Regional imbalances in lung perfusion: a validation study on electrical impedance tomography

• Grant number: 12/07221-0
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: August 01, 2012
• End date: July 31, 2015
• Field of knowledge: Health Sciences - Medicine - Medical Clinics
• Principal Investigator: Marcelo Britto Passos Amato
• Grantee: Marcelo do Amaral Beraldo
• Host Institution: Faculdade de Medicina (FM). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Disorders of lung perfusion are responsible for 300,000 deaths / year in the U.S.A. However, its diagnosis is often a challenge due to its nonspecific presentation and lack of clinical tools available. The development and improvement of electrical impedance tomography (EIT), a non-invasive technology that can continuously monitor the pulmonary function (perfusion and ventilation) at bedside is of great clinical relevance and technological developments in this field. The challenge of this project is to validate the measures of pulmonary perfusion obtained by EIT with the measurements obtained by high-resolution computer tomography in specific three clinical situations reproduced in a porcine experimental model. Will be used three experimental groups in the porcine model; first) normal lung and supine / prone positions: to observe gravitational effects on regional lung perfusion; second) injured lung and supine position: to observe the effects of hypoxemia and pulmonary collapse on regional lung perfusion; third) pulmonary artery embolization - occluded pulmonary artery catheter: to observe the regional pulmonary perfusion defects. The validation of these data will be of great importance, allowing the EIT to significantly advance the diagnosis, monitoring and treatment of many pulmonary clinical situations

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

KAY, FERNANDO ULIANA; BERALDO, MARCELO A.; NAKAMURA, MARIA A. M.; SANTIAGO, ROBERTA DE SANTIS; TORSANI, VINICIUS; GOMES, SUSIMEIRE; ROLDAN, ROLLIN; TUCCI, MAURO R.; ABBARA, SUHNY; AMATO, MARCELO B. P.; et al. Quantitative Dual-Energy Computed Tomography Predicts Regional Perfusion Heterogeneity in a Model of Acute Lung Injury. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, v. 42, n. 6, p. 866-872, NOV-DEC 2018. (12/07221-0)