Our studies focus mainly on morphological and functional evaluation of pulmonary inflammation in clinical and experimental models using chest computed tomography (CT) and positron emission tomography with CT (PET-CT) as imaging tools. We use PET-CT to characterize biological processes at the cellular and molecular levels to investigate pulmonary inflammation’s physiopathological mechanisms. These studies are based on the assumption that the development of inflammation in the lung is prior to the development of tomographic changes, and it may be identified non-invasively. Our group also develops computer-aided diagnosis (CAD) systems for automated semantic segmentation, classiﬁcation, and quantiﬁcation of pulmonary involvement using deep learning algorithms.
Keywords: pulmonary inflammation, computed tomography, PET-CT, molecular imaging, artificial intelligence
MD, Medicine, Federal University of Rio de Janeiro, Brazil
PhD, Department of Radiology, Federal University of Rio de Janeiro, Brazil
Postdoctoral fellow, University of Pittsburgh, USA
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Wang LM, Wu Q, Kirk RA, Horn KP, Ebada Salem AH, Hoffman JM, Yap JT, Sonnen JA, Towner RA, Bozza FA, Rodrigues RS, Morton KA. Lipopolysaccharide endotoxemia induces amyloid-β and p-tau formation in the rat brain. Am J Nucl Med Mol Imaging. 2018 Apr 25;8(2):86-99. PMID: 29755842; PMCID: PMC5944824.
Disponível em Am J Nucl Med Mol Imaging
Silva BRA, Rodrigues RS, Rufino R, Costa CH, Vilela VS, Levy RA, Guimarães ARM, Carvalho ARS, Lopes AJ. Computed tomography trachea volumetry in patients with scleroderma: Association with clinical and functional findings. PLoS One. 2018 Aug 1;13(8):e0200754. PMID: 30067820; PMCID: PMC6070209.