Comprehensive Computed Tomography Guidance of Coronary Bypass Graft Surgery
a study on Coronary Artery Disease Computed Tomography Coronary Artery Bypass Heart Conditions Atherosclerosis Peripheral Artery Disease
Summary
- Eligibility
- for people ages 40 years and up (full criteria)
- Location
- at San Diego, California and other locations
- Dates
- study startedcompletion around
- Principal Investigator
- by Andrew Kahn, MD
Description
Summary
Apply CT angiography, CT perfusion imaging and advanced image processing techniques to improve revascularization decision-making and surgical strategies in patients undergoing coronary artery bypass graft surgery.
Official Title
Comprehensive CT Guided Coronary Bypass Graft Surgery
Details
The objective of this study is to integrate noninvasively acquired anatomical and functional information to develop clinically applicable tools for meaningful per-vessel revascularization decisions. The decisions will be based on quantitative lesion-specific ischemia and viability and flow simulations. These will be based on CT anatomy enhanced with a function for prediction of hemodynamic improvement after CABG.
Aim 1: Predict restoration of myocardial perfusion from coronary artery bypass graft surgery. The investigators will perform cardiac CT before and after CABG and measure absolute changes in myocardial perfusion as the functional outcome of CABG. The investigators will investigate clinical, surgical and imaging variables in association with post-CABG perfusion improvement on a per-vessel and per-patient level.
Aim 2: Non-invasively quantify vessel-specific ischemia for meaningful CABG decisions.
The investigators will develop and validate tools for assessment of vessel-specific ischemia and viability. The investigators will assess the potential impact of CT guided CABG by comparing the per-vessel need for grafting with standard care.
Aim 3: Predict CABG benefit through multi-parameter flow simulations Hypothesis: Integration of myocardial perfusion and viability can improve flow simulation models to predict CABG outcome. The investigators will develop new computational fluid dynamics models enriched with functional parameters and explore the potential of virtual grafting to improve hemodynamic outcomes.
Keywords
CAD, Atheroscleroses, Coronary, Computed Tomography, Coronary Artery Bypass, Atherosclerosis, Coronary Artery Disease, Myocardial Ischemia
Eligibility
You can join if…
Open to people ages 40 years and up
- Planned elective CABG for coronary artery disease.
- CABG is the primary indication for surgery (but may include treatment of mild-moderate valvular disease).
- Age: ≥40 years.
You CAN'T join if...
- Technical feasibility of the cardiac CT exams: redo-CABG, significant arrhythmia/mal-conduction, congenital conditions, severe valvular disease or cardiomyopathy (to the extent that the CT acquisition is technically challenged), inadequate understanding of the English language (to provide consent or follow instructions during the exams).
- Overall safety: unstable clinical condition (clinical heart failure, unstable angina, myocardial infarction <1 month prior).
- Radiation risk: pregnancy (cannot be ruled out), body weight >100kg.
- CT contrast medium-related: known allergy, renal failure
- Vasodilator related: known allergy, bronchial asthma requiring daily use of bronchodilators, Mobitz II or 3rd degree AV block, sick sinus node disease, clinically significant carotid artery narrowing, severe aortic stenosis or LVOT narrowing, systolic blood pressure below 90mmHg, (continued) use of dipyridamole or aminophylline.
- Inability to provide informed consent.
Locations
- University of California San Diego
accepting new patients
San Diego California 92093 United States - Palo Alto Veterans Affaird Healthcare System
accepting new patients
Palo Alto California 94304 United States - Stanford University
accepting new patients
Palo Alto California 94304 United States
Lead Scientist at UCSD
Details
- Status
- accepting new patients
- Start Date
- Completion Date
- (estimated)
- Sponsor
- Stanford University
- ID
- NCT03894423
- Study Type
- Observational
- Participants
- Expecting 200 study participants
- Last Updated
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