Tratamiento de la deformidad facial causada por la hiperplasia condilar: relato de caso

The condylar hyperplasia is an acquired development anomaly, rare, characterized by an excessive and progressive growing, affecting neck, condilar head, body and the mandible bough, provoking an important facial asymmetry. In the article we present a case of male patient, 22-years-old, reclaiming of painful sintomatology in the region of temporomandibular joint and severe facial asymmetry. It was instituted an orthodontic-surgical treatment by means of orthognathic combined surgery and high condilectomy. After six years of post-surgical controlling, the patient is now in a good shape, without recurrence of facial asymmetry and condylar hyperplasia.

Treatment of severe facial asymmetry secondary to osteochondroma of the mandibular condyle: case report

Osteochondroma (OC) is the most common benign tumor of long bones. However it is rarely found in the facial skeleton, being the coronoid process and mandibular condyle the most affected sites in this region. It basically consists in bone growth covered by cartilage. The etiology is still controversial: neoplastic, developmental, reparative and traumatic origins have been discussed in literature. The treatments of these lesions include total condylectomy or local resection of the lesion. This paper aims to report a case of a patient with history of trauma and possible fracture of the mandibular condyle in childhood, which in youth developed dentofacial deformity with severe facial asymmetry. The treatment consisted of resection of lesion both with maxillary and mandibular osteotomies associated with graft from the iliac crest bone. Actually, the patient is with a favorable aesthetic, without functional deficit and absence of lesion’s recurrence.

Ortodontia em saúde pública: pistas planas como tratamento alternativo na correção precoce da má oclusão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Características morfológicas dentoesqueléticas das más oclusões de classe I, classe II e classe II subdivisão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Habilidade de ortodontistas e leigos na percepção de assimetrias da mandíbula

OBJETIVO: analisar a habilidade de ortodontistas e leigos para perceber as assimetrias faciais causadas por desvios mandibulares. MÉTODOS: foram obtidas fotografias frontais da face de dois indivíduos, sendo um do sexo masculino e outro do sexo feminino. As fotografias foram tiradas em Posição Natural de Cabeça (PNC) com desvios mandibulares progressivos — em 2, 4 e 6mm —, partindo-se da posição de Máxima Intercuspidação Habitual (MIH). Para testar a reprodutibilidade do método, utilizaram-se os Coeficientes de Correlação Intraclasse (ICC) e o teste de Kappa ponderado.As diferenças entre os examinadores leigos e ortodontistas foram investigadas através do teste de Mann-Whitney, enquanto a análise de Friedman foi utilizada para investigar as diferenças nos escores para os progressivos avanços mandibulares. Todas as estatísticas foram executadas com nível de confiabilidade de 95%. RESULTADOS: os ortodontistas foram hábeis em perceber os desvios somente a partir de 4mm, quando comparados à posição de MIH (p≤0,05), enquanto os leigos tiveram o mesmo padrão para o indivíduo do sexo feminino. Porém, ao examinar o sujeito do sexo masculino, os leigos não observaram nenhuma alteração executada a partir de MIH (p>0,05). De modo geral, apesar de as medianas atribuídas pelos ortodontistas terem sido menores que as dos leigos, essa diferença foi significativa apenas para o desvio de 6mm, em ambos os pacientes. CONCLUSÕES: ortodontistas e leigos avaliaram a assimetria mandibular de modo diferente, visto que ortodontistas tendem a ser mais críticos quando as assimetrias são mais severas. Conclui-se, ainda, que existe variação na avaliação das assimetrias faciais dependendo do paciente examinado, principalmente entre os examinadores leigos.

Lateral cephalometric diagnosis of asymmetry in Angle Class II subdivision compared to Class I and II

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Reabilitação estética por meio de prótese ocular a base de PMMA: relato de caso

Eye loss results on facial asymmetry compromising its aesthetics. Ocular prostheses are important to re-establish aesthetics; protect the anophthalmic cavity; recover function such as the redirection of lachrymatory liquid; and reintegrate the patient to society. The aim of this study was to describe a case report, demonstrating clinical and laboratorial procedures for confection of ocular prostheses and highlighting their advantages. A female patient was afflicted by toxoplasmosis, which led to the loss of her eye. An eye visceration was performed. The patient reported no previous use of ocular prosthesis. A PMMA ocular prosthesis was manufactured restoring patient’s aesthetic and facial contour. The patient was satisfied with the treatment. Therefore the present study has shown that PMMA ocular prosthesis is able to restore facial aesthetics and can be a safe and satisfactory alternative for patients that have lost their eyes due to toxoplasmosis.

Fibroma ossificante periférico: relato de caso

The Peripheral ossifying fibroma is a reactive proliferative lesion, non neoplastic, slow growth, which can produce recurrence after removal. It´s etiology is uncertain, but is associated with local irritants, and is found mostly in the anterior maxilla. Clinically it is characterized by an asymptomatic increase in volume, which may, over time, facial asymmetry. The aim of this paper is to describe a case of peripheral ossifying fibroma in a patient 40, female, exophytic lesion in the jaw, unusual for its large dimensions and with a history of three recurrences, leading to facial asymmetry. She underwent surgery to remove the lesion along with the likely irritants, and the pathological diagnosis of peripheral ossifying fibroma. We conclude that it is fundamentally important for complete removal of the lesion to reduce the tendency to relapse, including the periosteum and the periodontal ligament, in addition to possible causes.

