997 resultados para tumor classification
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Os Schwannomas vestibulares são responsáveis por 80 a 90% dos tumores do ângulo ponto-cerebelar. A atual incidência é estimada em 0,8% a 2,5% da população mundial. A hipoacusia unilateral e progressiva é o sintoma mais precoce e freqüente, sendo o tinido a segunda queixa mais comum. Estudos demonstram que apenas 5% dos pacientes com schwannoma vestibular têm exames audiométricos normais. No caso em foco é relatado hipoestesia da hemiface com diminuição do reflexo córneo palpebral ipsilateral, hipoestesia da porção póstero-superior do pavilhão auditivo (sinal de Hitzelberger positivo), diminuição do lacrimejamento, Romberg sensibilizado positivo. Observava-se discreto desvio da rima labial para a esquerda, não apresentando outras alterações nos demais pares cranianos. À acumetria, não havia alteração da sensibilidade auditiva em ambas as vias aéreas.
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O tumor de células granulares (TCG) é uma neoplasia incomum, de evolução lenta, na maioria dos casos de caráter benigno e que pode acometer qualquer órgão do corpo. Entre as hipóteses que tentam explicar sua origem, a teoria da gênese neural apresenta embasamento sólido e é a mais aceita atualmente. O TCG é mais comum na raça negra, entre a 4ª e 5ª décadas de vida, acometendo com maior freqüência a região da cabeça e pescoço. A localização laríngea é rara, e quando ocorre é mais comum na porção posterior. É muito raro em crianças em geral acomete a porção anterior da subglote, podendo estender-se para a glote. O sintoma predominante é a rouquidão, podendo ocorrer disfagia, dor, tosse, hemoptise, e estridor. Macroscopicamente o TCG se manifesta como nódulo de pequeno tamanho, firme, séssil ou pediculado, não-ulcerado, de coloração clara, e usualmente bem circunscrito, porém sem cápsula. À microscopia, as granulações citoplasmáticas são características, apresentando positividade para a imunoperoxidase S100 e para a enolase neurônio-específica. O tratamento do TCG laríngeo consiste na exérese cirúrgica. Neste trabalho descrevemos um caso pediátrico de TCG laríngeo e sua evolução clínica após a remoção cirúrgica, alertando para o diagnóstico do TCG na população pediátrica. Foi realizada revisão de literatura abrangendo as características clínicas e histopatológicas do TCG, assim como as formas atuais de tratamento.
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Forest cover of the Maringá municipality, located in northern Parana State, was mapped in this study. Mapping was carried out by using high-resolution HRC sensor imagery and medium resolution CCD sensor imagery from the CBERS satellite. Images were georeferenced and forest vegetation patches (TOFs - trees outside forests) were classified using two methods of digital classification: reflectance-based or the digital number of each pixel, and object-oriented. The areas of each polygon were calculated, which allowed each polygon to be segregated into size classes. Thematic maps were built from the resulting polygon size classes and summary statistics generated from each size class for each area. It was found that most forest fragments in Maringá were smaller than 500 m². There was also a difference of 58.44% in the amount of vegetation between the high-resolution imagery and medium resolution imagery due to the distinct spatial resolution of the sensors. It was concluded that high-resolution geotechnology is essential to provide reliable information on urban greens and forest cover under highly human-perturbed landscapes.
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ABSTRACT The objective of this work was to study the distribution of values of the coefficient of variation (CV) in the experiments of papaya crop (Carica papaya L.) by proposing ranges to guide researchers in their evaluation for different characters in the field. The data used in this study were obtained by bibliographical review in Brazilian journals, dissertations and thesis. This study considered the following characters: diameter of the stalk, insertion height of the first fruit, plant height, number of fruits per plant, fruit biomass, fruit length, equatorial diameter of the fruit, pulp thickness, fruit firmness, soluble solids and internal cavity diameter, from which, value ranges were obtained for the CV values for each character, based on the methodology proposed by Garcia, Costa and by the standard classification of Pimentel-Gomes. The results obtained in this study indicated that ranges of CV values were different among various characters, presenting a large variation, which justifies the necessity of using specific evaluation range for each character. In addition, the use of classification ranges obtained from methodology of Costa is recommended.
