A computational method for the analysis of tissue and microvascular changes in organs with sepsis using the Sidestream Dark FieldImaging (SDF) imaging technique

• Grant number: 12/19738-7
• Support Opportunities: Scholarships in Brazil - Doctorate
• Effective date (Start): January 01, 2013
• Effective date (End): July 31, 2014
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Marcel Parolin Jackowski
• Grantee: Jihan Mohamad Zoghbi
• Host Institution: Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 11/20401-4 - Sepsis: integrating basic research and clinical research II, AP.TEM

Abstract

New diagnostic and therapeutic methods to aid the septic patient little has changed the high mortality rate scenario. The progressive impairment of the microcirculation associated with increased systemic inflammatory response in sepsis has been considered the genesis "engine" of the syndrome Multiple Organ Dysfunction that often progresses to death. However, despite the recognized importance of the microcirculatory dysfunction, analysis methods able to correlate the severity of sepsis with the degree of impairment of microhemodynamics captured by portable microscope Sidestream Dark FieldImaging (SDF) are scarce. Hence, the classification of the severity of sepsis by analyzing the microcirculatory dysfunction would be of great assistance in diagnosing severity and therapeutic management. In this context, the aim of this project is to develop a computational methodology for determining the degree of microvascular and tissue commitment due to sepsis. Methods: The images of microcirculation of abdominal organs were captured with SDF after induction of sepsis with known lethality by IV inoculation of 3 ml of E.coli 108 (DL_ {50-60}) $ 109 (DL_ {73-80}) and / or1010 (DL_ {100}) CFU / ml in EPM-Wistar rats, 250 to 300 grams. Images collected in vivo will be submitted for analysis with different computational methods to measure the degree of impairment of microhemodynamics in different severity phases of sepsis. After choosing the analysis method, validation will be performed by comparing with histological analysis of the respective organs where the images were originally acquired. All experiments were performed in the laboratory of Prof. Dr. Ivan Hong Jun Koh from UNIFESP who is one of the principal investigators of the project FAPESP 11/20401-4 and the computational methods will be performed in the laboratory of Prof. Dr. Marcel Jackowski, at the Institute of Mathematics and Statistics, USP. At the end of the project, we plan to offer a means for rapid diagnosis and monitoring of sepsis in real time. (AU)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ZOGHBI, Jihan Mohamad. Detection and Characterization of degeneration of Micro- circulation in Patients with Sepsis Using Sidestream Dark field (SDF). 2016. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME/SBI) São Paulo.