Coronary Artery Disease Clinical Trial
Official title:
Cardiogoniometry for Detecting Coronary Artery Disease by CT Angiography
Cardiogoniometry is a technique to process and evaluate vectorcardiography from regular ECG acquisitions. Vectorcardiography has a long tradition in cardiology for providing comprehensive information on myocardial function and integrity. In recent years, computer assisted analysis has allowed automated interpretation of vectorcardiography with promising results in comparison to standard ECG for identifying patients with coronary heart disease. This study aims to investigate the utility of cardiogoniometry for noninvasively identifying patients who are at risk from coronary heart disease.
Cardiogoniometry is a technique to process and evaluate vectorcardiography from regular ECG
acquisitions. Vectorcardiography has a long tradition in cardiology for providing
comprehensive information on myocardial function and integrity. Compared to standard
electrocardiography, vectorcardiography has shown to be more sensitive to detect structural
and ischemic heart disease. Unfortunately, the interpretation of vectorcardiography is
complex which has hindered its widespread application. In recent years, computer assisted
analysis has allowed automated interpretation of vectorcardiography with promising results in
comparison to standard ECG for identifying patients with ischemic heart disease. However, the
underlying mechanisms and threshold of altered cardiac vectors in the presence of coronary
artery disease are not well understood. This research aims at exploring the relationship of
computer assisted analysis of vectorcardiography with the presence, extent, severity, and
location of coronary artery disease in comparison to standard ECG evaluation. Furthermore,
the investigators intent to follow up enrolled patients for the occurrence of adverse
cardiovascular events for correlation with test findings. These data will provide
comprehensive information on the diagnostic performance of noninvasive, inexpensive
evaluation of cardiac vector loops for identifying patients at risk from coronary artery
disease. Specifically, the study aims to:
1. Compare the diagnostic accuracy of cardiogoniometry with standard ECG for detecting
coronary artery disease as assessed by CT angiography
2. Investigate the relationship between abnormal cardiogoniometry findings and the
extent/severity/location of coronary artery disease by CT angiography
3. Compare the intermediate term prognosis of patients according to cardiogoniometry,
standard ECG, and CT findings
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