Correlation between MCG and PET data

Abstract

Event Abstract Back to Event Correlation between MCG and PET data Illya A. Chaykovskyy1*, Mehdi Namdar1 and Phillip Kaufman1 1 Glushkov Institute of Cybernetics, Department of Sensors and Technologies for Non-contact Diagnostics , Ukraine Methods: 23 pts (5f/17m, mean age 61.4 year) have been examined by Coronary angiography, PET and magnetocardiography (MCG). PET images granted from Division of Nuclear Medicine of University Hospital Zurich. PET-images (presence or absence of perfusion insufficiency at rest and under adenosine induced hyperaemia) and global flow reserve have been evaluated based on ratio of hyperaemic/rest flow. MCG-examination performed by mobile system at unshielded location. Current density vectors maps have been reconstructed from magnetic field maps and evaluated. Based on MCG pts were blindly divided into 2 sub-groups: without (category1) and with clinically significant mild (category2), moderate (category3) or severe (category4) electrical abnormalities. After, correlation between above 4 MCG categories and PET parameters has been calculated. Besides, correlation between MCG-results and clinical features (presence or absence of angina pectoris and/or heart failure) as well as between MCG-results and presence or absence of CAD (significant stenosis in one coronary vessels at least) have been done by regression analysis (P<0.05 are considered as significant). Results: The highest correlation was found between pathologic findings in MCG with the presence of scar in PET-Imaging (82.6%). Regression analysis was demonstrated significant correlation of MCG-categories both with CFR (p=0.0107) and hyperaemic flow (p=0.0087). There was no correlation found between MCG and rest flow. Conclusion: Obtained results represent the first steps of the correlation between imaging of perfusion and the distribution of electric currents in human heart. These preliminary data show the necessity of comparison of MCG with validated imaging methods, presenting the goal of presenting a highly sensitive method in screening CAD. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: MCG: Instrumentation, Modeling, Basic and Clinical Studies Citation: Chaykovskyy IA, Namdar M and Kaufman P (2010). Correlation between MCG and PET data. Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00346 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 07 Apr 2010; Published Online: 07 Apr 2010. * Correspondence: Illya A Chaykovskyy, Glushkov Institute of Cybernetics, Department of Sensors and Technologies for Non-contact Diagnostics, Kyiv, Ukraine, illya_6@hotmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Illya A Chaykovskyy Mehdi Namdar Phillip Kaufman Google Illya A Chaykovskyy Mehdi Namdar Phillip Kaufman Google Scholar Illya A Chaykovskyy Mehdi Namdar Phillip Kaufman PubMed Illya A Chaykovskyy Mehdi Namdar Phillip Kaufman Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.