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Relevant bibliographies by topics / Pre-Orthodontic Trainer

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Academic literature on the topic 'Pre-Orthodontic Trainer'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Pre-Orthodontic Trainer"

1

Aleksic, Ema, Maja Lalic, Jasmina Milic, Mihajlo Gajic, and Zdenka Stojanovic. "Dentofacial changes after treatment with prefabricated functional appliance T4CII." Serbian Dental Journal 60, no. 2 (2013): 93–98. http://dx.doi.org/10.2298/sgs1302093a.

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Introduction. Functional maxillary orthodontics has a large number of different mobile devices with different effects on craniomandibular system and great capabilities in solving many orthodontic problems. The aim of this article was to show the effects of 9-month treatment of malocclusion class II, division 1 in a 14-year-old female patient using pre-fabricated functional appliance Trainer T4CII. Case Outline. Skeletal distal relation, deep bite, increased overjet, narrowness and irregular position of upper and lower frontal teeth are indicated for orthodontic treatment with fixed appliance.

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2

Ramesh, R., Savitha N S, and Pavithra V Rao. "Case report on pre-orthodontic trainer in a 9-year-old child with 12 months follow up." International Journal of Pedodontic Rehabilitation 8, no. 1 (2023): 1–7. http://dx.doi.org/10.56501/intjpedorehab.v8i1.712.

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BACKGROUND: Pre-fabricated myofunctional appliances for early orthodontic therapy have been designed specifically for the care of children at the time of mixed dentition in growing adolescents with class II division 1 malocclusions. Sophisticated prefabricated removable functional appliances known as pre-orthodontic trainers have been shown to train the orofacial musculature, thus correcting malocclusions. CASE DESCRIPTION: This is a case report of 9-year-old boy diagnosed as Class II division 1 malocclusion with protruded upper anterior teeth, constricted upper arch, space loss in lower arch

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3

Satygo, E. A., A. V. Silin, and G. O. Ramirez-Yañez. "Electromyographic Muscular Activity Improvement in Class II Patients Treated with the Pre-Orthodontic Trainer." Journal of Clinical Pediatric Dentistry 38, no. 4 (2014): 380–84. http://dx.doi.org/10.17796/jcpd.38.4.2vh1603n62878673.

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Objective: A study was designed to determine changes in the amplitude of the EMG muscular activity of the Masseter and Temporalis muscles at clench in children with a Class II, division 1 malocclusion treated with the pre-orthodontic Trainer functional appliance, for 12 months. Study Design: 36 Class II, division 1 malocclusion patients (mean age 7.6 ± 1.3 years) composed the treated group and wore the functional appliance; 22 children with a similar age and malocclusion composed the untreated controls; and, 20 children with no dental malocclusion participated as normal controls. Electromyogra

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Bogdanov, Vladimir, Miroslava Dinkova, and Diana Tsakova. "Effect of pre-orthodontic trainer treatment on the masticatory and perioral muscles in patients with class II subdivision 1 malocclusion evaluated by surface EMG." Folia Medica 65, no. 5 (2023): 816–20. http://dx.doi.org/10.3897/folmed.65.e94741.

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Introduction: Myofunctional appliances have been shown to have a positive effect on the muscles in the facial area. Surface electromyography (sEMG) is one of the reliable methods used to investigate these effects. Aim: The aim of this follow-up study is to evaluate the effect of a myofunctional appliance T4K on the perioral and masticatory muscles in patients with class II subdivision 1 malocclusion by sEMG. Materials and methods: Sixteen children were treated with a Trainer appliance (T4K) for 9 months. The appliance should be worn every day for 1 hour and overnight. The EMG recordings were p

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Uysal, T., A. Yagci, S. Kara, and S. Okkesim. "Influence of Pre-Orthodontic Trainer treatment on the perioral and masticatory muscles in patients with Class II division 1 malocclusion." European Journal of Orthodontics 34, no. 1 (2011): 96–101. http://dx.doi.org/10.1093/ejo/cjq169.

