OBJECTIVE: To establish the automatic x-ray cephalometric analysis system to provide the convenient and reliable method for clinical cephalometric analysis. METHODS The graphics, image processing techniques and artificial intelligence was usedand the computer digital image processing and pattern recognition such as median filtering, histogram equalization, Laplacian and Canny edge detection were introduced. To provide the templates of the variable anatomical structures, which could automatically outline the contour lines of the hard and soft tissues. Thirty five cases were measured and analysied with the system. RESULTS: The computer measurements had the same consistency with hand measurements. The system could calculate more precisely and save more time and energy than other systems. CONCLUSION: The system can supply a more convenient and precise measurement for cephalometry.
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http://dx.doi.org/10.3785/j.issn.1008-9292.2002.04.015 | DOI Listing |
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).
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.
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.
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.
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.
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