Prevalence, Severity, and Predictors of Apical Root Resorption Following Orthodontic Treatment: A Cone-Beam Computed Tomography Study

Aim: To investigate the prevalence, severity, and predictors of apical root resorption following orthodontic treatment using cone-beam computed tomography (CBCT). Methods: A retrospective analysis was conducted on the CBCT scans of 141 orthodontic patients (76 males and 65 females). CBCT images were...

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Main Authors: Kunal Bhardwaj, Nikita Patel, Arvind Mengi, Ranu S. Ingole, Gaurav Ahuja, Arti Butoliya, Miral Mehta
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-12-01
Series:Journal of Pharmacy and Bioallied Sciences
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Online Access:https://journals.lww.com/10.4103/jpbs.jpbs_1189_24
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author Kunal Bhardwaj
Nikita Patel
Arvind Mengi
Ranu S. Ingole
Gaurav Ahuja
Arti Butoliya
Miral Mehta
author_facet Kunal Bhardwaj
Nikita Patel
Arvind Mengi
Ranu S. Ingole
Gaurav Ahuja
Arti Butoliya
Miral Mehta
author_sort Kunal Bhardwaj
collection DOAJ
description Aim: To investigate the prevalence, severity, and predictors of apical root resorption following orthodontic treatment using cone-beam computed tomography (CBCT). Methods: A retrospective analysis was conducted on the CBCT scans of 141 orthodontic patients (76 males and 65 females). CBCT images were meticulously assessed for the presence and severity of apical root resorption using standardized grading criteria. Results: The prevalence of apical root resorption was 45.4%. Among those with root resorption, 35.5% exhibited grade 1 resorption, while 10.8% showed grade 2 resorption. Sex was not significantly associated with the severity of root resorption (P = 0.312); however, age had a significant effect (P < 0.05). Younger age groups were more prone to severe root resorption. Additionally, the treatment duration was significantly correlated with the severity of root resorption (P = 0.021), with longer treatment durations associated with increased resorption severity. Conclusion: This study provides valuable insights into the prevalence, severity, and predictors of apical root resorption following orthodontic treatment using CBCT imaging. These findings highlight the importance of considering patient demographics and treatment duration in treatment planning to mitigate the risk of root resorption and enhance treatment outcomes.
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spelling doaj-art-073be7cfaee0425d9912945fd39b085b2025-01-13T10:39:47ZengWolters Kluwer Medknow PublicationsJournal of Pharmacy and Bioallied Sciences0976-48790975-74062024-12-0116Suppl 4S3939S394110.4103/jpbs.jpbs_1189_24Prevalence, Severity, and Predictors of Apical Root Resorption Following Orthodontic Treatment: A Cone-Beam Computed Tomography StudyKunal BhardwajNikita PatelArvind MengiRanu S. IngoleGaurav AhujaArti ButoliyaMiral MehtaAim: To investigate the prevalence, severity, and predictors of apical root resorption following orthodontic treatment using cone-beam computed tomography (CBCT). Methods: A retrospective analysis was conducted on the CBCT scans of 141 orthodontic patients (76 males and 65 females). CBCT images were meticulously assessed for the presence and severity of apical root resorption using standardized grading criteria. Results: The prevalence of apical root resorption was 45.4%. Among those with root resorption, 35.5% exhibited grade 1 resorption, while 10.8% showed grade 2 resorption. Sex was not significantly associated with the severity of root resorption (P = 0.312); however, age had a significant effect (P < 0.05). Younger age groups were more prone to severe root resorption. Additionally, the treatment duration was significantly correlated with the severity of root resorption (P = 0.021), with longer treatment durations associated with increased resorption severity. Conclusion: This study provides valuable insights into the prevalence, severity, and predictors of apical root resorption following orthodontic treatment using CBCT imaging. These findings highlight the importance of considering patient demographics and treatment duration in treatment planning to mitigate the risk of root resorption and enhance treatment outcomes.https://journals.lww.com/10.4103/jpbs.jpbs_1189_24apical root resorptioncone-beam computed tomographyorthodontic treatment
spellingShingle Kunal Bhardwaj
Nikita Patel
Arvind Mengi
Ranu S. Ingole
Gaurav Ahuja
Arti Butoliya
Miral Mehta
Prevalence, Severity, and Predictors of Apical Root Resorption Following Orthodontic Treatment: A Cone-Beam Computed Tomography Study
Journal of Pharmacy and Bioallied Sciences
apical root resorption
cone-beam computed tomography
orthodontic treatment
title Prevalence, Severity, and Predictors of Apical Root Resorption Following Orthodontic Treatment: A Cone-Beam Computed Tomography Study
title_full Prevalence, Severity, and Predictors of Apical Root Resorption Following Orthodontic Treatment: A Cone-Beam Computed Tomography Study
title_fullStr Prevalence, Severity, and Predictors of Apical Root Resorption Following Orthodontic Treatment: A Cone-Beam Computed Tomography Study
title_full_unstemmed Prevalence, Severity, and Predictors of Apical Root Resorption Following Orthodontic Treatment: A Cone-Beam Computed Tomography Study
title_short Prevalence, Severity, and Predictors of Apical Root Resorption Following Orthodontic Treatment: A Cone-Beam Computed Tomography Study
title_sort prevalence severity and predictors of apical root resorption following orthodontic treatment a cone beam computed tomography study
topic apical root resorption
cone-beam computed tomography
orthodontic treatment
url https://journals.lww.com/10.4103/jpbs.jpbs_1189_24
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