8 resultados para NONINVASIVE DIAGNOSIS


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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e Computadores

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Thesis for the Master degree in Structural and Functional Biochemistry

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Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e Computadores especialidade: Robótica e Manufactura Integrada

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This dissertation is presented to obtain a Master degree in Structural and Functional Biochemistry

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Breast cancer is the most common type of cancer among women all over the world. An important issue that is not commonly addressed in breast cancer imaging literature is the importance of imaging the underarm region—where up to 80% of breast cancer cells can metastasise to. The first axillary lymph nodes to receive drainage from the primary tumour in the breast are called Sentinel Node. If cancer cells are found in the Sentinel Node, there is an increased risk of metastatic breast cancer which makes this evaluation crucial to decide what follow-up exams and therapy to follow. However, non-invasive detection of cancer cells in the lymph nodes is often inconclusive, leading to the surgical removal of too many nodes which causes adverse side-effects for patients. Microwave Imaging is one of the most promising non-invasive imaging modalities for breast cancer early screening and monitoring. This novel study tests the feasibility of imaging the axilla region by means of the simulation of an Ultra-Wideband Microwave Imaging system. Simulations of such system are completed in several 2D underarm models that mimic the axilla. Initial imaging results are obtained by means of processing the simulated backscattered signals by eliminating artefacts caused by the skin and beamforming the processed signals in order to time-align all the signals recorded at each antenna. In this dissertation several image formation algorithms are implemented and compared by visual inspection of the resulting images and through a range of performance metrics, such as Signal-to-Clutter Ratio and FullWidth Half Maximum calculations. The results in this study showed that Microwave Imaging is a promising technique that might allow to identify the presence and location of metastasised cancer cells in axillary lymph nodes, enabling the non-invasive evaluation of breast cancer staging.

