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Research of Orthodontic Soft Tissue Profile Prediction Based on Conditional Generative Adversarial Networks.
J Dent
January 2025
Department of Orthodontics, School of Stomatology, Capital Medical University, Beijing 100050, China. Electronic address:
Objective: This study constructed a new conditional generative adversarial network (CGAN) model to predict changes in lateral appearance following orthodontic treatment.
Methods: Lateral cephalometric radiographs of adult patients were obtained before (T1) and after (T2) orthodontic treatment. The expanded dataset was divided into training, validation, and test sets by random sampling in a ratio of 8:1:1.
Association between dental agenesis and facial morphology. A cross-sectional study in France.
PLoS One
December 2024
CHU Rennes, Pôle Odontologie, Univ Rennes, Rennes, France.
Purpose: Knowing the features of dental evolution and facial morphology, marked by an increase in the prevalence of agenesis and a tendency towards verticalization of the face, the main objective of this cross-sectional observational study was to assess the correlation between the occurrence of agenesis (of 3rd molars or other teeth) and facial morphology in the French population.
Methods: The study was conducted at the University Hospital of Rennes, France, from June 2022 to October 2022. Patients aged 12-18 years who underwent a global orthodontic assessment were included.
The Relationship Between Orthodontic Malocclusion and Morphological Features of Sella Turcica Bridging and Ponticulus Posticus.
Medicina (Kaunas)
November 2024
Department of Orthodontics, Lithuanian University of Health Sciences, J. Lukšos-Daumanto Str. 6, LT-50106 Kaunas, Lithuania.
: Recent years have been marked by a search for new relationships between malocclusions and the morphological features of the cranial base and upper cervical spine. The aim of this study was to evaluate the relationship between skeletal orthodontic malocclusions and the morphological features of sella turcica bridging (STB) and ponticulus posticus (PP). : The study sample consisted of 300 randomly selected pre-orthodontic treatment patients aged 7-40 years.
View Article and Find Full Text PDFSex prediction through machine learning utilizing mandibular condyles, coronoid processes, and sigmoid notches features.
PLoS One
November 2024
Postgraduate Program in Dentistry, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil.
Characteristics of the mandible structures have been relevant in anthropological and forensic studies for sex prediction. This study aims to evaluate the coronoid process, condyle, and sigmoid notch patterns in sex prediction through supervised machine learning algorithms. Cephalometric radiographs from 410 dental records of patients were screened to investigate the morphology of the coronoid process, condyle, and sigmoid notch and the Co-Gn distance.
View Article and Find Full Text PDFSex differences in craniofacial parameters of children and adolescents: a comparative study with the maturation of cervical vertebrae using a cephalometric method.
J Clin Pediatr Dent
November 2024
National Clinical Research Center for Oral Diseases, State Key Laboratory of Oral Diseases, Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, 610041 Chengdu, Sichuan, China.
This study aimed to investigate sex differences in craniomaxillofacial parameters in children and adolescents. Lateral cephalograms were obtained from 340 subjects (141 male, 199 female) aged 6 to 18 years, and their craniofacial characteristics and cervical vertebral maturity were assessed using the quantitative cervical vertebral maturity (QCVM) method. Age-based stratified analyses on craniofacial parameters and further comparison in QCVM Ⅲ subjects were performed.
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