Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing
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 incl...
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| Format: | Article |
| Language: | English |
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University of São Paulo
2021-04-01
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| Series: | Journal of Applied Oral Science |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572021000100418&tlng=en |
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| author | Bruna SIGNOR Luciano Costa BLOMBERG Patrícia Maria Poli KOPPER Paulo Affonso Nonnenmacher AUGUSTIN Marcos Vinicius RAUBER Guilherme Scopel RODRIGUES Roberta Kochenborger SCARPARO |
| author_facet | Bruna SIGNOR Luciano Costa BLOMBERG Patrícia Maria Poli KOPPER Paulo Affonso Nonnenmacher AUGUSTIN Marcos Vinicius RAUBER Guilherme Scopel RODRIGUES Roberta Kochenborger SCARPARO |
| author_sort | Bruna SIGNOR |
| collection | DOAJ |
| description | 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<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. |
| first_indexed | 2024-04-11T16:50:36Z |
| format | Article |
| id | doaj.art-04da15f4d97f4551882fb9bce6cf4c3c |
| institution | Directory Open Access Journal |
| issn | 1678-7765 |
| language | English |
| last_indexed | 2024-04-11T16:50:36Z |
| publishDate | 2021-04-01 |
| publisher | University of São Paulo |
| record_format | Article |
| series | Journal of Applied Oral Science |
| spelling | doaj.art-04da15f4d97f4551882fb9bce6cf4c3c2022-12-22T04:13:27ZengUniversity of São PauloJournal of Applied Oral Science1678-77652021-04-012910.1590/1678-7757-2020-0799Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healingBruna SIGNORhttps://orcid.org/0000-0003-0030-1236Luciano Costa BLOMBERGhttps://orcid.org/0000-0002-1649-9315Patrícia Maria Poli KOPPERhttps://orcid.org/0000-0002-2514-6036Paulo Affonso Nonnenmacher AUGUSTINhttps://orcid.org/0000-0003-1226-4911Marcos Vinicius RAUBERhttps://orcid.org/0000-0001-5351-5268Guilherme Scopel RODRIGUEShttps://orcid.org/0000-0002-8584-4071Roberta Kochenborger SCARPAROhttps://orcid.org/0000-0003-1171-0457Abstract 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572021000100418&tlng=enEndodonticsRetreatmentDecision treesTechnical qualityPeriapical healing |
| spellingShingle | Bruna SIGNOR Luciano Costa BLOMBERG Patrícia Maria Poli KOPPER Paulo Affonso Nonnenmacher AUGUSTIN Marcos Vinicius RAUBER Guilherme Scopel RODRIGUES Roberta Kochenborger SCARPARO Root canal retreatment: a retrospective investigation using regression and data mining methods for the prediction of technical quality and periapical healing Journal of Applied Oral Science Endodontics Retreatment Decision trees Technical quality 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 | Endodontics Retreatment Decision trees Technical quality Periapical healing |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1678-77572021000100418&tlng=en |
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