
Quantifying Root Resorption on the Incisors After Clear Aligner and Fixed Appliance Therapy Using Artificial Intelligence Tool Based CBCT Surface Models: Randomized Clinical Trial
Medicina e TecnologiaResumo original em inglês
O que aconteceu
To quantify external apical root resorption (EARR) on the incisors following non-extraction treatment of Class I malocclusion patients with moderate crowding, comparing clear aligners and fixed appliances using a novel 3D analysis of Cone-Beam Computed Tomography (CBCT) derived surface models.
In this randomized clinical trial, 32 adult patients, mean age 22.3 years, mean treatment duration 24.2 months, with Class I malocclusion and moderate crowding (mean Little's Index 4.76 mm) were allocated to either clear aligner (n = 15) or fixed appliance (n = 17) treatment. CBCT scans were obtained before and after treatment. EARR was measured using surface-based analysis of 3D models, and associations with patient and treatment-related factors were tested.
O que encontraram
The overall median EARR was -0.72 mm, with no significant difference between clear aligners (-0.71 mm) and fixed appliances (-0.72 mm). Upper lateral incisors exhibited significantly greater EARR than lower incisors (p = 0.002) and upper central incisors (p < 0.001). No significant predictor for EARR was found considering age, sex, crowding severity or treatment duration.
Por que isso importa
EARR occurred following non-extraction treatment of Class I malocclusion with both clear aligners and fixed appliances, with no significant difference between appliance types. Upper lateral incisors were most susceptible to EARR. The novel 3D analysis enabled comprehensive quantification of total EARR, setting a new methodological standard. Monitoring root health during treatment is important, particularly for upper lateral incisors.
Resumo publicado sob licença CC BY. A tradução para o português ainda não chegou a este estudo.
O estudo original
Quantifying Root Resorption on the Incisors After Clear Aligner and Fixed Appliance Therapy Using Artificial Intelligence Tool Based CBCT Surface Models: Randomized Clinical Trial
Roberto Bespalez-Neto, Claudia Trindade Mattos, Lucia Helena Soares Cevidanes, Thais Maria Freire Fernandes, Ana Cláudia de Castro Ferreira Conti, Renata Rodrigues de Almeida-Pedrin, Paula Vanessa Pedron Oltramari
Descritores MeSH
- Root Resorption
- Incisor
- Artificial Intelligence
- Malocclusion, Angle Class I
- Cone-Beam Computed Tomography
- Orthodontic Appliances, Fixed
- Tooth Movement Techniques
- Orthodontic Appliance Design
- Imaging, Three-Dimensional
- Young Adult