946 resultados para BCG immunotherapy
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O estudo pretendeu abordar a imunidade humoral na Tuberculose. Foi um estudo de teste diagnóstico que avaliou um antígeno específico, constituinte da parede celular da micobactéria, denominado LIPOARABINOMANNAN (LAM), proveniente de Cambridge, MA, USA da Companhia Dyna-Gen. O objetivo principal do estudo foi a detecção de anticorpos IgG anti-LAM em casos de tuberculose pulmonar, extrapulmonar e formas combinadas da doença. A casuística total compreendeu 173 pacientes portadores de tuberculose, sendo a mesma confirmada por métodos bacteriológicos e/ou anatomopatológicos de biópsias de diversos órgãos em 114 casos (65,8%). Em 46 casos (26,5%) a doença se confirmou por rigorosos critérios clínicos, radiológicos e de seguimento após tratamento adequado. Cento e quinze pacientes eram do sexo masculino (66,5%) e 58 do sexo feminino (33,5%). Cento e trinta e um eram brancos (75,7%), 24 negros (13,9%) e 18 mistos (10,4%). O total de formas pulmonares foi de 88 casos (51%), sendo 81 (46,8%) formas bacilíferas e 7 casos (4,0%) não-bacilíferas. Dos casos com baciloscopia direta negativa, 3 apresentaram culturas positivas, 2 culturas negativas e em 2 casos a mesma não foi realizada. Formas extrapulmonares compreenderam 71 casos (41%) com predomínio de forma miliar, ganglionar, pleural e do SNC. A combinação de ambas as formas ocorreu em 14 casos (8,1%). Radiologicamente, houve predomínio de lesões escavadas (30,1%), consolidação (13,9%), padrão miliar (11%) e exame radiológico normal (11%), além de outros achados. Da série, 118 pacientes eram HIV negativos (68,2%) e 55 eram HIV positivos (31,8%). As principais comorbidades associadas foram Diabetes Melittus (DM), Alcoolismo, Cardiopatia e Neoplasia, entre outras. Exames culturais foram realizados em 145 pacientes, sendo que em 72 casos a cultura foi positiva (41,6%) e foi negativa em 10 casos (5,8%). Dos 72 exames culturais positivos, o teste do MycoDot foi positivo em 47 casos (65,2%) e negativo em 25 (34,7%). Em 10 exames culturais negativos, o mesmo foi positivo em 6 casos (60%) e negativo em 4 casos (40%). Em 63 exames culturais não realizados, o teste do MycoDot foi positivo em 46 casos e negativos em 17. Os resultados do teste MycoDot na série total foram: positivos em 120 pacientes (69,4%) e negativos em 53 pacientes (30,6%). As formas pulmonares bacilíferas, não bacilíferas, extrapulmonares e combinadas apresentaram sensibilidade de 74,1%, 85,7%, 63,4% e 64,3% respectivamente. O grupo controle foi de 77 indivíduos assim distribuídos: 41 sadios, 16 portadores de lesões residuais de tuberculose, 6 sadios com BCG prévia, 6 sadios sem BCG prévia e 8 com outras comorbidades. O resultado do teste MycoDot foi negativo em 73 casos (94,8%) e positivo em 4 casos (5,2%). A sensibilidade da casuística total foi de 69,4%, a especificidade foi de 94,8%, o valor preditivo positivo (VPP) foi de 96,8% e o valor preditivo negativo (VPN) foi de 57,9%. Dos pacientes HIV positivos a sensibilidade foi de 61,8% e a especificidade foi de 100%. Nos pacientes HIV negativos a sensibilidade foi de 72,9% e a especificidade foi de 94,7%. Concluiu-se que o Teste MycoDot é de fácil realização, baixo custo, podendo ser útil como uma ferramenta adicional para o diagnóstico da tuberculose.