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RESUMO: Introdução: A obstrução da via aérea central (OVAC) refere-se a um processo patológico que conduz a limitação do fluxo de ar ao nível do espaço glótico e subglótico, traqueia e brônquios principais. O seu correcto diagnóstico e tratamento constituem um território de interesse e preocupação para os profissionais de saúde, e requerem um profundo conhecimento da sua etiologia, fisiologia, diagnóstico e opções terapêuticas dado o potencial em originar significativa morbilidade e mortalidade. A avaliação da OVAC abrange múltiplas vertentes, entre as quais se salienta o componente clínico (sinais e sintomas), a repercussão fisiopatológica (função respiratória) e o estudo imagiológico (TC do tórax e broncoscopia). A compilação destes dados associada à etiologia, constituem factores importantes para estabelecer o prognóstico, determinar a necessidade de tratamento ou delinear uma futura intervenção terapêutica. A broncoscopia é o Gold Standard de avaliação desta condição, mas desde há cerca de 40 anos a curva de débito-volume constitui uma ferramenta não invasiva de detecção de OVAC. Apesar deste método ser utilizado até os nossos dias, poucos têm sido os estudos com o objectivo de verificar a sensibilidade e especificidade da curva de débito-volume na detecção de OVAC, bem como averiguar a relação entre as alterações morfológicas e quantitativas da mesma com a localização, o tipo e o grau da obstrução. Material e Métodos: Entre 1 de Novembro de 2009 e 30 de Abril de 2010, os doentes com indicação para a realização de broncoscopia diagnóstica ou terapêutica na Unidade de Técnicas Invasivas Pneumológicas (UTIP) do Centro Hospitalar Lisboa Norte – Hospital Pulido Valente (CHLN – HPV) foram seleccionados de forma consecutiva de acordo com os critérios de inclusão e exclusão. As avaliações (broncoscopia, curva de débito-volume e avaliação da dispneia) realizaram-se com um intervalo de tempo máximo de sete dias. A broncoscopia flexível foi realizada segundo as normas da British Thoracic Society e as curvas de débito-volume segundo as normas da ATS/ERS TaskForce 2005. Para a avaliação da dispneia recorreu-se à escala de dispneia MRC (Medical Research Council). Um painel de peritos realizou a avaliação da morfologia da curva de débito-volume (sugestiva ou não de OVAC) e um elemento independente a verificação dos critérios quantitativos e morfológicos (variáveis intra e extratorácica e fixa) da curva. O estudo foi aprovado pela Comissão de Ética para a Saúde do CHLN e todos os doentes assinaram um consentimento informado de participação. Resultados: Estudaram-se 82 doentes, 36 (44%) dos quais com OVAC. A predominância foi do género masculino, em relação ao feminino. A sensibilidade e especificidade dos critérios quantitativos da curva de débito-volume na detecção de OVAC foi de 91.3% e 88.9% respectivamente. Quando se utilizaram os critérios morfológicos da curva de débito-volume os valores foram de 93.5% e 30.6%. A agregação dos critérios morfológicos e quantitativos permitiu alcançar uma sensibilidade de 95.7% e especificidade de 86.1%. Nesta amostra, o critério quantitativo com maior ocorrência foi o FEF50/FIF50≥1 (83% dos doentes com OVAC). Este mostrou relacionar-se com todas as localizações de obstrução excepto o terço médio da traqueia. Mostrou, ainda, ter uma relação forte e positiva com o grau e tipo de obstrução (intra e extraluminal). O segundo foi o FEV1/PEF≥8, presente em 36% dos casos de OVAC. Relacionou-se com as obstruções no terço inferior da traqueia e brônquio principal direito (BPD). Também apresentou relação forte e positiva com o grau de obstrução e com os tipos de obstrução anteriormente descritos. Quanto à sintomatologia foi possível associar o grau de obstrução com o de dispneia e a presença de estridor com o grau e localização da obstrução na traqueia. Conclusões: Os resultados deste estudo demonstram que os critérios quantitativos da curva de débito-volume têm elevada sensibilidade e especificidade na detecção de OVAC. O critério FEV50/FIF50≥1 tem um bom poder discriminativo na detecção dessa condição, tendo sido relacionado com a localização, o grau e o tipo de obstrução. O critério FEV1/PEF≥8, embora com menor poder discriminativo, também se relaciona com o grau, a localização e o tipo de obstrução. A morfologia da curva tem uma boa sensibilidade mas baixa especificidade na detecção de OVAC, mas a agregação entre os critérios morfológicos e quantitativos aumenta a sensibilidade e especificidade. A dispneia e o estridor foram relacionados com o grau de obstrução e o último com a localização ao nível da traqueia.-------------ABSTRACT: Introduction: Central airway obstruction (CAO) refers to a pathological process that leads to restriction of airflow at the level of the glottis and subglottis, trachea and main bronchi. It’s proper diagnosis and treatment is an area of interest and concern to health professionals, and requires a deep knowledge of its etiology, physiology, diagnosis and treatment options, concerning the potential to cause significant morbidity and mortality. The evaluation of CAO covers multiple aspects: the clinical component (signs and symptoms), the pathophysiological effect (lung function) and the imaging study (bronchoscopy and chest CT). The compilation of this data associated with the etiology, are important for establishing prognosis, determine the need for treatment or outline a future therapeutic intervention. Bronchoscopy is the gold standard for evaluating this condition, but for the last 40 years the flow-volume loop has been used as a noninvasive tool for detecting CAO. Although this method is still in use, only few studies were made in order to verify its sensitivity and specificity in detecting CAO, and investigate the relation between morphological and quantitative changes of the curve to location, type and degree of obstruction. Methods: Between 1st November 2009 and 30th April 2010, patients with indication to perform diagnostic or therapeutic bronchoscopy in Interventional Pulmonology Unit - Hospital Pulido Valente (CHLN - HPV), were selected consecutively according to the inclusion and exclusion criteria. All assessments (bronchoscopy, flow-volume loop and dyspnea) were carried out within a period of seven days. The flexible bronchoscopy was performed according to the standards of the British Thoracic Society and the flow-volume loops in accordance with the standards of the ATS / ERS Taskforce 2005. For the evaluation of dyspnea was used to MRC dyspnea scale (Medical Research Council). A panel of experts evaluated the morphology of flow-volume loop (suggestive or non-suggestive of CAO) and an independent element established the quantitative criteria and morphological (intra and extrathoracic variables and fixed) of the curve. This study was approved by the Ethics Committee for Health CHLN and all the patients signed an informed consent to participate. Results: We’ve studied 82 patients, 36 (44%) of those with CAO. The majority of the patients were males, compared to females. The sensitivity and specificity of the quantitative criteria of the flow-volume curve in detecting CAO was 91.3% and 88.9% respectively. When we used the morphological criteria of flow-volume loop these values were 93.5% and 30.6%. The combination of quantitative and morphological criteria produced values of 95.7% sensitivity and 86.1% specificity. FEF50/FIF50≥1 was the most representative quantitative criterion (83% of patients with CAO) and it was correlated with all sites of obstruction except in the middle third of the trachea. It has shown a strong and positive association with the degree and type of obstruction (intra and extraluminal). The second was the FEV1/PEF ≥ 8, present in 36% of cases of CAO. It could be correlated with the obstruction in the lower third of the trachea and right main bronchus. It also showed a strong positive relation with the degree and types of obstruction described above. Regarding symptoms, we found a link between the degree of obstruction and dyspnea. The presence of stridor was correlated with the location and the degree of obstruction in the trachea. Conclusion: The results of this study demonstrate that the quantitative criteria of the flow-volume loop have a high sensitivity and specificity in detecting CAO. The criterion FEV50/FIF50 ≥ 1 has a good discriminative power to detect this condition and was related to the location, degree and type of obstruction. The criterion FEV1/PEF ≥ 8, although with a weaker discriminative power, also relates to the degree, location and type of obstruction. The morphology of the curve has a good sensitivity but low specificity in detecting CAO although the combination between the morphological and quantitative criteria increases sensitivity and specificity. Dyspnea and stridor were related to the degree of obstruction and the last one with its location in the trachea.

