CARLOS AUGUSTO GONCALVES PASQUALUCCI
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Patologia, Faculdade de Medicina - Docente
ATCIENT-50, SVOC
LIM/22 - Laboratório de Patolologia Cardiovascular, Hospital das Clínicas, Faculdade de Medicina - Líder
ATCIENT-50, SVOC
LIM/22 - Laboratório de Patolologia Cardiovascular, Hospital das Clínicas, Faculdade de Medicina - Líder
3 resultados
Resultados de Busca
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- Atherosclerosis and Dementia A Cross-Sectional Study With Pathological Analysis of the Carotid Arteries(2011) SUEMOTO, Claudia K.; NITRINI, Ricardo; GRINBERG, Lea T.; FERRETTI, Renata E. L.; FARFEL, Jose M.; LEITE, Renata E. P.; MENEZES, Paulo R.; FREGNI, Felipe; JACOB-FILHO, Wilson; PASQUALUCCI, Carlos A.Background and Purpose-Previous ultrasound-based studies have shown an association between carotid artery atherosclerosis and dementia. Our aim was to investigate this association using postmortem examination. Methods-Postmortem morphometric measurements of carotid stenosis and intima-media thickness were performed in individuals with dementia (n = 112) and control subjects (n = 577). Multivariate logistic regression models were applied. Results-High-grade left internal carotid stenosis (>= 70%) was associated with increased odds for dementia (OR, 2.30; 95% CI, 1.14-4.74; P = 0.02). Intima-media thickness was not associated with dementia. Conclusions-The likelihood of dementia is increased with high-grade left internal carotid artery atherosclerosis after adjusting for demographic and cardiovascular risk factors. (Stroke. 2011; 42: 3614-3615.)
- Diagnostic model based on Raman spectra of normal, hyperplasia and prostate adenocarcinoma tissues in vitro(2011) LOPES, Ricardo Matias; SILVEIRA JR., Landulfo; SILVA, Marcos Augusto R. S.; LEITE, Katia Ramos M.; PASQUALUCCI, Carlos Augusto G.; PACHECO, Marcos Tadeu T.This study evaluated the use of Raman spectroscopy to identify the spectral differences between normal (N), benign hyperplasia (BPH) and adenocarcinoma (CaP) in fragments of prostate biopsies in vitro with the aim of developing a spectral diagnostic model for tissue classification. A dispersive Raman spectrometer was used with 830 nm wavelength and 80 mW excitation. Following Raman data collection and tissue histopathology (48 fragments diagnosed as N, 43 as BPH and 14 as CaP), two diagnostic models were developed in order to extract diagnostic information: the first using PCA and Mahalanobis analysis techniques and the second one a simplified biochemical model based on spectral features of cholesterol, collagen, smooth muscle cell and adipocyte. Spectral differences between N, BPH and CaP tissues, were observed mainly in the Raman bands associated with proteins, lipids, nucleic and amino acids. The PCA diagnostic model showed a sensitivity and specificity of 100%, which indicates the ability of PCA and Mahalanobis distance techniques to classify tissue changes in vitro. Also, it was found that the relative amount of collagen decreased while the amount of cholesterol and adipocyte increased with severity of the disease. Smooth muscle cell increased in BPH tissue. These characteristics were used for diagnostic purposes.
- Classification model based on Raman spectra of selected morphological and biochemical tissue constituents for identification of atherosclerosis in human coronary arteries(2011) PERES, Marines Bertolo; SILVEIRA JR., Landulfo; ZANGARO, Renato Amaro; PACHECO, Marcos Tadeu Tavares; PASQUALUCCI, Carlos AugustoThis study presents the results of Raman spectroscopy applied to the classification of arterial tissue based on a simplified model using basal morphological and biochemical information extracted from the Raman spectra of arteries. The Raman spectrograph uses an 830-nm diode laser, imaging spectrograph, and a CCD camera. A total of 111 Raman spectra from arterial fragments were used to develop the model, and those spectra were compared to the spectra of collagen, fat cells, smooth muscle cells, calcification, and cholesterol in a linear fit model. Non-atherosclerotic (NA), fatty and fibrous-fatty atherosclerotic plaques (A) and calcified (C) arteries exhibited different spectral signatures related to different morphological structures presented in each tissue type. Discriminant analysis based on Mahalanobis distance was employed to classify the tissue type with respect to the relative intensity of each compound. This model was subsequently tested prospectively in a set of 55 spectra. The simplified diagnostic model showed that cholesterol, collagen, and adipocytes were the tissue constituents that gave the best classification capability and that those changes were correlated to histopathology. The simplified model, using spectra obtained from a few tissue morphological and biochemical constituents, showed feasibility by using a small amount of variables, easily extracted from gross samples.