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O objetivo deste estudo foi avaliar os parâmetros farmacocinéticos da talidomida em pacientes com tumores sólidos refratários incluídos em estudo de fase II em nossa Instituição. Foram incluídos 14 pacientes, sendo 5 com diagnóstico de adenocarcinoma de reto, 4 com adenocarcinoma de cólon, 4 com melanoma e 1 com adenocarcinoma de pâncreas. Todos os pacientes foram previamente tratados, 14 com cirurgia, 11 com quimioterapia, 5 com radioterapia e 1 com imunoterapia. Os pacientes foram inicialmente tratados com talidomida 200 mg/dia, com um aumento de dose de 200mg a cada duas semanas, até atingir a dose máxima de 800 mg/dia. Treze pacientes atingiram o nível de 400mg/dia, 9 pacientes os níveis de 600mg/dia e apenas 5 pacientes atingiram 800mg/dia. A farmacocinética foi caracterizada em oito pacientes no nível de dose de 200 mg/dia. Todos os 14 pacientes incluídos foram avaliados quanto ao perfil de toxicidade e resposta antitumoral. A talidomida foi bem tolerada, sendo os principais efeitos colaterais a sonolência, a tontura, a xerostomia e a constipação. Não foram observadas respostas tumorais objetivas. Para avaliar os parâmetros farmacocinéticos da talidomida foram coletadas amostras de sangue imediatamente antes da administração da droga, 1h, 2h, 2,5h, 3h, 3,5h, 4h, 5h, 7h e 24h após a administração da primeira dose de talidomida de 200mg. A determinação das concentrações e parâmetros farmacocinéticos da talidomida nestas amostras foi realizada por cromatografia líquida de alta performance. A curva de decaimento das concentrações plasmáticas obedeceu a um modelo farmacocinético monocompartimental. A média dos principais parâmetros farmacocinéticos estudados foi: Cmax 1,48 ± 0,56μg/ml, Tmax 4,4± 0,5h, ASC 17,7±8,4μg x h/mL e t½ 6,5±3,0 hs. O autor pode concluir que os parâmetros farmacocinéticos da talidomida estudados nestes pacientes foram semelhantes àqueles descritos anteriormente em voluntários sadios, pacientes com HIV, hanseníase ou adenocarcinoma de próstata.
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Background: Pythiosis in horses is a proliferative and ulcerative disease that primarily affects the skin and subcutaneous tissue of limbs, thoracic-abdominal region and head. This disease sometimes can also affect limb bones or cause tumoral masses in abdomen. Usually, the cutaneous cases are confused with habronemiasis. The disease is more common in marshy areas, places with formation of slow drainage ponds and aquatic vegetation under high temperatures. The aim of this study was to describe the development of facial lesions in a horse caused by pythiosis in Cuiaba, Mato Grosso, and, additionally to discuss relevant issues regarding the diagnosis, clinical course and response to immunotherapy treatment.Case: One five years old mare of unknown breed, created in property located in the Cerrado region, had a wound on its face difficult to be healed and non-responsive to several treatments based on ivermectin and organophosphate administrated by either topical or systemic via. The animal was assisted on the farm of origin by the veterinary team of the Clinical Medicine sector, of the Veterinary Hospital, Universidade Federal de Mato Grosso (HOVET-UFMT). on the occasion of the visit, which occurred 60 days after onset of signs, the animal showed a circular single large lesion, ulcerative with serous discharge on the right part of its face, between the eyes and nostrils. There were some necrotic foci with sinus, from which kunkers were extracted; a condition compatible with pythiosis. The diagnosis was confirmed by histology, ELISA and PCR.Discussion: Assuming pythiosis from data obtained from the survey and profile of the lesion (secretory aspect, emaciation and presence of sinus and kunkers), immunotherapy treatment was immediately applied. The advanced clinical aspects and the fact that early diagnosis and treatment are essentials to satisfactory therapeutic response were also taken into consideration for starting the treatment. The remission of signs was achieved after five subcutaneous applications with 14 days between each application. From the second application, it was observed clinical improvement and after 60 days of treatment there was almost complete remission of signs. The signs for a satisfactory response in the injury site followed the order of decreasing secretory aspect, decreasing borders, decrease the itching and bringing the edges together with the formation of a thin layer of crust on the surface. Pythiosis cases with lesions on the face and lower abdomen are commonly confused with habronemiasis by macroscopic and widespread similarity between technicians and attendants, and essential support to the diagnosis through laboratory tests, which in turn are still underutilized. In this case, the authors demonstrated the therapeutic efficacy of immunotherapy as an advantage, considering the possibility of applying it in cases of lesions in areas of difficult surgical access, treatment conditions in the field, with low cost and ease of application. Further studies approaching this alternative therapy are necessary, since side effects have been observed in some cases.
