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Vertical Mandibular Asymmetry in Unilateral Cleft Lip and Palate: A Comparative Analysis With Skeletal Class III and Class I Malocclusions.
Cureus
December 2024
Department of Orthodontics and Dentofacial Orthopedics, Government Dental College, Thiruvananthapuram, Thiruvananthapuram, IND.
Introduction Unilateral cleft lip and palate (UCLP) often leads to maxillary hypoplasia and skeletal Class III malocclusion, with conflicting evidence on mandibular asymmetry. This study evaluated vertical mandibular asymmetry in UCLP patients, comparing them with non-cleft individuals having skeletal Class III and Class I malocclusions. Methods Mandibular asymmetry was evaluated using orthopantomograms (OPGs) from 90 subjects divided into three groups of 30 each: UCLP group, non-cleft skeletal Class III, and non-cleft skeletal Class I.
View Article and Find Full Text PDFDifferent Composite Veneer Surface Preparations for Metal Orthodontic Bracket Bonding: An In Vitro Study.
Int J Dent
January 2025
Department of Orthodontics, School of Dentistry, Mashhad University of Medical Sciences, Mashhad, Iran.
This research aimed to assess the shear bond strength (SBS) of metal brackets bonded to composite veneers using different surface preparations. One-hundred composite disks were divided into 10 different groups whereby each group combines a surface preparation (roughening or no roughening), etching agent (37% phosphoric or 9.5% hydrofluoric acid), adhesive protocol (self-etch or total-etch), and bonding agent (with or without G-Premio Bond).
View Article and Find Full Text PDFDevelopment and Treatment of Radicular Cyst in Pediatric Patient-Case Report.
J Clin Med
January 2025
Department of Pediatric Dentistry and Preclinical Dentistry, Wroclaw Medical University, Krakowska 26, 50-425 Wroclaw, Poland.
Inflammation in the periapical area of primary teeth can affect the development and eruption of permanent teeth. In an asymptomatic course, they are detected accidentally during routine examinations. In such cases, they often reach significant dimensions and cause irreversible changes.
View Article and Find Full Text PDFThree-Dimensional Evaluation of the Effects of Different Treatment Methods on Pharyngeal Airways in Patients with Skeletal Class III Malocclusion.
Medicina (Kaunas)
January 2025
Department of Orthodontics, Faculty of Dentistry, Ataturk University, 25030 Erzurum, Turkey.
: The aim of this prospective study was to assess the effects of rapid maxillary expansion (RME) and/or face mask (FM) treatments on the pharyngeal airway in patients with skeletal Class III malocclusion caused by maxillary deficiency. This study utilized cone beam computed tomography (CIBT) for a three-dimensional (3D) analysis of airway changes, comparing the results with those of a control group consisting of untreated skeletal Class III patients. : The study included 60 participants (34 boys, 26 girls) aged 9 to 14 years, all diagnosed with skeletal Class III malocclusion due to maxillary underdevelopment.
View Article and Find Full Text PDF[Deep learning algorithms for intelligent construction of a three-dimensional maxillofacial symmetry reference plane].
Beijing Da Xue Xue Bao Yi Xue Ban
February 2025
Center for Digital Dentistry, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digi-tal Medical Devices & Beijing Key Laboratory of Digital Stomatology & NHC Research Center of Engineering and Technology for Computerized Dentistry, Beijing 100081, China.
Objective: To develop an original-mirror alignment associated deep learning algorithm for intelligent registration of three-dimensional maxillofacial point cloud data, by utilizing a dynamic graph-based registration network model (maxillofacial dynamic graph registration network, MDGR-Net), and to provide a valuable reference for digital design and analysis in clinical dental applications.
Methods: Four hundred clinical patients without significant deformities were recruited from Peking University School of Stomatology from October 2018 to October 2022. Through data augmentation, a total of 2 000 three-dimensional maxillofacial datasets were generated for training and testing the MDGR-Net algorithm.
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