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Rapid Chairside Microbial Detection Predicts Endodontic Treatment Outcome
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 clinicall...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408726/ https://www.ncbi.nlm.nih.gov/pubmed/32635158 http://dx.doi.org/10.3390/jcm9072086 |
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author | Knight, Alan Blewitt, Ian Al-Nuaimi, Nassr Watson, Tim Herzog, Dylan Festy, Frederic Patel, Shanon Foschi, Federico Koller, Garrit Mannocci, Francesco |
author_facet | Knight, Alan Blewitt, Ian Al-Nuaimi, Nassr Watson, Tim Herzog, Dylan Festy, Frederic Patel, Shanon Foschi, Federico Koller, Garrit Mannocci, Francesco |
author_sort | Knight, Alan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7408726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74087262020-08-13 Rapid Chairside Microbial Detection Predicts Endodontic Treatment Outcome Knight, Alan Blewitt, Ian Al-Nuaimi, Nassr Watson, Tim Herzog, Dylan Festy, Frederic Patel, Shanon Foschi, Federico Koller, Garrit Mannocci, Francesco J Clin Med Article 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. MDPI 2020-07-03 /pmc/articles/PMC7408726/ /pubmed/32635158 http://dx.doi.org/10.3390/jcm9072086 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Knight, Alan Blewitt, Ian Al-Nuaimi, Nassr Watson, Tim Herzog, Dylan Festy, Frederic Patel, Shanon Foschi, Federico Koller, Garrit Mannocci, Francesco Rapid Chairside Microbial Detection Predicts Endodontic Treatment Outcome |
title | Rapid Chairside Microbial Detection Predicts Endodontic Treatment Outcome |
title_full | Rapid Chairside Microbial Detection Predicts Endodontic Treatment Outcome |
title_fullStr | Rapid Chairside Microbial Detection Predicts Endodontic Treatment Outcome |
title_full_unstemmed | Rapid Chairside Microbial Detection Predicts Endodontic Treatment Outcome |
title_short | Rapid Chairside Microbial Detection Predicts Endodontic Treatment Outcome |
title_sort | rapid chairside microbial detection predicts endodontic treatment outcome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408726/ https://www.ncbi.nlm.nih.gov/pubmed/32635158 http://dx.doi.org/10.3390/jcm9072086 |
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