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Missed canals in endodontically treated maxillary molars of a Brazilian subpopulation: prevalence and association with periapical lesion using cone-beam computed tomography

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Abstract

Objectives

To evaluate the prevalence of missed canals in endodontically treated maxillary molars through cone-beam computed tomography (CBCT) images and to verify their association with the presence of periapical lesions.

Material and methods

Three oral radiologists evaluated 633 maxillary molars in CBCT exams regarding number of roots, number of root canals, number of missed canals, anatomic identification of missed canals, presence of periapical lesions, and root location of the periapical lesions. Data were statistically analyzed at a 5% significance level.

Results

Descriptive statistical analysis showed that among 395 first molars, 218 had at least one missed canal, and 186 (46.5%) had a missed canal and periapical lesion simultaneously. Of these, 72.4% (134) of the missed canals were only mesiobuccal 2 (MB2). Among 238 s molars evaluated, 121 presented at least one missed canal, and 104 (43.6%) had a missed canal and periapical lesion simultaneously. Of these, 81.7% (85) of the missed canals were only MB2. The chi-squared test showed an association between the presence of missed canals and periapical lesions for 1st and 2nd maxillary molars. Teeth that presented a missed canal showed an odds ratio (OR) of 2.57 (p < 0.0001) of being associated with a periapical lesion. Missed canal occurrence was positively related to the number of root canals (z = 13.06, p < 0.0001), meaning when the number of root canals is higher, there is a higher probability of missed canal occurrence. According to the model calculated prediction, for a one-unit increase in the number of canals, the probability of missed canals increases by 4.22%.

Conclusions

It was concluded that MB2 was the most frequently missed canal, associated with the presence of periapical lesions in endodontically treated maxillary molars.

Clinical relevance

Professionals’ negligence of anatomical root variations has been contributed to the high prevalence of missed canals, leading to failures in endodontic treatment. Their association with periapical lesion occurrence emphasizes the importance of correct detection and instrumentation of these canals.

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References

  1. Baratto-Filho F, Zaitter S, Haragushiku GA, Campos EA, Abuabara A, Correr GM (2009) Analysis of the internal anatomy of maxillary first molars by using different methods. J Endod 35:337–342. https://doi.org/10.1016/j.joen.2008.11.022

    Article  PubMed  Google Scholar 

  2. Favieri A, Barros FGB, Campos LC (2006) Root canal therapy of a maxillary first molar with five root canals: case report. Braz Dent J 17:75–78. https://doi.org/10.1590/S0103-64402006000100017

    Article  PubMed  Google Scholar 

  3. Pecora JD, WoelfeL JB, Sousa Neto MD, Issa EP (1992) Morphology study of the maxillary molars part II: internal anatomy. Braz Dent J 3:53–57

    PubMed  Google Scholar 

  4. Pereira RS, Rodrigues VAA, Furtado WT, Gueiros S, Pereira GS, Campos MJA (2017) Microbial analysis of root canal and periradicular lesion associated to teeth with endodontic failure. J Anaerobe 48:12–18. https://doi.org/10.1016/j.anaerobe.2017.06.016

    Article  Google Scholar 

  5. Donyavi Z, Shokri A, Khoshbin E, Khalili M, Faradmal J (2019) Assessment of root canal morphology of maxillary and mandibular second molars in the iranian population using CBCT. Dent Med Probl 56:45–51. https://doi.org/10.17219/dmp/101783

    Article  PubMed  Google Scholar 

  6. Martins JNR, Marques D, Mata A, Caramês J (2017) Root and root canal morphology of the permanent dentition in a caucasian population: a cone-beam computed tomography study. Int Endod J 50:1013–1026. https://doi.org/10.1111/iej.12724

    Article  PubMed  Google Scholar 

  7. Hoen MM, Pink FE (2002) Contemporary endodontic retreatments: ana analysis based on clinical treatment findings. J Endod 12:834–836. https://doi.org/10.1097/00004770-200212000-00010

    Article  Google Scholar 

  8. Whitherspoon DE, Small JC, Regan JD (2013) Missed canal systems are the most likely basis for endodontic retreatment of molars. Tex Dent J 130:127–139

    Google Scholar 

  9. Siqueira Júnior JF, Rôças IN, Marceliano-Alves MF, Pérez AR, Ricucci D (2018) Unprepared root canal surface areas: causes, clinical implications, and therapeutic strategies. J Endod 32:2–19. https://doi.org/10.1590/1807-3107bor-2018.vol32.0065

    Article  Google Scholar 

  10. Sjögren U, Figdor D, Persson S, Sundquivist G (1997) Influence of infection at the time of root filling on the outcome of endodontic treatment of teeth with apical periodontitis. Int Endod J 30:297–306. https://doi.org/10.1046/j.1365-2591.1997.00092.x

    Article  PubMed  Google Scholar 

  11. Nascimento EHL, Gaêta AH, Andrade MFS, Freitas DQ (2018) Prevalence of technical errors and periapical lesions in a sample of endodontically treated teeth: a CBCT analysis. Clin Oral Investig 22:2495–2503. https://doi.org/10.1007/s00784-018-2344-y