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Khazal, Afrah, Nada Alhafidh, and Lamiaa Hassan. "Pre-Orthodontic Myofunctional Trainers Appliance System: A Review." Al-Rafidain Dental Journal 22, no. 1 (2022): 46–55. http://dx.doi.org/10.33899/rdenj.2022.129848.1096.

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7

Han, Miaomiao, Zhengqun Huo, Jiangyan Ren, et al. "Automated Landmark Detection and Lip Thickness Classification Using a Convolutional Neural Network in Lateral Cephalometric Radiographs." Diagnostics 15, no. 12 (2025): 1468. https://doi.org/10.3390/diagnostics15121468.

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Objective: The objective of this study is to develop a convolutional neural network (CNN) for the automatic detection of soft and hard tissue landmarks and the classification of lip thickness on lateral cephalometric radiographs. Methods: A dataset of 1019 pre-orthodontic lateral cephalograms from patients with diverse malocclusions was utilized. A CNN-based model was trained to automatically detect 22 cephalometric landmarks. Upper and lower lip thicknesses were measured using some of these landmarks, and a pre-trained decision tree model was employed to classify lip thickness into the thin,

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El Bsat, Abdul Rehman, Elie Shammas, Daniel Asmar, et al. "Semantic Segmentation of Maxillary Teeth and Palatal Rugae in Two-Dimensional Images." Diagnostics 12, no. 9 (2022): 2176. http://dx.doi.org/10.3390/diagnostics12092176.

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The superimposition of sequential radiographs of the head is commonly used to determine the amount and direction of orthodontic tooth movement. A harmless method includes the timely unlimited superimposition on the relatively stable palatal rugae, but the method is performed manually and, if automated, relies on the best fit of surfaces, not only rugal structures. In the first step, motion estimation requires segmenting and detecting the location of teeth and rugae at any time during the orthodontic intervention. Aim: to develop a process of tooth segmentation that eliminates all manual steps

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Mureșanu, Sorana, Mihaela Hedeșiu, Liviu Iacob, et al. "Automating Dental Condition Detection on Panoramic Radiographs: Challenges, Pitfalls, and Opportunities." Diagnostics 14, no. 20 (2024): 2336. http://dx.doi.org/10.3390/diagnostics14202336.

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Background/Objectives: The integration of AI into dentistry holds promise for improving diagnostic workflows, particularly in the detection of dental pathologies and pre-radiotherapy screening for head and neck cancer patients. This study aimed to develop and validate an AI model for detecting various dental conditions, with a focus on identifying teeth at risk prior to radiotherapy. Methods: A YOLOv8 model was trained on a dataset of 1628 annotated panoramic radiographs and externally validated on 180 radiographs from multiple centers. The model was designed to detect a variety of dental cond

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Rao, S. K., M. Bhat, and J. David. "Work, Stress, and Diurnal Bruxism: A Pilot Study among Information Technology Professionals in Bangalore City, India." International Journal of Dentistry 2011 (2011): 1–5. http://dx.doi.org/10.1155/2011/650489.

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The study assessed the prevalence of diurnal bruxism among information technology (IT) professionals and explored plausible predictors associated with the parafunctional habit. A cross-sectional study was designed and IT professionals were invited to participate. The inclusion criteria composed of participants in service for at least one year, having natural dentition, no history of cervical or facial injury and not undergoing orthodontic therapy. The participants () were interviewed by a trained interviewer to record information. A pre-tested questionnaire that included questions related to w

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Conference papers on the topic "Pre-Orthodontic Trainer"

1

Okkesim, Sukru, Sadik Kara, Tancan Uysal, and Ahmet Yagci. "Analysis of the electromyogram to evaluate the effect of Pre Orthodontic Trainer during sucking on an empty straw." In 2007 9th International Symposium on Signal Processing and Its Applications (ISSPA). IEEE, 2007. http://dx.doi.org/10.1109/isspa.2007.4555506.

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