Portadores de vitiligo: estudo das emissões otoacústicas e efeito de supressão

Vitiligo é uma doença cutânea, caracterizada pela ausência da melanina, por destruição de melanócitos. OBJETIVO: Verificar a ocorrência de alteração auditiva em indivíduos com vitiligo. MÉTODO: Avaliação audiológica, pesquisa das emissões otoacústicas evocadas transientes e do efeito de supressão em estudo prospectivo de 24 pacientes com vitiligo. A faixa etária variou de 15 a 45 anos. RESULTADOS: 21 pacientes (87.5%) apresentaram audiometria normal; dois apresentaram perda auditiva unilateral em freqüências altas e um apresentou perda coclear de grau moderado à esquerda. Destes 21 sujeitos, 66,7% tiveram ausência de emissões, sugerindo disfunção coclear. As emissões estiveram presentes em todas as bandas de freqüência em apenas 7 pacientes (29,2%) e ausentes em 17 (70,8%), com maior ocorrência de falha no sexo masculino, na orelha direita. Na pesquisa da supressão, seis indivíduos falharam, todos do sexo feminino, sendo a orelha esquerda a mais afetada. CONCLUSÃO: Pela análise das emissões otoacústicas verificou-se que os portadores de vitiligo possuem maior predisposição à disfunção coclear, com maior ocorrência no sexo masculino na orelha direita. Quanto ao efeito de supressão, houve maior alteração no sistema eferente em mulheres, com maior ausência à esquerda. As alterações auditivas não diferiram quanto à idade, tipo de vitiligo e tempo de evolução da doença.

Crianças com fissura isolada de palato: desempenho nos testes de processamento auditivo

Muitas crianças com transtorno de processamento auditivo têm uma prevalência alta de otite média, alteração na orelha média de grande ocorrência na população com fissura labiopalatina. OBJETIVO: Verificar o desempenho de crianças com fissura isolada de palato (FP) em testes do processamento auditivo. Estudo prospectivo. MATERIAL E MÉTODO: Vinte crianças (7 a 11 anos) com FP foram submetidas aos testes de localização sonora (LS), memória para sons verbais (MSSV) e não-verbais em seqüência (MSSNV), Fusão Auditiva-Revisado (AFT-R), Teste Pediátrico de Inteligibilidade de Fala/Sentenças Sintéticas (PSI/SSI), Dissílabos alternados (SSW) e Dicótico de dígitos (DD). O desempenho das crianças nos testes foi classificado em ruim e bom. RESULTADOS: Não houve diferença estatística entre os gêneros e orelhas. Os valores médios obtidos foram 2,16, 2,42, 4,37, 60,50ms, de 40,71 a 67,33%, 96,25 a 99,38%, 73,55 a 73,88% e 58,38 a 65,47%, respectivamente, para os testes MSSNV, MSSV, LS, AFT-R, PSI/SSI com mensagem competitiva ipsilateral (PSI/SSIMCI) e contralateral (PSI/SSI/MCC), DD e SSW. CONCLUSÃO: Uma alta porcentagem de crianças demonstrou seus piores desempenhos nos testes AFT-R, DD, SSW e no teste PSI/SSIMCI. Os melhores desempenhos ocorreram nos testes de localização sonora, memória seqüencial para sons não verbais e verbais e para PSI/SSIMCC.

Potencial evocado auditivo de longa latência-P300 em indivíduos normais: valor do registro simultâneo em Fz e Cz

O P300 é um Potencial Evocado Auditivo denominado potencial endógeno por refletir o uso funcional que o indivíduo faz do estímulo auditivo, sendo altamente dependente das habilidades cognitivas, entre elas atenção e discriminação auditiva. É um procedimento de avaliação objetiva, mas que depende da experiência do avaliador em detectar os picos das ondas, sendo importante a utilização de métodos de registro que facilitem a análise da presença de resposta e a interpretação dos resultados. OBJETIVO: Analisar o Potencial Evocado Auditivo de Longa Latência-P300 obtido com a utilização de dois eletrodos ativos posicionados em Fz e Cz. MATERIAIS E MÉTODOS: Participaram deste estudo 33 indivíduos de ambos os gêneros com idade entre 7 e 34 anos, audição normal e sem fator de risco para problemas mentais. RESULTADOS: Os resultados demonstraram que não houve diferença estatisticamente significante para a latência de N2 e P3 e amplitude do P3 quando analisado o gênero e nem correlação com a idade dos indivíduos. Houve forte correlação destas medidas com o posicionamento dos eletrodos em Fz e Cz. CONCLUSÃO: O posicionamento dos eletrodos ativos em Fz e Cz pode ser considerado um recurso a mais para auxiliar na análise clínica do P300.

