2017 Mar;9(1):33-7. doi: 10.1038/ijos.2016.53. DOI: https://doi.org/10.1038/ijos.2016.53

Tomaszewska IM, Skinningsrud B, Jarzebska A, Pekala JR, Tarasiuk J, Iwanaga J. Internal and external morphology of mandibular molars: An original micro-CT study and meta-analysis with review of implications for endodontic therapy. Clin Anat. 2018 Sep;31(6):797-811. doi: 10.1002/ca.23080. DOI: https://doi.org/10.1002/ca.23080

Queiroz PM, Rovaris K, Santaella GM, Haiter-Neto F, Freitas DQ. Comparison of automatic and visual methods used for image segmentation in Endodontics: a microCT study. J Appl Oral Sci. 2017 Nov-Dec;25(6):674-9. doi: 10.1590/1678-7757-2017-0023. DOI: https://doi.org/10.1590/1678-7757-2017-0023

Visconti MA, Verner FS, Assis NM, Devito KL. Influence of maxillomandibular positioning in cone beam computed tomography for implant planning. Int J Oral Maxillofac Surg. 2013 Jul;42(7):880-6. doi: 10.1016/j.ijom.2013.03.001. DOI: https://doi.org/10.1016/j.ijom.2013.03.001

Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012 Jun 28;9(7):676-82. doi: 10.1038/nmeth.2019. DOI: https://doi.org/10.1038/nmeth.2019

Prewitt JM, Mendelson ML. The analysis of cell images. Ann N Y Acad Sci. 1966 Jan;128(3):1035-53. DOI: https://doi.org/10.1111/j.1749-6632.1965.tb11715.x

Neves AA, Silva EJ, Roter JM, Belladona FG, Alves HD, Lopes RT, et al. Exploiting the potential of free software to evaluate root canal biomechanical preparation outcomes through micro-CT images. Int Endod J. 2015 Nov;48(11):1033-42. doi: 10.1111/iej.12399. DOI: https://doi.org/10.1111/iej.12399

Giavarina D. Understanding Bland Altman analysis. Bioch Med. 2015 Jun;25(2):141-51. doi: 10.11613/BM.2015.015. DOI: https://doi.org/10.11613/BM.2015.015

Fan B, Yang J, Gutmann JL, Fan M. Root canal systems in mandibular first premolars with C-shaped root configurations. Part I: Microcomputed tomography mapping of the radicular groove and associated root canal cross-sections. J Endod. 2008 Nov;34(11):1337-41. doi: 10.1016/j.joen.2008.08.006 DOI: https://doi.org/10.1016/j.joen.2008.08.006

Cohenca N, Shemesh H. Clinical applications of cone beam computed tomography in endodontics: a comprehensive review. Quintessence Int. 2015 Sep;46(8):657-68. doi: 10.3290/j.qi.a34396.

Michetti J, Georgelin-Gurgel M, Mallet JP, Diemer F, Boulanouar K. Influence of CBCT parameters on the output of an automatic edge-detection-based endodontic segmentation. Dentomaxillofac Radiol. 2015;44(8):20140413. doi: 10.1259/dmfr.20140413. DOI: https://doi.org/10.1259/dmfr.20140413

Zhang R, Wang H, Tian YY, Yu X, Hu T, Dummer PM. Use of cone-beam computed tomography to evaluate root and canal morphology of mandibular molars in Chinese individuals. Int Endod J. 2011 Nov;44(11):990-9. doi: 10.1111/j.1365-2591.2011.01904.x. DOI: https://doi.org/10.1111/j.1365-2591.2011.01904.x

Elsherief SM, Zayet MK, Hamouda IM. Cone-beam computed tomography analysis of curved root canals after mechanical preparation with three nickel-titanium rotary instruments. J Biomed Res. 2013 Jul;27(4):326-35. doi: 10.7555/JBR.27.20130008. DOI: https://doi.org/10.7555/JBR.27.20130008

Michetti J, Maret D, Mallet JP, Diemer F. Validation of cone beam computed tomography as a tool to explore root canal anatomy. J Endod. 2010 Jul;36(7):1187-90. doi: 10.1016/j.joen.2010.03.029. DOI: https://doi.org/10.1016/j.joen.2010.03.029

Michetti J, Basarab A, Diemer F, Kouame D. Comparison of an adaptive local thresholding method on CBCT and microCT endodontic images. Phys Med Biol. 2017 Dec 19;63(1):015020. doi: 10.1088/1361-6560/aa90ff. DOI: https://doi.org/10.1088/1361-6560/aa90ff

Venskutonis T, Plotino G, Juodzbalys G, Mickeviciene L. The importance of cone-beam computed tomography in the management of endodontic problems: a review of the literature. J Endod. 2014 Dec;40(12):1895-901. doi: 10.1016/j.joen.2014.05.009. DOI: https://doi.org/10.1016/j.joen.2014.05.009

De Carlo Bello M, Tiburcio-Machado C, Dotto Londero C, Branco Barletta F, Cunha Moreira CH, Pagliarin CML. Diagnostic efficacy of four methods for locating the second mesiobuccal canal in maxillary molars. Iran Endod J. 2018 Spring;13(2):204-8. doi: 10.22037/iej.v13i2.16564.

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Published

2019-12-18

How to Cite

1.
Machado JF, Pires PM, Santos TMP dos, Neves A de A, Lopes RT, Visconti MAPG. Root canal segmentation in cone-beam computed tomography: comparison with a micro-CT gold standard. Braz. J. Oral Sci. [Internet]. 2019 Dec. 18 [cited 2022 Oct. 4];18:e191627. Available from: https://periodicos.sbu.unicamp.br/ojs/index.php/bjos/article/view/8657328

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