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Express?o Imuno-histoqu?mica das prote?nas GLUT-1 e HIF-1? em les?es vasculares de mucosa oralOliveira, Denise H?len Imaculada Pereira de 16 February 2012 (has links)
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Previous issue date: 2012-02-16 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / The correct histological diagnosis of vascular lesions in the oral mucosa is
critical, especially in defining the treatment and prognosis, as some vascular lesions
show spontaneous involution and others do not show such behavior. This study
analyzed the expression immunohistochemistry of human glucose transporter protein
(GLUT-1), in oral benign vascular tumors and to reclassify such lesions according to
with his immunoexpression. In addition, we evaluated the immunohistochemical
expression of hypoxia-inducible factor 1 alpha (HIF-1?), the main transcription factor
involved in cellular adaptation to hypoxia. We analyzed 60 cases of benign oral vascular
tumors: 30 cases with histological diagnosis of HEM and 30 cases of oral pyogenic
granuloma (PG). The results of this research showed that of the 30 lesions initially
classified as HEM, only 7 showed immuno-positivity for GLUT-1, remaining with the
initial diagnosis. The remaining 23 were reclassified as vascular malformation (VM)
(13 cases) and PG (10 cases). All cases in the sample with an initial diagnosis of PG
were negative for GLUT-1, demonstrating the accuracy of histological diagnosis of
these lesions. Concerning to the immunoexpression of HIF-1?, the Mann-Whitney test
revealed a statistically significant difference between the cases of GP and MV (p =
0.002), where the median of GP (m=78) was higher than the MV (m=53). Based on
these results, this study showed that a histological diagnosis alone is not always
sufficient for the correct diagnosis of oral HEM and that HIF-1? participates in the
pathogenesis of vascular lesions / O correto diagn?stico histol?gico de les?es vasculares em mucosa oral ?
fundamental, sobretudo na hora de definir o tratamento e progn?stico, visto que
algumas dessas les?es apresentam involu??o. Este trabalho analisou a express?o imunohistoqu?mica
da prote?na humana transportadora de glicose (GLUT-1), em tumores
vasculares benignos orais e reclassificou tais les?es de acordo com sua imunoexpress?o.
Al?m disso, avaliou a express?o imuno-histoqu?mica do fator 1 induz?vel por hip?xia
(HIF-1?), principal fator de transcri??o envolvido na adapta??o celular ? hip?xia. Foram
analisados 60 casos de tumores vasculares benignos orais, sendo 30 casos com
diagn?stico histol?gico de HEM e 30 casos de granulomas piog?nicos orais (GP). Os
resultados desta pesquisa demonstraram que das 30 les?es inicialmente classificadas
como HEM, apenas 7 apresentaram imuno-positividade para GLUT-1, permanecendo
com o diagn?stico inicial. As 23 restantes foram reclassificadas em malforma??o
vascular (MV) 13 casos e GP 10 casos . Todos os casos da amostra com diagn?stico
inicial de GP apresentaram-se negativos para GLUT-1. Quanto ? imunoexpress?o do
HIF-1?, o teste de Mann-Whitney revelou diferen?a estatisticamente significativa entre
os casos de GP e MV(p=0,002), onde a mediana do GP (m=78) foi superior a da MV
(m=53). Com base nesses resultados, este estudo mostrou que o diagn?stico histol?gico
por si s? nem sempre ? suficiente para o diagn?stico correto do HEM oral e que o HIF-
1? participa da patog?nese das les?es vasculares
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Paraleliza??o em GPU da segmenta??o vascular com extra??o de Centerlines por Height RidgesRibeiro, ?talo Mendes da Silva 02 March 2011 (has links)
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Previous issue date: 2011-03-02 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / The vascular segmentation is important in diagnosing vascular diseases like stroke
and is hampered by noise in the image and very thin vessels that can pass unnoticed.
One way to accomplish the segmentation is extracting the centerline of the vessel with
height ridges, which uses the intensity as features for segmentation. This process can
take from seconds to minutes, depending on the current technology employed. In order
to accelerate the segmentation method proposed by Aylward [Aylward & Bullitt 2002]
we have adapted it to run in parallel using CUDA architecture. The performance of the
segmentation method running on GPU is compared to both the same method running
on CPU and the original Aylward s method running also in CPU. The improvemente of
the new method over the original one is twofold: the starting point for the segmentation
process is not a single point in the blood vessel but a volume, thereby making it easier for
the user to segment a region of interest, and; the overall gain method was 873 times faster
running on GPU and 150 times more fast running on the CPU than the original CPU in
Aylward / A segmenta??o vascular ? importante no diagn?stico de doen?as como o acidente vascular
cerebral e ? dificultada por ru?dos na imagem e vasos muito finos que n?o s?o vistos.
Uma maneira de realizar a segmenta??o ? extraindo a centerline do vaso com height ridges,
que usa a intensidade como caracter?sticas para a segmenta??o. Este processo pode
levar de segundos a minutos, dependendo da tecnologia atual empregada. O m?todo ?
implementado em GPU, ou seja, ? executado de maneira paralela em placa gr?fica. O
desempenho do m?todo de segmenta??o executado em GPU ? comparado com o mesmo
m?todo em CPU e o m?todo original de Aylward em execu??o tamb?m na CPU. O melhoramento
do novo m?todo sobre o original ? dupla. O ponto de partida para o processo
de segmenta??o n?o ? um ?nico ponto no vaso sangu?neo, mas um volume, tornando assim
mais f?cil para o usu?rio a sele??o de uma regi?o de interesse, e, o ganho do m?todo
proposto foi 873 vezes mais r?pido sendo executado em GPU e 150 vezes mais r?pido
sendo executado em CPU do que o original de Aylward em CPU
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