Características audiológicas de idosos com Vertigem Posicional Paroxística Benigna

A Vertigem Posicional Paroxística Benigna (VPPB) é uma das causas mais comuns de tontura, sendo a desordem vestibular mais comum em idosos vertiginosos. Seu quadro clínico característico é tontura ao movimentar a cabeça, com ausência de alterações auditivas. OBJETIVO: Este trabalho tem como objetivo verificar as características audiológicas de idosos com VPPB de canal posterior. MATERIAL E MÉTODO: Foi realizada uma análise retrospectiva de exames de audiometria tonal limiar de 37 idosos com VPPB de canal posterior e de 37 idosos sem nenhuma queixa de tontura e/ou vertigem, sendo observadas as características audiológicas dos dois grupos estudados. RESULTADOS: Ambos os grupos apresentaram altos índices de perda auditiva, sendo observada, predominantemente, perda auditiva do tipo neurossensorial descendente, não havendo diferença estatisticamente significante entre os grupos. CONCLUSÃO: Diante desses dados, podemos concluir que a VPPB de canal posterior não tem influência sobre as características da perda auditiva em idosos, porém, devido à degeneração espontânea do sistema vestíbulo-coclear, tal população tem prevalência de perda auditiva.

Application to quantify fetal lung branching on rat explants

Recently, regulating mechanisms of branching morphogenesis of fetal lung rat explants have been an essential tool for molecular research. The development of accurate and reliable segmentation techniques may be essential to improve research outcomes. This work presents an image processing method to measure the perimeter and area of lung branches on fetal rat explants. The algorithm starts by reducing the noise corrupting the image with a pre-processing stage. The outcome is input to a watershed operation that automatically segments the image into primitive regions. Then, an image pixel is selected within the lung explant epithelial, allowing a region growing between neighbouring watershed regions. This growing process is controlled by a statistical distribution of each region. When compared with manual segmentation, the results show the same tendency for lung development. High similarities were harder to obtain in the last two days of culture, due to the increased number of peripheral airway buds and complexity of lung architecture. However, using semiautomatic measurements, the standard deviation was lower and the results between independent researchers were more coherent

People Detection and Tracking using Depth Camera

In this paper we present a method for real-time detection and tracking of people in video captured by a depth camera. For each object to be assessed, an ordered sequence of values that represents the distances between its center of mass to the boundary points is calculated. The recognition is based on the analysis of the total distance value between the above sequence and some pre-defined human poses, after apply the Dynamic Time Warping. This similarity approach showed robust results in people detection.

Pectus Excavatum postsurgical outcome based on preoperative soft body dynamics simulation

Pectus excavatum is the most common congenital deformity of the anterior chest wall, in which an abnormal formation of the rib cage gives the chest a caved-in or sunken appearance. Today, the surgical correction of this deformity is carried out in children and adults through Nuss technic, which consists in the placement of a prosthetic bar under the sternum and over the ribs. Although this technique has been shown to be safe and reliable, not all patients have achieved adequate cosmetic outcome. This often leads to psychological problems and social stress, before and after the surgical correction. This paper targets this particular problem by presenting a method to predict the patient surgical outcome based on pre-surgical imagiologic information and chest skin dynamic modulation. The proposed approach uses the patient pre-surgical thoracic CT scan and anatomical-surgical references to perform a 3D segmentation of the left ribs, right ribs, sternum and skin. The technique encompasses three steps: a) approximation of the cartilages, between the ribs and the sternum, trough b-spline interpolation; b) a volumetric mass spring model that connects two layers - inner skin layer based on the outer pleura contour and the outer surface skin; and c) displacement of the sternum according to the prosthetic bar position. A dynamic model of the skin around the chest wall region was generated, capable of simulating the effect of the movement of the prosthetic bar along the sternum. The results were compared and validated with patient postsurgical skin surface acquired with Polhemus FastSCAN system