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Urban regeneration is more and more a “universal issue” and a crucial factor in the new trends of urban planning. It is no longer only an area of study and research; it became part of new urban and housing policies. Urban regeneration involves complex decisions as a consequence of the multiple dimensions of the problems that include special technical requirements, safety concerns, socio-economic, environmental, aesthetic, and political impacts, among others. This multi-dimensional nature of urban regeneration projects and their large capital investments justify the development and use of state-of-the-art decision support methodologies to assist decision makers. This research focuses on the development of a multi-attribute approach for the evaluation of building conservation status in urban regeneration projects, thus supporting decision makers in their analysis of the problem and in the definition of strategies and priorities of intervention. The methods presented can be embedded into a Geographical Information System for visualization of results. A real-world case study was used to test the methodology, whose results are also presented.
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Low noise surfaces have been increasingly considered as a viable and cost-effective alternative to acoustical barriers. However, road planners and administrators frequently lack information on the correlation between the type of road surface and the resulting noise emission profile. To address this problem, a method to identify and classify different types of road pavements was developed, whereby near field road noise is analyzed using statistical learning methods. The vehicle rolling sound signal near the tires and close to the road surface was acquired by two microphones in a special arrangement which implements the Close-Proximity method. A set of features, characterizing the properties of the road pavement, was extracted from the corresponding sound profiles. A feature selection method was used to automatically select those that are most relevant in predicting the type of pavement, while reducing the computational cost. A set of different types of road pavement segments were tested and the performance of the classifier was evaluated. Results of pavement classification performed during a road journey are presented on a map, together with geographical data. This procedure leads to a considerable improvement in the quality of road pavement noise data, thereby increasing the accuracy of road traffic noise prediction models.
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O Tumor de Wilms (TW) é o tumor renal mais comum da infância, com uma incidência de 1 em ~10000 crianças. Esta patologia é de etiologia genética complexa e diversificada. No entanto, cerca de um terço dos doentes apresenta mutações somáticas associadas aos genes WT1, CTNNB1, TP53 e/ou AMER1. Assim, foi desenvolvido um painel de amplicões destes 4 genes para a identificação de mutações num grupo de doentes portugueses com TW, através de uma metodologia baseada na sequenciação de nova geração. As bibliotecas de DNA foram preparadas a partir de amostras de sangue periférico e tumor de 36 doentes com TW e sequenciadas no MiSeq. Foram identificadas alterações somáticas em 7 dos 36 (19,4%) doentes estudados. Conclui-se que a sequenciação de um painel de genes é um método rápido para a deteção de mutações somáticas quando desenhado com cuidado de forma a serem evitados problemas de perda de cobertura.
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INTRODUCTION: The correct identification of the underlying cause of death and its precise assignment to a code from the International Classification of Diseases are important issues to achieve accurate and universally comparable mortality statistics These factors, among other ones, led to the development of computer software programs in order to automatically identify the underlying cause of death. OBJECTIVE: This work was conceived to compare the underlying causes of death processed respectively by the Automated Classification of Medical Entities (ACME) and the "Sistema de Seleção de Causa Básica de Morte" (SCB) programs. MATERIAL AND METHOD: The comparative evaluation of the underlying causes of death processed respectively by ACME and SCB systems was performed using the input data file for the ACME system that included deaths which occurred in the State of S. Paulo from June to December 1993, totalling 129,104 records of the corresponding death certificates. The differences between underlying causes selected by ACME and SCB systems verified in the month of June, when considered as SCB errors, were used to correct and improve SCB processing logic and its decision tables. RESULTS: The processing of the underlying causes of death by the ACME and SCB systems resulted in 3,278 differences, that were analysed and ascribed to lack of answer to dialogue boxes during processing, to deaths due to human immunodeficiency virus [HIV] disease for which there was no specific provision in any of the systems, to coding and/or keying errors and to actual problems. The detailed analysis of these latter disclosed that the majority of the underlying causes of death processed by the SCB system were correct and that different interpretations were given to the mortality coding rules by each system, that some particular problems could not be explained with the available documentation and that a smaller proportion of problems were identified as SCB errors. CONCLUSION: These results, disclosing a very low and insignificant number of actual problems, guarantees the use of the version of the SCB system for the Ninth Revision of the International Classification of Diseases and assures the continuity of the work which is being undertaken for the Tenth Revision version.
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O documento em anexo encontra-se na versão post-print (versão corrigida pelo editor).