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The current accessibility to hyperspectral images of Hyperion/EO1 orbital sensor has brought new perspectives for studies of aquatic environments for allowing the remote estimative of several optically active constituents (OACs) in water body. The changes in the composition and concentration of OACs cause different patterns of absorption and scattering of electromagnetic radiation, likely to be detected using hyperspectral data. Therefore, an investigation was conducted taking into account the spectral characterization of water of a reservoir intended for public supply (Itupararanga Reservoir), from Hyperion/EO1 images and derivative analysis technique applied to spectral curves generated. Simultaneously to the acquisition of a Hyperion/EO1 image, a field campaign was carried out to collect limnological data in situ in georeferenced points. After radiometric correction of the image, reflectance curves of pixels were extracted for each station and the curves obtained were subjected to the technique of derivative analysis, which revealed features of absorption and scattering mainly associated to the presence of algal pigments. The results obtained show the presence of phytoplankton and algal activity, matching the field observation.
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GPS active networks are more and more used in geodetic surveying and scientific experiments, as water vapor monitoring in the atmosphere and lithosphere plate movement. Among the methods of GPS positioning, Precise Point Positioning (PPP) has provided very good results. A characteristic of PPP is related to the modeling and/or estimation of the errors involved in this method. The accuracy obtained for the coordinates can reach few millimeters. Seasonal effects can affect such accuracy if they are not consistent treated during the data processing. Coordinates time series analyses have been realized using Fourier or Harmonics spectral analyses, wavelets, least squares estimation among others. An approach is presented in this paper aiming to investigate the seasonal effects included in the stations coordinates time series. Experiments were carried out using data from stations Manaus (NAUS) and Fortaleza (BRFT) which belong to the Brazilian Continuous GPS Network (RBMC). The coordinates of these stations were estimated daily using PPP and were analyzed through wavelets for identification of the periods of the seasonal effects (annual and semi-annual) in each time series. These effects were removed by means of a filtering process applied in the series via the least squares adjustment (LSQ) of a periodic function. The results showed that the combination of these two mathematical tools, wavelets and LSQ, is an interesting and efficient technique for removal of seasonal effects in time series.
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Accuracy concepts that involve systematic and random effects and precision, that involves only random ones, are reviewed in this paper. An objective discussion is presented based on the definitions that appear in the literature, followed by examples that may be enough to clarify some concepts and allow the extension for other applications. The discussion presented aims at raising eventual inconsistencies in the interpretations so as to provide better possibilities of use for those involved with this topic, which is fundamentally important in the quality analysis of cartographic, geodetic and remote sensing or photogrammetric products.
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Brazil follows the tendency of some countries to update and/or review their fundamental geodetic network. The adoption of geocentric referentials like SIRGAS 2000, the new official reference system of the Geodetic Brazilian System has been an advance. Changes in referential implies in coordinates changes on the network stations as well as the network geometry. To make use of analogical and digital products which are already known in the old referentials are necessary approaches to the coordinate conversion, which minimize the distortions between the used reference frames. This paper presents a distortion modeling approach between reference frames, based on distortion grid generation by using the Shepard's method. To analyze the approach some experiments were performed with the generation of a 1 degrees x1 degrees distortion grid to model the distortions between SAD 69 (1996) and SIRGAS (2000) frames. The results in the test stations were promising, with an average reduction of 50% in the RMS coordinates after the distortions modeling.
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In the past few years the interest is accomplishing a high accuracy positioning increasing. One of the methods that has been applied by the scientific community is the network based on positioning. By using multiple reference station data, it is possible to obtain centimetric positioning in a larger coverage area, in addition to gain in reliability, availability and integrity of the service. Besides, using this concept, it is possible to model the atmospheric effects (troposphere refraction and ionosphere effect). Another important question concerning this topic is related to the transmission of the network corrections to the users. There are some possibilities for this fact and an efficient one is the Virtual Reference Station (VRS) concept. In the VRS concept, a reference station is generated near to the rover receiver (user). This provides a short baseline and the user has the possibility of using a single frequency receiver to accomplish the relative positioning. In order to test this kind of positioning method, a software has been developed at São Paulo State University. In this paper, the methodology applied to generate the VRS data is described and the VRS quality is analyzed by using the Precise Point Positioning (PPP) method.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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In the relative positioning, even considering that part of the errors due to ionosphere is canceled with the double-difference observations, strong ionospheric effects can occur in maximum solar activity period. However, in minimum solar activity period, the ionospheric effects decrease significantly and therefore an improvement of the relative positioning performance takes place. In this paper we aim at showing that improvement for the scientific and GPS community users. So, have been experiments by using GPS data of two stations of the Brazilian Network for Continuous Monitoring of GPS, forming a baseline of 430 km. The processing were use accomplished with interval of two hours, and only L1 carrier data have been used. The analysis of the obtained results has been carried out from the discrepancies between the "true" coordinates and corresponding ones obtained in the processing. In maximum solar activity period the discrepancy value reached 25 m. on the other hand, in minimum solar activity period, the discrepancy value reached 5,5 m. It is important to emphasize that the majority of the discrepancy values didn't exceed 0,50 m, and in some cases only reached 0,10 m. This shows the increase of application possibilities of the relative positioning using single-frequency GPS receivers in minimum solar activity period.
