Rapid Chairside Microbial Detection Predicts Endodontic Treatment Outcome

Alan Knight, Ian Blewitt, Nassr Al-Nuaimi, Tim Watson, Dylan Herzog, Frederic Festy, Shanon Patel, Federico Foschi, Garrit Koller, Francesco Mannocci, Alan Knight, Ian Blewitt, Nassr Al-Nuaimi, Tim Watson, Dylan Herzog, Frederic Festy, Shanon Patel, Federico Foschi, Garrit Koller, Francesco Mannocci

Abstract

Background: The aim of this longitudinal, one-year cohort study was to explore the hypothesis that fluorescence sampling of the root canal space prior to obturation could predict the outcome of root canal treatment (RCT).

Methods: Sixty-five teeth underwent primary RCT and were followed up clinically and radiographically. The outcome was determined radiographically with periapical radiographs (PR) and cone beam computed tomography (CBCT) scans.

Results: Success at 12 months was predictable based on the fluorescence score. When the fluorescence score (defined as the percentage of signal over total signal including background) was lower than 67, there was a 4.5 times (Odds ratio (OR) = 0.028; 95% confidence interval (CI): 0.003, 0.291, p = 0.001) greater chance of success (90% overall). When the readings were above this threshold, the success rate was 20%.

Conclusion: A chairside sampling method is able to predict the outcome of RCT, through the use of paper point sampling and fluorescence staining. This has reduced the prevalence of persistent infections by guiding the optimum time for obturation. ClinicalTrials.gov trial NCT03660163.

Keywords: bacteria; biofilm(s); clinical outcomes; clinical studies/trials; computed tomography; endodontics.

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Flowchart of the trial showing the process of patient recruitment, exclusion and follow-up.
Figure 2
Figure 2
Levels of fluorescence reading (AU) reflects patients’ (n = 65) response to endodontic treatment according to “loose” success criteria. The probability of 12-month success was 4.5 times (Odds ratio (OR) = 0.028; 95% confidence interval (CI): 0.003, 0.291, p = 0.001) higher when the fluorescence reading was lower than 67 (%) with success rates of 90% and 20%, respectively, for teeth with readings below and above this threshold.