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This paper presents an integrated system for vehicle classification. This system aims to classify vehicles using different approaches: 1) based on the height of the first axle and_the number of axles; 2) based on volumetric measurements and; 3) based on features extracted from the captured image of the vehicle. The system uses a laser sensor for measurements and a set of image analysis algorithms to compute some visual features. By combining different classification methods, it is shown that the system improves its accuracy and robustness, enabling its usage in more difficult environments satisfying the proposed requirements established by the Portuguese motorway contractor BRISA.
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In music genre classification, most approaches rely on statistical characteristics of low-level features computed on short audio frames. In these methods, it is implicitly considered that frames carry equally relevant information loads and that either individual frames, or distributions thereof, somehow capture the specificities of each genre. In this paper we study the representation space defined by short-term audio features with respect to class boundaries, and compare different processing techniques to partition this space. These partitions are evaluated in terms of accuracy on two genre classification tasks, with several types of classifiers. Experiments show that a randomized and unsupervised partition of the space, used in conjunction with a Markov Model classifier lead to accuracies comparable to the state of the art. We also show that unsupervised partitions of the space tend to create less hubs.
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This paper describes a methodology that was developed for the classification of Medium Voltage (MV) electricity customers. Starting from a sample of data bases, resulting from a monitoring campaign, Data Mining (DM) techniques are used in order to discover a set of a MV consumer typical load profile and, therefore, to extract knowledge regarding to the electric energy consumption patterns. In first stage, it was applied several hierarchical clustering algorithms and compared the clustering performance among them using adequacy measures. In second stage, a classification model was developed in order to allow classifying new consumers in one of the obtained clusters that had resulted from the previously process. Finally, the interpretation of the discovered knowledge are presented and discussed.
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The growing importance and influence of new resources connected to the power systems has caused many changes in their operation. Environmental policies and several well know advantages have been made renewable based energy resources largely disseminated. These resources, including Distributed Generation (DG), are being connected to lower voltage levels where Demand Response (DR) must be considered too. These changes increase the complexity of the system operation due to both new operational constraints and amounts of data to be processed. Virtual Power Players (VPP) are entities able to manage these resources. Addressing these issues, this paper proposes a methodology to support VPP actions when these act as a Curtailment Service Provider (CSP) that provides DR capacity to a DR program declared by the Independent System Operator (ISO) or by the VPP itself. The amount of DR capacity that the CSP can assure is determined using data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 33 bus distribution network.
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Introdução: O cancro retal continua a ser um dos principais problemas de saúde a nível mundial, sendo a toxicidade gastro-intestinal e génito-urinária os efeitos tardios da radioterapia mais reportados. A utilização da Belly-Board para minimizar essa toxicidade, reduzindo o volume de bexiga e intestino delgado irradiados é recomendada. No entanto, o protocolo mais adequado para o volume vesical nestes doentes é ainda tema de controvérsia. Objetivo: Avaliar a influência do volume vesical na dose recebida na bexiga e no PTV, em doentes com tumor de reto, posicionados em decúbito ventral, com belly-board. Materiais e Métodos: 38 doentes com tumor de reto tratados no CHBM, agrupados em dois grupos: o 1º grupo, com 19 doentes que realizaram tratamento com bexiga cheia e o 2º grupo, com 19 doentes que realizaram tratamento com bexiga vazia. Os dados foram obtidos através dos HDV’s e foram comparadas as doses máximas no PTV e a percentagem de volume de bexiga que recebe 50Gy. Foi utilizado o teste estatístico U-Mann Whitney com um nível de significância de 0,05. A hipótese de pesquisa deste estudo propõe que os dois grupos diferem significativamente entre si e a hipótese nula propõe que os dois grupos não diferem significativamente entre si, para ambas as variáveis. Resultados: Não se observaram diferenças estatisticamente significativas entre os grupos no que diz respeito à dose máxima no PTV. No que se refere à percentagem de volume de bexiga que recebe 50Gy verificaram-se diferenças estatisticamente significativas, tendo o grupo de doentes que realizaram tratamento com bexiga cheia apresentado valores mais baixos. Conclusões: Este estudo demonstrou o benefício da utilização do protocolo de bexiga cheia em doentes com tumor de reto tratados com belly-board, na diminuição da percentagem de volume de bexiga que recebe 50Gy.