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In the fields of Machine Vision and Photogrammetry, extracted straight lines from digital images can be used either as vector elements of a digital representation or as control entities that allow the determination of the camera interior and exterior orientation parameters. Applications related with image orientation require feature extraction with subpixel precision, to guarantee the reliability of the estimated parameters. This paper presents three approaches for straight line extraction with subpixel precision. The first approach considers the subpixel refinement based on the weighted average of subpixel positions calculated on the direction perpendicular to the segmented straight line. In the second approach, a parabolic function is adjusted to the grey level profile of neighboring pixels in a perpendicular direction to the segmented line, followed by an interpolation of this model to estimate subpixel coordinates of the line center. In the third approach, the subpixel refinement is performed with a parabolic surface adjustment to the grey level values of neighboring pixels around the segmented line. The intersection of this surface with a normal plane to the line direction generates a parabolic equation that allows estimating the subpixel coordinates of the point in the straight line, assuming that this is the critical point of this function. Three experiments with real images were made and the approach based on parabolic surface adjustment has presented better results.
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This paper proposes a methodology for automatic extraction of building roof contours from a Digital Elevation Model (DEM), which is generated through the regularization of an available laser point cloud. The methodology is based on two steps. First, in order to detect high objects (buildings, trees etc.), the DEM is segmented through a recursive splitting technique and a Bayesian merging technique. The recursive splitting technique uses the quadtree structure for subdividing the DEM into homogeneous regions. In order to minimize the fragmentation, which is commonly observed in the results of the recursive splitting segmentation, a region merging technique based on the Bayesian framework is applied to the previously segmented data. The high object polygons are extracted by using vectorization and polygonization techniques. Second, the building roof contours are identified among all high objects extracted previously. Taking into account some roof properties and some feature measurements (e. g., area, rectangularity, and angles between principal axes of the roofs), an energy function was developed based on the Markov Random Field (MRF) model. The solution of this function is a polygon set corresponding to building roof contours and is found by using a minimization technique, like the Simulated Annealing (SA) algorithm. Experiments carried out with laser scanning DEM's showed that the methodology works properly, as it delivered roof contours with approximately 90% shape accuracy and no false positive was verified.
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The spatial resolution improvement of orbital sensors has broadened considerably the applicability of their images in solving urban areas problems. But as the spatial resolution improves, the shadows become even a more serious problem especially when detailed information (under the shadows) is required. Besides those shadows caused by buildings and houses, clouds projected shadows are likely to occur. In this case there is information occlusion by the cloud in association with low illumination and contrast areas caused by the cloud shadow on the ground. Thus, it's important to use efficient methods to detect shadows and clouds areas in digital images taking in count that these areas care for especial processing. This paper proposes the application of Mathematical Morphology (MM) in shadow and clouds detection. Two parts of a panchromatic QuickBird image of Cuiab-MT urban area were used. The proposed method takes advantage of the fact that shadows (low intensity - dark areas) and clouds (high intensity - bright areas) represent the bottom and top, respectively, of the image as it is thought to be a topographic surface. This characteristic allowed MM area opening and closing operations to be applied to reduce or eliminate the bottom and top of the topographic surface.
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This paper proposes a monoscopic method for automatic determination of building's heights in digital photographs areas, based on radial displacement of points in the plan image and geometry at the time the photo is obtained. Determination of the buildings' heights can be used to model the surface in urban areas, urban planning and management, among others. The proposed methodology employs a set of steps to detect arranged radially from the system of photogrammetric coordinates, which characterizes the lateral edges of buildings present in the photo. In a first stage is performed the reduction of the searching area through detection of shadows projected by buildings, generating sub-images of the areas around each of the detected shadow. Then, for each sub-image, the edges are automatically extracted, and tests of consistency are applied for it in order to be characterized as segments of straight arranged radially. Next, with the lateral edges selected and the knowledge of the flight height, the buildings' heights can be calculated. The experimental results obtained with real images showed that the proposed approach is suitable to perform the automatic identification of the buildings height in digital images.