Cardiogoniometry for Detecting Coronary Artery Disease by CT Angiography
Study Overview
Status
Intervention / Treatment
Detailed Description
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:
- Compare the diagnostic accuracy of cardiogoniometry with standard ECG for detecting coronary artery disease as assessed by CT angiography
- Investigate the relationship between abnormal cardiogoniometry findings and the extent/severity/location of coronary artery disease by CT angiography
- Compare the intermediate term prognosis of patients according to cardiogoniometry, standard ECG, and CT findings
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Maryland
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Baltimore, Maryland, United States, 21287
- Johns Hopkins Hospital
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Patients age 18 or older who are referred for elective cardiac CT examination for evaluation of coronary artery disease
Exclusion Criteria:
- hemodynamic instability
- history of anaphylactic contrast reaction
- inability of following breath hold instructions
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: Cardiogoniometry and ECG Assessment
The same patient will undergo both advanced ECG assessment using cardiogoniometry and standard ECG
|
ECG device which records comprehensive voltage potential data in the myocardium
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy of Identifying Patients With at Least One 50 Percent or Greater Coronary Artery Stenosis by CT Angiography
Time Frame: 30 days from CGM analysis
|
Area under curve (AUC) analysis is proposed to be used to determine the diagnostic accuracy of cardiogoniometry for detecting patients with coronary heart disease as defined by at least one 50% or greater stenosis on CT coronary angiography.
|
30 days from CGM analysis
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Accuracy of Identifying Patients With Any Coronary Atherosclerotic Disease by CT Angiography
Time Frame: 30 days
|
Area under the curve (AUC) analysis is proposed to be used to asses the diagnostic accuracy of CGM for identifying patients with any coronary atherosclerotic disease
|
30 days
|
|
Incidence of Death at Follow up
Time Frame: 5 years after enrollment
|
Patient follow up data will be used to performance of CGM to identify patients who are at risk of suffering adverse cardiac events at follow up compared to coronary CT angiography using AUC analysis.
|
5 years after enrollment
|
|
Risk of Myocardial Infarction
Time Frame: 5 years after enrollment
|
Incidence of myocardial infarction at follow up
|
5 years after enrollment
|
|
Risk of Revascularization at Follow up
Time Frame: 5 year after enrollment
|
Incidence of revascularization at follow up
|
5 year after enrollment
|
|
Risk of Hospitalization
Time Frame: 5 years after enrollment
|
Incidence of hospitalization at follow up
|
5 years after enrollment
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Armin A Zadeh, MD PhD MPH, Johns Hopkins University
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IRB00033908
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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