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Towards a holistic perspective of CRM, this project aims to diagnose and propose a strategy and market segmentation for Siemens Healthcare. The main underlying principle is to apply a full customer-centric outlook taking own business properties into consideration while preserving Siemens Healthcare’s culture and vision. Mainly focused on market segmentation, this project goes beyond established boundaries by employing an unbiased perspective of CRM while challenging current strategy, goals, processes, tools, initiatives and KPIs. In order to promote a sustainable business excellence strategy, this project aspires to streamline CRM strategic importance and driving the company one step forward.

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Nowadays, many of the manufactory and industrial system has a diagnosis system on top of it, responsible for ensuring the lifetime of the system itself. It achieves this by performing both diagnosis and error recovery procedures in real production time, on each of the individual parts of the system. There are many paradigms currently being used for diagnosis. However, they still fail to answer all the requirements imposed by the enterprises making it necessary for a different approach to take place. This happens mostly on the error recovery paradigms since the great diversity that is nowadays present in the industrial environment makes it highly unlikely for every single error to be fixed under a real time, no production stop, perspective. This work proposes a still relatively unknown paradigm to manufactory. The Artificial Immune Systems (AIS), which relies on bio-inspired algorithms, comes as a valid alternative to the ones currently being used. The proposed work is a multi-agent architecture that establishes the Artificial Immune Systems, based on bio-inspired algorithms. The main goal of this architecture is to solve for a resolution to the error currently detected by the system. The proposed architecture was tested using two different simulation environment, each meant to prove different points of views, using different tests. These tests will determine if, as the research suggests, this paradigm is a promising alternative for the industrial environment. It will also define what should be done to improve the current architecture and if it should be applied in a decentralised system.