References

    1. Siqueira J. Aetiology of root canal treatment failure: Why well-treated teeth can fail. Int. Endod. J. 2001;34:1–10. doi: 10.1046/j.1365-2591.2001.00396.x.
    1. De Paz L.C. Redefining the persistent infection in root canals: Possible role of biofilm communities. Int. Endod. J. 2007;33:652–662. doi: 10.1016/j.joen.2006.11.004.
    1. Sjogren U., Figdor D., Persson S., Sundqvist G. Influence of infection at the time of root filling on the outcome of endodontic treatment of teeth with apical periodontitis. Int. Endod. J. 1997;30:297–306. doi: 10.1111/j.1365-2591.1997.tb00714.x.
    1. Kato H., Yoshida A., Ansai T., Watari H., Notomi T., Takehara T. Loop-mediated isothermal amplification method for the rapid detection of Enterococcus faecalis in infected root canals. Oral Microbiol. Immunol. 2007;22:131–135. doi: 10.1111/j.1399-302X.2007.00328.x.
    1. Herzog D.B., Hosny N.A., Niazi S.A., Koller G., Cook R.J., Foschi F., Watson T.F., Mannocci F., Festy F. Rapid bacterial detection during endodontic treatment. J. Dent. Res. 2017;96:626–632. doi: 10.1177/0022034517691723.
    1. Peters L.B., Wesselink P.R. Periapical healing of endodontically treated teeth in one and two visits obturated in the presence or absence of detectable microorganisms. Int. Endod. J. 2002;35:660–667. doi: 10.1046/j.1365-2591.2002.00541.x.
    1. Ng Y.L., Mann V., Gulabivala K. Outcome of secondary root canal treatment: A systematic review of the literature. Int. Endod. J. 2008;41:1026–1046. doi: 10.1111/j.1365-2591.2008.01484.x.
    1. Bender I., Seltzer S. Roentgenographic and direct observation of experimental lesions in bone: I. Int. Endod. J. 2003;29:702–706. doi: 10.1097/00004770-200311000-00005.
    1. Jorge E.G., Tanomaru-Filho M., Goncalves M., Tanomaru J.M. Detection of periapical lesion development by conventional radiography or computed tomography. Oral Surg. Oral Med. Oral Pathol. Oral Radiol. Endod. 2008;106:e56–e61. doi: 10.1016/j.tripleo.2008.03.020.
    1. Kanagasingam S., Hussaini H.M., Soo I., Baharin S., Ashar A., Patel S. Accuracy of single and parallax film and digital periapical radiographs in diagnosing apical periodontitis—A cadaver study. Int. Endod. J. 2017;50:427–436. doi: 10.1111/iej.12651.
    1. Kanagasingam S., Lim C.X., Yong C.P., Mannocci F., Patel S. Diagnostic accuracy of periapical radiography and cone beam computed tomography in detecting apical periodontitis using histopathological findings as a reference standard. Int. Endod. J. 2017;50:417–426. doi: 10.1111/iej.12650.
    1. Patel S., Wilson R., Dawood A., Foschi F., Mannocci F. The detection of periapical pathosis using digital periapical radiography and cone beam computed tomography—Part 2: A 1-year post-treatment follow-up. Int. Endod. J. 2012;45:711–723. doi: 10.1111/j.1365-2591.2012.02076.x.
    1. Von Elm E., Altman D.G., Egger M., Pocock S.J., Gøtzsche P.C., Vandenbroucke J.P. The strengthening the reporting of observational studies in epidemiology (STROBE) statement: Guidelines for reporting observational studies. Ann. Intern. Med. 2007;147:573–577. doi: 10.7326/0003-4819-147-8-200710160-00010.
    1. Low K.M.T., Dula K., Bürgin W., von Arx T. Comparison of periapical radiography and limited cone-beam tomography in posterior maxillary teeth referred for apical surgery. Int. Endod. J. 2008;34:557–562. doi: 10.1016/j.joen.2008.02.022.
    1. Bornstein M.M., Lauber R., Sendi P., von Arx T. Comparison of periapical radiography and limited cone-beam computed tomography in mandibular molars for analysis of anatomical landmarks before apical surgery. J. Endod. 2011;37:151–157. doi: 10.1016/j.joen.2010.11.014.
    1. Al-Nuaimi N., Patel S., Davies A., Bakhsh A., Foschi F., Mannocci F. Pooled analysis of 1-year recall data from three root canal treatment outcome studies undertaken using cone beam computed tomography. Int. Endod. J. 2018;51:e216–e226. doi: 10.1111/iej.12844.
    1. Davies A., Patel S., Foschi F., Andiappan M., Mitchell P.J., Mannocci F. The detection of periapical pathoses using digital periapical radiography and cone beam computed tomography in endodontically retreated teeth—Part 2: A 1 year post-treatment follow-up. Int. Endod. J. 2016;49:623–635. doi: 10.1111/iej.12500.
    1. Ng Y.L., Mann V., Gulabivala K. A prospective study of the factors affecting outcomes of non-surgical root canal treatment: Part 2: Tooth survival. Int. Endod. J. 2011;44:610–625. doi: 10.1111/j.1365-2591.2011.01873.x.
    1. Gomes B., Sate E., Ferraz C., Teixeira F., Zaia A., Souza-Filho F. Evaluation of time required for recontamination of coronally sealed canals medicated with calcium hydroxide and chlorhexidene. Int. Endod. J. 2003;36:604–609. doi: 10.1046/j.1365-2591.2003.00694.x.

Source: PubMed

3
Abonneren