Low-level laser therapy in pediatric Bell's palsy: case report in a three-year-old child

Objectives: The objective of this study was to apply low-level laser therapy (LLLT) to accelerate the recovery process of a child patient with Bell's palsy (BP). Design: This was a prospective study. Subject: The subject was a three-year-old boy with a sudden onset of facial asymmetry due to an unknown cause. Materials and methods: The low-level laser source used was a gallium aluminum arsenide semiconductor diode laser device (660nm and 780 nm). No steroids or other medications were given to the child. The laser beam with a 0.04-cm2 spot area, and an aperture with approximately 1-mm diameter, was applied in a continuous emission mode in direct contact with the facial area. The duration of a laser session was between 15 and 30 minutes, depending on the chosen points and the area being treated. Light was applied 10 seconds per point on a maximum number of 80 points, when the entire affected (right) side of the face was irradiated, based on the small laser beam spot size. According to the acupuncture literature, this treatment could also be carried out using 10-20 Chinese acupuncture points, located unilaterally on the face. In this case study, more points were used because the entire affected side of the face (a large area) was irradiated instead of using acupuncture points. Outcome measures: The House-Brackmann grading system was used to monitor the evolution of facial nerve motor function. Photographs were taken after every session, always using the same camera and the same magnitude. The three-year-old boy recovered completely from BP after 11 sessions of LLLT. There were 4 sessions a week for the first 2 weeks, and the total treatment time was 3 weeks. Results: The result of this study was the improvement of facial movement and facial symmetry, with complete reestablishment to normality. Conclusions: LLLT may be an alternative to speed up facial normality in pediatric BP.

An application of fractal image-set coding in facial recognition

Faces are complex patterns that often differ in only subtle ways. Face recognition algorithms have difficulty in coping with differences in lighting, cameras, pose, expression, etc. We propose a novel approach for facial recognition based on a new feature extraction method called fractal image-set encoding. This feature extraction method is a specialized fractal image coding technique that makes fractal codes more suitable for object and face recognition. A fractal code of a gray-scale image can be divided in two parts – geometrical parameters and luminance parameters. We show that fractal codes for an image are not unique and that we can change the set of fractal parameters without significant change in the quality of the reconstructed image. Fractal image-set coding keeps geometrical parameters the same for all images in the database. Differences between images are captured in the non-geometrical or luminance parameters – which are faster to compute. Results on a subset of the XM2VTS database are presented.

Selecting, optimizing and fusing ‘salient’ Gabor features for facial expression recognition

This paper describes a novel framework for facial expression recognition from still images by selecting, optimizing and fusing ‘salient’ Gabor feature layers to recognize six universal facial expressions using the K nearest neighbor classifier. The recognition comparisons with all layer approach using JAFFE and Cohn-Kanade (CK) databases confirm that using ‘salient’ Gabor feature layers with optimized sizes can achieve better recognition performance and dramatically reduce computational time. Moreover, comparisons with the state of the art performances demonstrate the effectiveness of our approach.

Facial feature detection for in-car environment

Acoustically, vehicles are extremely noisy environments and as a consequence audio-only in-car voice recognition systems perform very poorly. Seeing that the visual modality is immune to acoustic noise, using the visual lip information from the driver is seen as a viable strategy in circumventing this problem. However, implementing such an approach requires a system being able to accurately locate and track the driver’s face and facial features in real-time. In this paper we present such an approach using the Viola-Jones algorithm. Using this system, we present our results which show that using the Viola-Jones approach is a suitable method of locating and tracking the driver’s lips despite the visual variability of illumination and head pose.

Exploring visual features through Gabor representations for facial expression detection

Gabor representations have been widely used in facial analysis (face recognition, face detection and facial expression detection) due to their biological relevance and computational properties. Two popular Gabor representations used in literature are: 1) Log-Gabor and 2) Gabor energy filters. Even though these representations are somewhat similar, they also have distinct differences as the Log-Gabor filters mimic the simple cells in the visual cortex while the Gabor energy filters emulate the complex cells, which causes subtle differences in the responses. In this paper, we analyze the difference between these two Gabor representations and quantify these differences on the task of facial action unit (AU) detection. In our experiments conducted on the Cohn-Kanade dataset, we report an average area underneath the ROC curve (A`) of 92.60% across 17 AUs for the Gabor energy filters, while the Log-Gabor representation achieved an average A` of 96.11%. This result suggests that small spatial differences that the Log-Gabor filters pick up on are more useful for AU detection than the differences in contours and edges that the Gabor energy filters extract.

Temporal-based support vector machines for facial expression recognition

When classifying a signal, ideally we want our classifier to trigger a large response when it encounters a positive example and have little to no response for all other examples. Unfortunately in practice this does not occur with responses fluctuating, often causing false alarms. There exists a myriad of reasons why this is the case, most notably not incorporating the dynamics of the signal into the classification. In facial expression recognition, this has been highlighted as one major research question. In this paper we present a novel technique which incorporates the dynamics of the signal which can produce a strong response when the peak expression is found and essentially suppresses all other responses as much as possible. We conducted preliminary experiments on the extended Cohn-Kanade (CK+) database which shows its benefits. The ability to automatically and accurately recognize facial expressions of drivers is highly relevant to the automobile. For example, the early recognition of “surprise” could indicate that an accident is about to occur; and various safeguards could immediately be deployed to avoid or minimize injury and damage. In this paper, we conducted initial experiments on the extended Cohn-Kanade (CK+) database which shows its benefits.