    Article  PubMed  Google Scholar 

  12. Ng YL, Mann V, Gulabivala K (2011) A prospective study of the factors affecting outcomes of nonsurgical root canal treatment: part 1: periapical health. Int Endod J 44:583–609. https://doi.org/10.1111/j.1365-2591.2011.01872.x

    Article  PubMed  Google Scholar 

  13. Kabak Y, Abbott PV (2005) Prevalence of apical periodontitis and the quality of endodontic treatment in an adult Belarusian population. Int Endod J 38:238–245. https://doi.org/10.1111/j.1365-2591.2005.00942.x

    Article  PubMed  Google Scholar 

  14. Van der Veken D, Curvers F, Fieuws S, Lambrechts P (2017) Prevalence of apical periodontitis and root filled teeth in a Belgian subpopulation found on CBCT images. Int Endod J 50:317–329. https://doi.org/10.1111/iej.12631

    Article  PubMed  Google Scholar 

  15. Craveiro MA, Fontana CE, de Martin AS, Bueno CE (2015) Influence of coronal restoration and root canal filling quality on periapical status: clinical and radiographic evaluation. J Endod 41:836–840. https://doi.org/10.1016/j.joen.2015.02.017

    Article  PubMed  Google Scholar 

  16. Patel S, Patel R, Foschi F, Mannocci F (2019) The impact of different diagnostic modalities on the evaluation of root canal anatomy and endodontic resident’s stress levels: a clinical study. J Endod 45:406–414. https://doi.org/10.1016/j.joen.2018.12.001

    Article  PubMed  Google Scholar 

  17. Niloloudaki GE, Kontogiannis TG, Kerezoudis NP (2015) Evaluation of the root and canal morphology of maxillary permanent molars and the incidence of the second mesiobuccal root canal in greek population using cone-beam computed tomography. Open Dent J 9:267–272. https://doi.org/10.2174/1874210601509010267

    Article  Google Scholar 

  18. Estrela C, Leles CR, Hollanda ACB, Moura MS, Pécora JD (2008) Prevalence and risk factors of apical periodontitis in endodontically treated teeth in a selected population of Brazilian adults. Braz Dent J 19:34–39. https://doi.org/10.1590/s0103-64402008000100006

    Article  PubMed  Google Scholar 

  19. Estrela C, Bueno MR, Couto GS, Rabelo LEG, Alencar AHG, Silva RG, Neto MDS (2015) Study of root canal anatomy in human permanent teeth in a subpopulation of Brazil’s center region using cone-beam computed tomography-part 1. Braz Dent J 26:530–536. https://doi.org/10.1590/0103-6440201302448

    Article  PubMed  Google Scholar 

  20. Karabucak B, Bunes A, Chehoud C, Kohli MR, Setzer F (2016) Prevalence of apical periodontitis in endodontically treated premolars and molars with untreated canal: a cone-beam computed tomography study. J Endod 42:538–541. https://doi.org/10.1016/j.joen.2015.12.026

    Article  PubMed  Google Scholar 

  21. R Core Team (2018) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/. Accessed 21 November 2019

  22. Deepayan S (2008) Lattice: multivariate data visualization with R. Springer, New York

    Google Scholar 

  23. Bates D, Maechler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67:1–48. https://doi.org/10.18637/jss.v067.i01

    Article  Google Scholar 

  24. Pinheiro J, Bates D, DebRoy S, Sarkar D, R Core Team (2019) nlme: linear and nonlinear mixed effects models. R package version 3.1–148. https://CRAN.R-project.org/package=nlme. Accessed 21 November 2019

  25. Heiberger RM, Robbins NB (2014) Design of diverging stacked bar Charts for Likert scales and other applications. J Stat Softw 57(5):1–32 Available from: http://www.jstatsoft.org/v57/i05/

    Article  Google Scholar 

  26. Lesnoff M, Lancelot R (2019) Analysis of overdispersed data. R package version 1.3.1. https://cran.r-project.org/package=aod. Accessed 21 November 2019

  27. Wickham H (2016) ggplot2: elegant graphics for data analysis. Springer-Verlag, New York

    Book  Google Scholar 

  28. Baruwa AO, Martins JNR, Meirinhos J, Pereira B, Gouveia J, Quaresma SA, Monroe A, Ginjeira A (2020) The influence of missed canals on the prevalence of periapical lesions in endodontically treated teeth: a cross-sectional study. J Endod 46:34–39. https://doi.org/10.1016/j.joen.2019.10.007

    Article  PubMed  Google Scholar 

  29. Vertucci FJ (1984) Root canal anatomy of the human permanent teeth. Oral Surg Oral Med Oral Pathol 58:589–599. https://doi.org/10.1016/0030-4220(84)90085-9

    Article  PubMed  Google Scholar 

  30. Cantatore G, Berutti E, Castellucci A (2006) Missed anatomy: frequency and clinical impact. Endod Top 15:3–31. https://doi.org/10.1111/j.1601-1546.2009.00240.x