Variations of the soft tissue thicknesses external to the ribs in Pectus Excavatum patients

Background: Surgical repair of pectus excavatum (PE) has become more popular due to improvements in the minimally invasive Nuss procedure. The pre-surgical assessment of PE patients requires Computerized Tomography (CT), as the malformation characteristics vary from patient to patient. Objective: This work aims to characterize soft tissue thickness (STT) external to the ribs among PE patients. It also presents a comparative analysis between the anterior chest wall surface before and after surgical correction. Methods: Through surrounding tissue segmentation in CT data, STT values were calculated at different lines along the thoracic wall, with a reference point in the intersection of coronal and median planes. The comparative analysis between the two 3D anterior chest surfaces sets a surgical correction influence area (SCIA) and a volume of interest (VOI) based on image processing algorithms, 3D surface algorithms, and registration methods. Results: There are always variations between left and right side STTs (2.54±2.05 mm and 2.95±2.97 mm for female and male patients, respectively). STTs are dependent on age, sex, and body mass index of each patient. On female patients, breast tissue induces additional errors in bar manual

Automated image analysis of lung branching morphogenesis from microscopic images of fetal rat explants

Background: Regulating mechanisms of branching morphogenesis of fetal lung rat explants have been an essential tool for molecular research. This work presents a new methodology to accurately quantify the epithelial, outer contour and peripheral airway buds of lung explants during cellular development from microscopic images. Methods: The outer contour was defined using an adaptive and multi-scale threshold algorithm whose level was automatically calculated based on an entropy maximization criterion. The inner lung epithelial was defined by a clustering procedure that groups small image regions according to the minimum description length principle and local statistical properties. Finally, the number of peripheral buds were counted as the skeleton branched ends from a skeletonized image of the lung inner epithelial. Results: The time for lung branching morphometric analysis was reduced in 98% in contrast to the manual method. Best results were obtained in the first two days of cellular development, with lesser standard deviations. Non-significant differences were found between the automatic and manual results in all culture days. Conclusions: The proposed method introduces a series of advantages related to its intuitive use and accuracy, making the technique suitable to images with different lightning characteristics and allowing a reliable comparison between different researchers.

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.

Application to quantify fetal lung branching on rat explant

Recently, regulating mechanisms of branching morphogenesis of fetal lung rat explants have been an essential tool for molecular research. The development of accurate and reliable segmentation techniques may be essential to improve research outcomes. This work presents an image processing method to measure the perimeter and area of lung branches on fetal rat explants. The algorithm starts by reducing the noise corrupting the image with a pre-processing stage. The outcome is input to a watershed operation that automatically segments the image into primitive regions. Then, an image pixel is selected within the lung explant epithelial, allowing a region growing between neighbouring watershed regions. This growing process is controlled by a statistical distribution of each region. When compared with manual segmentation, the results show the same tendency for lung development. High similarities were harder to obtain in the last two days of culture, due to the increased number of peripheral airway buds and complexity of lung architecture. However, using semiautomatic measurements, the standard deviation was lower and the results between independent researchers were more coherent.

Variations of the soft tissue thicknesses external to the ribs in pectus excavatum patients

Background: Surgical repair of pectus excavatum (PE) has become more popular due to improvements in the minimally invasive Nuss procedure. The pre-surgical assessment of PE patients requires Computerized Tomography (CT), as the malformation characteristics vary from patient to patient. Objective: This work aims to characterize soft tissue thickness (STT) external to the ribs among PE patients. It also presents a comparative analysis between the anterior chest wall surface before and after surgical correction. Methods: Through surrounding tissue segmentation in CT data, STT values were calculated at different lines along the thoracic wall, with a reference point in the intersection of coronal and median planes. The comparative analysis between the two 3D anterior chest surfaces sets a surgical correction influence area (SCIA) and a volume of interest (VOI) based on image processing algorithms, 3D surface algorithms, and registration methods. Results: There are always variations between left and right side STTs (2.54±2.05 mm and 2.95±2.97 mm for female and male patients, respectively). STTs are dependent on age, sex, and body mass index of each patient. On female patients, breast tissue induces additional errors in bar manual

