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

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. This retrospective observational study included 321 consecutive patients presen...

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Bibliographic Details
Published in:Journal of applied oral science 2021-01, Vol.29, p.e20200799-e20200799
Main Authors: Signor, Bruna, Blomberg, Luciano Costa, Kopper, Patrícia Maria Poli, Augustin, Paulo Affonso Nonnenmacher, Rauber, Marcos Vinicius, Rodrigues, Guilherme Scopel, Scarparo, Roberta Kochenborger
Format: Article
Language:English
Subjects:
Data Mining
Decision trees
Dental Pulp Cavity - diagnostic imaging
Dentistry
DENTISTRY, ORAL SURGERY & MEDICINE
Endodontics
Humans
Original
Periapical healing
Periapical Periodontitis
Retreatment
Retrospective Studies
Root Canal Therapy
Technical quality
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Summary: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. 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. 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
ISSN:1678-7757
1678-7765
1678-7765
DOI:10.1590/1678-7757-2020-0799