    Article  Google Scholar 

  31. Hiebert BM, Abramovitch K, Rice D, Torabinejad M (2017) Prevalence of second mesiobuccal canals in maxillary first molars detected using cone-beam computed tomography, direct occlusal access, and coronal plane grinding. J Endod 43:1711–1715. https://doi.org/10.1016/j.joen.2017.05.011

    Article  PubMed  Google Scholar 

  32. Matherne RP, Angelopoulos C, Kulild JC, Tira D (2008) Use of cone-beam computed tomography to identify root canal systems in vitro. J Endod 34:87–89. https://doi.org/10.1016/j.joen.2007.10.016

    Article  PubMed  Google Scholar 

  33. Mirmohammadi H, Mahdi L, Partovi P, Khademi A, Shemesh H, Hassan B (2015) Accuracy of cone-beam computed tomography in the detection of a second mesiobuccal root canal in endodontically treated teeth: an ex vivo study. J Endod 41:1678–1681. https://doi.org/10.1016/j.joen.2015.06.011

    Article  PubMed  Google Scholar 

  34. Vizzotto MB, Silveira PF, Arús NA, Montagner F, Gomes BPFA, da Silveira HED (2013) CBCT for the assessment of second mesiobuccal (MB2) canals in maxillary molar teeth: effect of voxel size and presence of root filling. Int Endod J 46:870–876. https://doi.org/10.1111/iej.12075

    Article  PubMed  Google Scholar 

  35. American Association of Endodontists, American Academy of Oral and Maxillofacial Radiology (2015) AAE and AAOMR Joint Position statement: use of cone beam computed tomography in Endodontics 2015 update. Oral Surg Oral Med Oral Pathol Oral Radiol 120:508–512. https://doi.org/10.1016/j.oooo.2015.07.033

    Article  Google Scholar 

  36. Mazzi-Chaves JF, Silva-Sousa YTC, Leoni GB, Silva-Sousa AC, Estrela L, Estrela C, Jacobs R, Sousa-Neto MD (2020) Micro-computed tomographic assessment of the variability and morphological features of root canal system and their ramifications. J Appl Oral Sci 28:e20190393. https://doi.org/10.1590/1678-7757-2019-0393

    Article  PubMed  PubMed Central  Google Scholar 

  37. Betancourt P, Navarro P, Muñoz G, Fuentes R (2016) Prevalence and location of the secondary mesiobuccal canal in 1.100 maxillary molars using cone beam computed tomography. BMC Med Imaging 16:66. https://doi.org/10.1186/s12880-016-0168-2

    Article  PubMed  PubMed Central  Google Scholar 

  38. Das S, Warhadpande MM, Redij SA, Jibhkate NG, Sabir H (2015) Frequency of second mesiobuccal canal in permanent maxillary first molars using the operating microscope and selective dentin removal: a clinical study. Contemp Clin Dent 6:74–78. https://doi.org/10.4103/0976-237X.149296

    Article  PubMed  PubMed Central  Google Scholar 

  39. Pope O, Chankhrit S, Parashos P (2014) A comparative investigation of cone-beam computed tomography and periapical radiography in the diagnosis of a healthy periapex. J Endod 40:360–365. https://doi.org/10.1016/j.joen.2013.10.003

    Article  PubMed  Google Scholar 

  40. Kruse C, Spin-Neto R, Wenzel A, Væth M, Kirkevang L-L (2018) Impact of cone beam computed tomography on periapical assessment and treatment planning five to eleven years after surgical endodontic retreatment. Int Endod J 51:729–737. https://doi.org/10.1111/iej.12888

    Article  PubMed  Google Scholar 

  41. Costa FNNP, Pacheco-Yanes J, Siqueira-Jr JF, Oliveira ACS, Gazzaneo I, Amorim CA, Santos PHB, Alvez FRF (2019) Association between missed canals and apical periodontitis. Int Endod J 52:400–406. https://doi.org/10.1111/iej.13022

    Article  PubMed  Google Scholar 

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Funding

The authors are grateful to Federal University of Juiz de Fora, for financial support.

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Correspondence to Rafael Binato Junqueira.

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Conflict of interest

Weslley Duarte do Carmo declares that he has no conflict of interest. Francielle Silvestre Verner declares that she has no conflict of interest. Larisse Martins Aguiar declares that she has no conflict of interest. Maria Augusta Visconti declares that she has no conflict of interest. Matheus Diniz Ferreira declares that he has no conflict of interest. Mariane Floriano Lopes Santos Lacerda declares that she has no conflict of interest. Rafael Binato Junqueira declares that he has no conflict of interest.

Ethical approval

This study was approved by the Research Ethics Committee of Human Research of Federal University of Juiz de Fora under protocol #2.650.830/2018. All procedures performed that involved human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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do Carmo, W.D., Verner, F.S., Aguiar, L.M. et al. Missed canals in endodontically treated maxillary molars of a Brazilian subpopulation: prevalence and association with periapical lesion using cone-beam computed tomography. Clin Oral Invest 25, 2317–2323 (2021). https://doi.org/10.1007/s00784-020-03554-4

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