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Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing

OBJECTIVES: This study aimed to investigate patterns and risk factors related to the feasibility of achieving technical quality and periapical healing in root canal non-surgical retreatment, using regression and data mining methods. METHODOLOGY: This retrospective observational study included 321 co...

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Autores principales: SIGNOR, Bruna, BLOMBERG, Luciano Costa, KOPPER, Patrícia Maria Poli, AUGUSTIN, Paulo Affonso Nonnenmacher, RAUBER, Marcos Vinicius, RODRIGUES, Guilherme Scopel, SCARPARO, Roberta Kochenborger
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade De Odontologia De Bauru - USP 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075292/
https://www.ncbi.nlm.nih.gov/pubmed/33886941
http://dx.doi.org/10.1590/1678-7757-2020-0799
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author SIGNOR, Bruna
BLOMBERG, Luciano Costa
KOPPER, Patrícia Maria Poli
AUGUSTIN, Paulo Affonso Nonnenmacher
RAUBER, Marcos Vinicius
RODRIGUES, Guilherme Scopel
SCARPARO, Roberta Kochenborger
author_facet SIGNOR, Bruna
BLOMBERG, Luciano Costa
KOPPER, Patrícia Maria Poli
AUGUSTIN, Paulo Affonso Nonnenmacher
RAUBER, Marcos Vinicius
RODRIGUES, Guilherme Scopel
SCARPARO, Roberta Kochenborger
author_sort SIGNOR, Bruna
collection PubMed
description OBJECTIVES: This study aimed to investigate patterns and risk factors related to the feasibility of achieving technical quality and periapical healing in root canal non-surgical retreatment, using regression and data mining methods. METHODOLOGY: This retrospective observational study included 321 consecutive patients presenting for root canal retreatment. Patients were treated by graduate students, following standard protocols. Data on medical history, diagnosis, treatment, and follow-up visits variables were collected from physical records and periapical radiographs and transferred to an electronic chart database. Basic statistics were tabulated, and univariate and multivariate analytical methods were used to identify risk factors for technical quality and periapical healing. Decision trees were generated to predict technical quality and periapical healing patterns using the J48 algorithm in the Weka software. RESULTS: Technical outcome was satisfactory in 65.20%, and we observed periapical healing in 80.50% of the cases. Several factors were related to technical quality, including severity of root curvature and altered root canal morphology (p<0.05). Follow-up periods had a mean of 4.05 years. Periapical lesion area, tooth type, and apical resorption proved to be significantly associated with retreatment failure (p<0.05). Data mining analysis suggested that apical root resorption might prevent satisfactory technical outcomes even in teeth with straight root canals. Also, large periapical lesions and poor root filling quality in primary endodontic treatment might be related to healing failure. CONCLUSION: Frequent patterns and factors affecting technical outcomes of endodontic retreatment included root canal morphological features and its alterations resulting from primary endodontic treatment. Healing outcomes were mainly associated with the extent of apical periodontitis pathological damages in dental and periapical tissues. To determine treatment predictability, we suggest patterns including clinical and radiographic features of apical periodontitis and technical quality of primary endodontic treatment.
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spelling pubmed-80752922021-04-30 Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing SIGNOR, Bruna BLOMBERG, Luciano Costa KOPPER, Patrícia Maria Poli AUGUSTIN, Paulo Affonso Nonnenmacher RAUBER, Marcos Vinicius RODRIGUES, Guilherme Scopel SCARPARO, Roberta Kochenborger J Appl Oral Sci Original Article OBJECTIVES: This study aimed to investigate patterns and risk factors related to the feasibility of achieving technical quality and periapical healing in root canal non-surgical retreatment, using regression and data mining methods. METHODOLOGY: This retrospective observational study included 321 consecutive patients presenting for root canal retreatment. Patients were treated by graduate students, following standard protocols. Data on medical history, diagnosis, treatment, and follow-up visits variables were collected from physical records and periapical radiographs and transferred to an electronic chart database. Basic statistics were tabulated, and univariate and multivariate analytical methods were used to identify risk factors for technical quality and periapical healing. Decision trees were generated to predict technical quality and periapical healing patterns using the J48 algorithm in the Weka software. RESULTS: Technical outcome was satisfactory in 65.20%, and we observed periapical healing in 80.50% of the cases. Several factors were related to technical quality, including severity of root curvature and altered root canal morphology (p<0.05). Follow-up periods had a mean of 4.05 years. Periapical lesion area, tooth type, and apical resorption proved to be significantly associated with retreatment failure (p<0.05). Data mining analysis suggested that apical root resorption might prevent satisfactory technical outcomes even in teeth with straight root canals. Also, large periapical lesions and poor root filling quality in primary endodontic treatment might be related to healing failure. CONCLUSION: Frequent patterns and factors affecting technical outcomes of endodontic retreatment included root canal morphological features and its alterations resulting from primary endodontic treatment. Healing outcomes were mainly associated with the extent of apical periodontitis pathological damages in dental and periapical tissues. To determine treatment predictability, we suggest patterns including clinical and radiographic features of apical periodontitis and technical quality of primary endodontic treatment. Faculdade De Odontologia De Bauru - USP 2021-04-19 /pmc/articles/PMC8075292/ /pubmed/33886941 http://dx.doi.org/10.1590/1678-7757-2020-0799 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
SIGNOR, Bruna
BLOMBERG, Luciano Costa
KOPPER, Patrícia Maria Poli
AUGUSTIN, Paulo Affonso Nonnenmacher
RAUBER, Marcos Vinicius
RODRIGUES, Guilherme Scopel
SCARPARO, Roberta Kochenborger
Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
title Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
title_full Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
title_fullStr Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
title_full_unstemmed Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
title_short Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
title_sort root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8075292/
https://www.ncbi.nlm.nih.gov/pubmed/33886941
http://dx.doi.org/10.1590/1678-7757-2020-0799
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