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Skeletal and dental effects of skeletally anchored forsus fatigue resistant devices during class II malocclusion treatment: A meta-analysis and systematic review.
J Orthod Sci
November 2024
Department of Dentistry and Dental Hygiene, Division of Orthodontics, School of Dentistry, University of Alberta, Canada.
Objective: To evaluate and compare the skeletal and dental treatment effects of Class II malocclusion cases using skeletally anchored Forsus (miniscrew-anchored FRD or miniplate-anchored FRD), with conventional Forsus FRD.
Materials And Methods: Unrestricted electronic search of six databases and additional manual searches were performed up to July 2023. Randomized controlled trials having one treatment arm with skeletal anchored Forsus FRD in treatment of Class II malocclusion and another matched treatment group treated with conventional Forsus FRD were included in this review.
A cross-sectional study to correlate nasal profile and chin position with cephalometric lip profile.
J Orthod Sci
November 2024
Department of Surgery, Section of Dentistry, The Aga Khan University and Hospital, Karachi, Pakistan.
Objective: To determine the effect of the nose and chin on the cephalometric lip profile.
Methods And Material: The pre-treatment lateral cephalograms of 177 adult patients with no history of orthodontic treatment were manually traced. The sample size was divided into three vertical and horizontal groups using angle ANB and MMA to assess the difference in nose and chin forms.
Exploring the association between orthodontic treatment and temporomandibular disorders in pediatric patient: A retrospective study.
J Orthod Sci
November 2024
Department of Oral Medicine and Radiology, Chhattisgarh Dental College and Research Institute, Chhattisgarh, India.
Objective: This retrospective study aimed to investigate the association between orthodontic treatment and development of temporomandibular disorders (TMDs) in pediatric patients.
Methods: This study analyzed 122 pediatric patients (age 10-18 years) who underwent orthodontic treatment. The inclusion criteria included comprehensive orthodontic records and substantial clinical documentation, while the exclusion criteria targeted preexisting TMDs or syndromes affecting the temporomandibular joint.
Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs.
Int Dent J
January 2025
Department of Orthodontics and Oral Facial Genetics, Indiana University School of Dentistry, Indianapolis, Indiana, USA. Electronic address:
Objective: This study aimed to predict long-term growth-related changes in skeletal and dental relationships within the craniofacial complex using machine learning (ML) models.
Materials And Methods: Cephalometric radiographs from 301 subjects, taken at pre-pubertal (T1, age 11) and post-pubertal stages (T2, age 18), were analysed. Three ML models-Lasso regression, Random Forest, and Support Vector Regression (SVR)-were trained on a subset of 240 subjects, while 61 subjects were used for testing.
Assessing postoperative maxillary advancement stability in patients with cleft lip and palate.
Br J Oral Maxillofac Surg
November 2024
Department of Oral and Maxillofacial Surgery, Hospital for Rehabilitation of Craniofacial Anomalies/USP (HRAC/USP), Bauru, Sao Paulo, Brazil.
This study aims to evaluate the post-surgical stability of patients with cleft lip and palate that underwent maxillary advancement surgery. The study was conducted by means of cephalometric analysis of the soft tissues in digital radiographs acquired preoperatively, immediate postoperatively and six months after surgery using Dolphin Imaging 11.5 software.
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