Dynamic Myocardial Perfusion Imaging by 320 Multidetector Computed Tomography
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Coronary Heart Disease
- Sponsor
- University of Edinburgh
- Enrollment
- 51
- Locations
- 1
- Primary Endpoint
- Myocardial perfusion defects defined qualitatively by trained observers and quantitatively by computer software
- Status
- Completed
- Last Updated
- 7 years ago
Overview
Brief Summary
Recent advances in technology have resulted in the development of scanners that can image the heart blood vessels within 10 to 20 minutes but without the need for admission to hospital or insertion of catheters. Further advances in technology allow the visualisation of both the blood vessels and the supply of blood to the heart muscle. Here we propose to assess the latest and most powerful computed tomography scanner and compare it to magnetic resonance and conventional coronary angiography.
Investigators
Eligibility Criteria
Inclusion Criteria
- •referred for invasive coronary angiography because of suspected coronary heart disease
Exclusion Criteria
- •inability or unwillingness to undergo computed tomography or magnetic resonance imaging
- •renal failure (serum creatinine \>200 micromol/L or estimated glomerular filtration rate \<30 mL/min)
- •hepatic failure
- •allergy to iodinated contrast or gadolinium
- •pregnancy
- •contraindication to adenosine infusion
- •inability to give informed consent
- •inability to perform fractional flow reserve during invasive coronary angiography
Outcomes
Primary Outcomes
Myocardial perfusion defects defined qualitatively by trained observers and quantitatively by computer software
Time Frame: 1 month
The primary outcome measure is to establish whether 320-multidetector computed tomography can identify myocardial perfusion defects as compared to the gold standards of 3Tesla magnetic resonance imaging and fractional flow reserve measured during invasive coronary angiography.
Secondary Outcomes
- Identification of infarction qualitatively by trained observers(1 month)
- Identification of regional wall motion abnormalities quantitatively by computer software(1 month)
- Identification of infarction qualitatively by computer software(1 month)
- Identification of regional wall motion abnormalities qualitatively by trained observers(1 month)