Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
| Autor: | Bruna SIGNOR, Luciano Costa BLOMBERG, Patrícia Maria Poli KOPPER, Paulo Affonso Nonnenmacher AUGUSTIN, Marcos Vinicius RAUBER, Guilherme Scopel RODRIGUES, Roberta Kochenborger SCARPARO |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Journal of Applied Oral Science, Vol 29 (2021) |
| Druh dokumentu: | article |
| ISSN: | 1678-7765 1678-7757 |
| DOI: | 10.1590/1678-7757-2020-0799 |
| Popis: | Abstract 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 |
| Databáze: | Directory of Open Access Journals |
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