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1.
Int J Oral Maxillofac Surg ; 49(3): 333-341, 2020 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-31353172

RESUMO

Skeletal advancement surgery with sagittal split ramus osteotomy (SSRO) or mandibular distraction osteogenesis (MDO) is effective in treating patients with obstructive sleep apnoea (OSA) and may improve their quality of life (QoL). This study aimed to evaluate the longitudinal QoL changes in moderate-to-severe OSA patients after skeletal advancement surgery. Eighteen patients were randomized to receive SSRO (n=9) or MDO (n=9) alone or as part of the skeletal advancement surgery. Baseline QoL was compared with that of a control group (n=36). QoL was compared between the SSRO group and MDO group over a period of 2 years postoperative. The Epworth Sleepiness Scale (ESS), Calgary Sleep Apnea Quality of Life Index (SAQLI), Functional Outcomes of Sleep Questionnaire (FOSQ), and Short Form Health Survey (SF-36) were used as instruments. The OSA group had worse ESS, SF-36, FOSQ, and SAQLI preoperatively than the control group. The MDO and SSRO groups showed significant improvements in ESS at all postoperative time points (P≤0.021). The FOSQ, SAQLI, and SF-36 of both groups at 2 years postoperative were similar to those of the control group. No differences in QoL were found between the SSRO and MDO groups. This study showed QoL was improved in patients with moderate-to-severe OSA after skeletal advancement surgery by SSRO or MDO.


Assuntos
Avanço Mandibular , Qualidade de Vida , Apneia Obstrutiva do Sono , Humanos , Estudos Longitudinais , Resultado do Tratamento
2.
Int J Oral Maxillofac Surg ; 41(11): 1427-38, 2012 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-22704592

RESUMO

This systematic review was performed to investigate the usefulness and clinical effectiveness of skeletal anchorage devices to determine the most effective bone anchor system for orthodontic tooth movement. Literature on bone anchorage devices was selected from PubMed and the Cochrane Library from January 1966 to June 2010. 55 publications regarding miniplates, miniscrews, palatal implants and dental implants as orthodontic anchorage were identified for further analysis. All bone anchorage devices were found to have relatively high success rates and demonstrated their ability to provide absolute anchorage for orthodontic tooth movement. Significant tooth movement could be achieved with low morbidities and good patient acceptance. The reported success rates for the four groups of anchorage systems were generally high with slight variability (miniplates 91.4-100%; palatal implants 74-93.3%; miniscrews 61-100%; dental implants 100%). It was concluded that bone anchorage systems can achieve effective orthodontic movement with low morbidities. The success rate is generally high with slight variability between miniplates, palatal implants, miniscrews and dental implants. Owing to the lack of randomized controlled trials, there is no strong evidence to confirm which bone anchor system is the most effective for orthodontic tooth movement.


Assuntos
Procedimentos de Ancoragem Ortodôntica/instrumentação , Placas Ósseas , Parafusos Ósseos , Implantes Dentários , Humanos
3.
Conf Proc IEEE Eng Med Biol Soc ; 2005: 3206-9, 2005.
Artigo em Inglês | MEDLINE | ID: mdl-17282927

RESUMO

Image registration is one of the image processing methods which is widely used in computer vision, pattern recognition, and medical imaging. In digital subtraction radiography, image registration is one of the important prerequisites to match the reference and subsequent images. In this paper, we propose an automatic non-rigid registration method namely curvature-based registration that relies on a curvature based penalizing term and its application on dental radiography. The regularizing term of this intensity-based registration approach provides affine linear transformation so that pre-registration step is no longer necessary. This leads to faster and more reliable solutions. The implementation of this approach is based on the numerical solution of the underlying Euler-Lagrange equations. In addition, a comparison between this algorithm and Linear Alignment Method (LAM) with 20 image pairs is presented.

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