Introduction: This study aimed to compare the early results of gingival recession in patients with Class II malocclusion treated with Class II intermaxillary elastics and the Twin Force appliance.
Methods: The sample comprised 55 patients with Class II malocclusion treated without extraction and divided into 2 groups. Group 1 consisted of 23 patients treated with fixed appliances and Class II elastics, with mean initial age of 15.41 ± 5.65 years and a mean treatment time of 3.11 ± 0.91 years. Group 2 consisted of 32 patients treated with fixed appliances and the Twin Force mandibular protraction appliance, with a mean initial age of 18.45 ± 6.63 years and a mean treatment time of 3.17 ± 1.59 years. Dolphin software measured gingival recession in initial and final intraoral photographs. Initial and final lateral cephalograms were used to measure the position of the mandibular incisors. Intragroup and intergroup comparisons were performed by dependent and independent t tests, respectively.
Results: In both groups, there was no significant increase in gingival recession with orthodontic treatment, and there was significant protrusion and buccal inclination of the mandibular incisors. When changes with treatment were compared between the groups, there was no statistically significant difference in gingival recession and mandibular incisor position.
Conclusions: There was no significant increase in gingival recession immediately after orthodontic treatment performed with intermaxillary elastics and the Twin Force appliance.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ajodo.2021.05.015 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Proper alignment of the teeth not only aids in functional occlusion but also promotes harmonious gingival contours, potentially reducing the risk of inflammation and gingival recession. This case series aimed to evaluate the effectiveness of optimizing axial inclination through clear aligner orthodontic treatment in addressing gingival recession defects. This case series included nine patients, aged 20-36 years, who presented with varying degrees of gingival recession on 12 mandibular incisors.
View Article and Find Full Text PDFSurgically facilitated orthodontics with clear aligners for severe malocclusion and gingival recessions.
Clin Adv Periodontics
January 2025
Department of Orthodontics and Dentofacial Orthopedics, Eastman Institute for Oral Health, University of Rochester, Rochester, New York, USA.
Background: Gingival recession defects (GRDs) pose functional and esthetic concerns and may be associated with unfavorable tooth positions. Surgically facilitated orthodontic treatment (SFOT) with clear aligners can be a valuable option for adults with severe malocclusion and GRDs.
Methods: A 28-year-old male presented with severe dental crowding, Class III dental malocclusion, localized tooth crossbites, and tapered maxillary arch.
Incidence of Gingival Recessions in Adolescent Orthodontic Patients Treated With Fixed Appliances and Lingual Retainer.
J Clin Periodontol
January 2025
Section of Orthodontics, Department of Dental Clinical Specialties, Complutense University of Madrid, Madrid, Spain.
Aim: To evaluate risk indicators for gingival recessions (GRs) in the lower anterior teeth of orthodontic patients post treatment and during a retention period of at least 5 years, compared to non-treated controls.
Material And Methods: Eighty-nine orthodontically treated patients who were recession-free before treatment were recruited. Demographic, cephalometric and occlusal records were retrieved before (T1) and after treatment (T2), and periodontal outcomes were clinically evaluated at least 5 years post retention (T3).
Machine Learning for Automated Identification of Anatomical Landmarks in Ultrasound Periodontal Imaging.
Dentomaxillofac Radiol
January 2025
Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, California 92093, USA.
Objectives: To identify landmarks in ultrasound periodontal images and automate the image-based measurements of gingival recession (iGR), gingival height (iGH), and alveolar bone level (iABL) using machine learning.
Methods: We imaged 184 teeth from 29 human subjects. The dataset included 1580 frames for training and validating the U-Net CNN machine learning model, and 250 frames from new teeth that were not used in training for testing the generalization performance.
The integrity and phenotype of periodontal soft tissues significantly influence the outcome of surgical periodontal regenerative therapy. In cases with thin gingival phenotype, treating infrabony defects surgically can worsen gingival recession and loss of papillae. This report outlines a surgical approach for addressing infrabony defects at sites with gingival recession and thin phenotype.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!