Automatic modeling of pectus excavatum corrective prosthesis using artificial neural networks

Pectus excavatum is the most common deformity of the thorax. Pre-operative diagnosis usually includes Computed Tomography (CT) to successfully employ a thoracic prosthesis for anterior chest wall remodeling. Aiming at the elimination of radiation exposure, this paper presents a novel methodology for the replacement of CT by a 3D laser scanner (radiation-free) for prosthesis modeling. The complete elimination of CT is based on an accurate determination of ribs position and prosthesis placement region through skin surface points. The developed solution resorts to a normalized and combined outcome of an artificial neural network (ANN) set. Each ANN model was trained with data vectors from 165 male patients and using soft tissue thicknesses (STT) comprising information from the skin and rib cage (automatically determined by image processing algorithms). Tests revealed that ribs position for prosthesis placement and modeling can be estimated with an average error of 5.0 ± 3.6 mm. One also showed that the ANN performance can be improved by introducing a manually determined initial STT value in the ANN normalization procedure (average error of 2.82 ± 0.76 mm). Such error range is well below current prosthesis manual modeling (approximately 11 mm), which can provide a valuable and radiation-free procedure for prosthesis personalization.

Artificial neural networks for automatic modelling of the pectus excavatum corrective prosthesis

Pectus excavatum is the most common deformity of the thorax and usually comprises Computed Tomography (CT) examination for pre-operative diagnosis. Aiming at the elimination of the high amounts of CT radiation exposure, this work presents a new methodology for the replacement of CT by a laser scanner (radiation-free) in the treatment of pectus excavatum using personally modeled prosthesis. The complete elimination of CT involves the determination of ribs external outline, at the maximum sternum depression point for prosthesis placement, based on chest wall skin surface information, acquired by a laser scanner. The developed solution resorts to artificial neural networks trained with data vectors from 165 patients. Scaled Conjugate Gradient, Levenberg-Marquardt, Resilient Back propagation and One Step Secant gradient learning algorithms were used. The training procedure was performed using the soft tissue thicknesses, determined using image processing techniques that automatically segment the skin and rib cage. The developed solution was then used to determine the ribs outline in data from 20 patient scanners. Tests revealed that ribs position can be estimated with an average error of about 6.82±5.7 mm for the left and right side of the patient. Such an error range is well below current prosthesis manual modeling (11.7±4.01 mm) even without CT imagiology, indicating a considerable step forward towards CT replacement by a 3D scanner for prosthesis personalization.

Preliminary clinical trial in percutaneous nephrolithotomy using a real-time navigation system for percutaneous kidney access

Background: Precise needle puncture of renal calyces is a challenging and essential step for successful percutaneous nephrolithotomy. This work tests and evaluates, through a clinical trial, a real-time navigation system to plan and guide percutaneous kidney puncture. Methods: A novel system, entitled i3DPuncture, was developed to aid surgeons in establishing the desired puncture site and the best virtual puncture trajectory, by gathering and processing data from a tracked needle with optical passive markers. In order to navigate and superimpose the needle to a preoperative volume, the patient, 3D image data and tracker system were previously registered intraoperatively using seven points that were strategically chosen based on rigid bone structures and nearby kidney area. In addition, relevant anatomical structures for surgical navigation were automatically segmented using a multi-organ segmentation algorithm that clusters volumes based on statistical properties and minimum description length criterion. For each cluster, a rendering transfer function enhanced the visualization of different organs and surrounding tissues. Results: One puncture attempt was sufficient to achieve a successful kidney puncture. The puncture took 265 seconds, and 32 seconds were necessary to plan the puncture trajectory. The virtual puncture path was followed correctively until the needle tip reached the desired kidney calyceal. Conclusions: This new solution provided spatial information regarding the needle inside the body and the possibility to visualize surrounding organs. It may offer a promising and innovative solution for percutaneous punctures.