858 resultados para Lingual appliance


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Submitted in partial fulfillment of the requirements for a Certificate in Orthodontics, Dept. of Orthodontics, University of Connecticut Health Center, 1986

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Pela sua característica essencialmente estética, o aparelho lingual vem despertando interesse por parte dos ortodontistas e da comunidade em geral. O crescente mercado dos serviços de beleza, em todos os setores (médicos, odontológicos, cosméticos), influencia o ressurgimento da técnica lingual. Biomecanicamente diferente da técnica convencional, a técnica lingual necessita de um conhecimento e treinamento diferenciado do profissional que a executa. Verificar as diferenças, encontradas na literatura, com relação às duas técnicas é o objetivo deste trabalho, como parte do processo de amadurecimento e treinamento profissional confirmando a técnica lingual como mais uma opção segura de tratamento ortodôntico.

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The purpose of this retrospective investigation was to evaluate the dentoalveolar and skeletal cephalometric changes of the Bionator appliance on individuals with a Class II division 1 malocclusion. Lateral cephalograms of 44 patients were divided into two equal groups. The control group comprised 22 untreated Class II children (11 males, 11 females), with an initial mean age of 8 years 7 months who were followed without treatment for a period of 13 months. The Bionator group (111 males, 11 females) had an initial mean age of 10 years 8 months, and were treated for a mean period of 16 months. Lateral cephalometric headfilms were obtained of each patient and control at the beginning and end of treatment.The results showed that there were no changes in forward growth of the maxilla in the experimental group compared with the control group. However, the Bionator treatment produced a statistically significant increase in mandibular protrusion, and in total mandibular and body lengths. There were no statistically significant differences in craniofacial growth direction between the Bionator group and the control group, although the treated patients demonstrated a greater increase in posterior face height. The Bionator appliance produced labial tipping of the lower incisors and lingual inclination of the upper incisors, as well as a significant increase (P < 0.01) in mandibular posterior dentoalveolar height. The major effects of the Bionator appliance were dentoalveolar, with a smaller significant skeletal effect. The results indicate that the correction of a Class II division 1 malocclusion with the Bionator appliance is achieved not only by a combination of mandibular skeletal effects, but also by significant dentoalveolar changes.

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The purpose of this investigation was to evaluate the dentoalveolar and skeletal cephalometric changes produced by the Fränkel appliance in individuals with a Class II, division 1 malocclusion. Lateral cephalograms of 44 patients of both sexes were divided in two groups of 22 each. The control group was comprised of untreated Class II children with an initial mean age of eight years and seven months who were followed without treatment for a period of 13 months. The Fränkel group had an initial mean age of nine years and was treated for a mean period of 17 months. Lateral cephalometric headfilms of each patient were obtained at the beginning and end of treatment. The Fränkel appliance produced no significant changes in maxillary growth during the evaluation period, while a statistically significant increase in mandibular length was observed. The maxillomandibular relationship improved mostly because of an increase in mandibular length. In addition, there were no statistically significant differences in the craniofacial growth direction between the Fränkel and the control group, both showing a slight downward rotation of the palatal plane. The Fränkel appliance produced a labial tipping of the lower incisors and a lingual inclination of the upper incisors as well as a significant increase in mandibular posterior dentoalveolar height. It was concluded that the main effects of the Fränkel appliance during this time period were mostly dentoalveolar with a smaller but significant skeletal mandibular effect.

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Pós-graduação em Ciências Odontológicas - FOAR

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O objetivo desse trabalho foi avaliar a higiene oral de pacientes adultos, pela análise dos índices de sangramento gengival e de placa pré e pós-colocação do aparelho ortodôntico fixo lingual e compará-la a um grupo de pacientes com aparelho ortodôntico fixo labial. O grupo 1 (G1), foi constituído de 11 pacientes, com idade média de 22 anos e 9 meses, tratado com braquetes linguais. O grupo 2 (G2) foi formado por 19 pacientes, com idade média de 26 anos e 8 meses, tratado com braquetes labiais. O sangramento gengival e o índice de placa foram avaliados antes da colagem (T0); 1 semana/15 dias após a colocação total do aparelho, inclusive com arcos (T1). Após isso, foram dadas instruções de higienização. Os pacientes foram novamente avaliados 1 mês após a colocação (T2); 2 meses (T3) e 3 meses (T4), quando foram dados reforços das instruções conforme necessário. Nas avaliações inter-grupos, foram comparadas as alterações relativas ao tipo de aparelho empregado e nas avaliações intra-grupos comparou-se a face vestibular e lingual de um mesmo indivíduo. Os resultados mostraram que houve um significante aumento no índice de placa em T1, exceto na face vestibular dos pacientes com aparelho lingual. Em ambos os grupos, houve um aumento semelhante da gengivite caracterizada pelo aumento do sangramento gengival. Após as instruções de escovação, os pacientes do G2 foram capazes de retornar aos seus índices de placa anteriores à colocação do aparelho. Os pacientes do G1, apesar de haver melhora, não conseguiram voltar aos índices de placa iniciais e tiveram uma menor eficácia de higienização comparado a G2 em T1 e T4.

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O objetivo deste estudo prospectivo foi avaliar os efeitos do aparelho Forsus® nos incisivos centrais superiores e inferiores. A amostra constituiu-se de 22 tomografias computadorizadas de 11 pacientes (sexo masculino e feminino) idade média de 15,8 anos com má oclusão de Classe II que foram tratados com o aparelho Forsus® na clínica do programa de pós-graduação em Odontologia, área de concentração Ortodontia, da Universidade Metodista de São Paulo. As tomografias foram obtidas em dois momentos T1 (final de nivelamento e antes da instalação do Forsus® e T2 (remoção do Forsus®). Para avaliar a distância do ápice até a tábua óssea, as imagens a serem examinadas foram obtidas com o auxílio do viewer do próprio i-CAT® , o iCATVision® e examinadas com o CorelDRAW X5® já para as medidas cefalométricas IMPA e 1.PP as imagens cefalométricas ortogonais foram obtidas em proporção 1:1 com auxílio do software Dolphin 3D® (Dolphin Imaging and Management Solutions, Chatsworth, EUA) e em seguida examinadas com o software Radiocef Studio 2 (Radio Memory, Belo Horizonte, Brasil). Para a obtenção do erro intra-examinador foi feito o teste t de Student pareado para o erro sistemático e a fórmula de DAHLBERG para estimar a ordem de grandeza dos erros casuais e na análise estatística dos resultados utilizou-se: o teste t para a determinação das diferenças entres as fases de observação e o teste de correlação de Pearson para avaliar a correlação entres as alterações. Observou-se: um aumento significativo (p<0,05) tanto no IMPA quanto no 1.PP, aproximação do ápice dos incisivos inferiores da tábua óssea lingual, aproximação do ápice dos incisivos superiores da tábua óssea vestibular, uma correlação negativa muito forte entre o IMPA e a distância do ápice do incisivo até a tábua óssea lingual e uma correlação negativa moderada entre 1.PP e a distância do ápice do incisivo até a tábua óssea vestibular. Sendo assim o aparelho Forsus® no tratamento da Classe II teve como efeito: vestibularização significativa dos incisivos centrais inferiores, uma verticalização significativa dos incisivos centrais superiores, aproximação do ápice dos incisivos inferiores da cortical óssea lingual e aproximação do ápice dos incisivos superiores da cortical óssea vestibular.

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At NTCIR-9, we participated in the cross-lingual link discovery (Crosslink) task. In this paper we describe our approaches to discovering Chinese, Japanese, and Korean (CJK) cross-lingual links for English documents in Wikipedia. Our experimental results show that a link mining approach that mines the existing link structure for anchor probabilities and relies on the “translation” using cross-lingual document name triangulation performs very well. The evaluation shows encouraging results for our system.

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This paper presents an overview of NTCIR-9 Cross-lingual Link Discovery (Crosslink) task. The overview includes: the motivation of cross-lingual link discovery; the Crosslink task definition; the run submission specification; the assessment and evaluation framework; the evaluation metrics; and the evaluation results of submitted runs. Cross-lingual link discovery (CLLD) is a way of automatically finding potential links between documents in different languages. The goal of this task is to create a reusable resource for evaluating automated CLLD approaches. The results of this research can be used in building and refining systems for automated link discovery. The task is focused on linking between English source documents and Chinese, Korean, and Japanese target documents.

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This paper describes the evaluation in benchmarking the effectiveness of cross-lingual link discovery (CLLD). Cross lingual link discovery is a way of automatically finding prospective links between documents in different languages, which is particularly helpful for knowledge discovery of different language domains. A CLLD evaluation framework is proposed for system performance benchmarking. The framework includes standard document collections, evaluation metrics, and link assessment and evaluation tools. The evaluation methods described in this paper have been utilised to quantify the system performance at NTCIR-9 Crosslink task. It is shown that using the manual assessment for generating gold standard can deliver a more reliable evaluation result.

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In this paper we examine automated Chinese to English link discovery in Wikipedia and the effects of Chinese segmentation and Chinese to English translation on the hyperlink recommendation. Our experimental results show that the implemented link discovery framework can effectively recommend Chinese-to-English cross-lingual links. The techniques described here can assist bi-lingual users where a particular topic is not covered in Chinese, is not equally covered in both languages, or is biased in one language; as well as for language learning.

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Cross-Lingual Link Discovery (CLLD) is a new problem in Information Retrieval. The aim is to automatically identify meaningful and relevant hypertext links between documents in different languages. This is particularly helpful in knowledge discovery if a multi-lingual knowledge base is sparse in one language or another, or the topical coverage in each language is different; such is the case with Wikipedia. Techniques for identifying new and topically relevant cross-lingual links are a current topic of interest at NTCIR where the CrossLink task has been running since the 2011 NTCIR-9. This paper presents the evaluation framework for benchmarking algorithms for cross-lingual link discovery evaluated in the context of NTCIR-9. This framework includes topics, document collections, assessments, metrics, and a toolkit for pooling, assessment, and evaluation. The assessments are further divided into two separate sets: manual assessments performed by human assessors; and automatic assessments based on links extracted from Wikipedia itself. Using this framework we show that manual assessment is more robust than automatic assessment in the context of cross-lingual link discovery.

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This paper presents an overview of NTCIR-10 Cross-lingual Link Discovery (CrossLink-2) task. For the task, we continued using the evaluation framework developed for the NTCIR-9 CrossLink-1 task. Overall, recommended links were evaluated at two levels (file-to-file and anchor-to-file); and system performance was evaluated with metrics: LMAP, R-Prec and P@N.