Combined Non-invasive Coronary Angiography and Myocardial Perfusion Imaging Using 320 Detector Computed Tomography
- Conditions
- Coronary Artery DiseaseVascular DiseasesArterial Occlusive DiseasesCoronary DiseaseHeart DiseasesMyocardial IschemiaArteriosclerosisIschemia
- Interventions
- Procedure: 320 Volume Detector Computed Tomography
- Registration Number
- NCT00934037
- Lead Sponsor
- Johns Hopkins University
- Brief Summary
The purpose of this study is to evaluate the diagnostic accuracy of multi-detector computed tomography using 320 detectors for identifying the combination of coronary artery stenosis ≥ 50% and a corresponding myocardium perfusion defect in a patient with suspected coronary artery disease compared with conventional coronary angiography and single photon emission computed tomography myocardium perfusion imaging.
- Detailed Description
The Combined Coronary angiography and myocardial perfusion imaging using 320 detectors computed tomography (CORE-320) was designed as a prospective, multi-center, international, blinded study designed to evaluate the diagnostic accuracy of multi-detector computed tomography using 320 detectors for identifying coronary artery luminal stenosis and corresponding myocardium perfusion defects in patients with suspected coronary artery disease. The primary analysis will be a comparison of the diagnostic capability of the combination of quantitative 320-MDCT angiography and quantitative perfusion imaging to the combination of conventional coronary angiography and SPECT myocardial perfusion imaging at the patient level. A positive patient will be defined as having at least one vessel with a ≥ 50% diameter stenosis defined by quantitative coronary angiography and a corresponding positive SPECT territorial myocardial perfusion defect.
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 444
- Male or female patients, age 45-85. Women of child bearing potential must demonstrate a negative pregnancy test within 24 hours of the study MDCT.
- Suspected or diagnosed coronary artery disease with a clinical indication for coronary angiography; and planned coronary angiography within the next 60 days.
- Able to understand and willing to sign the Informed Consent Form.
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Known allergy to iodinated contrast media.
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History of contrast-induced nephropathy.
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History of multiple myeloma or previous organ transplantation.
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Elevated serum creatinine (> 1.5 mg/dl) OR calculated creatinine clearance of < 60 ml/min (using the Cockcroft-Gault formula.
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Atrial fibrillation or uncontrolled tachyarrhythmia, or advanced atrioventricular block (second or third degree heart block).
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Evidence of severe symptomatic heart failure (NYHA Class III or IV); Known or suspected moderate or severe aortic stenosis.
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Previous coronary artery bypass or other cardiac surgery.
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Coronary artery intervention within the last 6 months.
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Known or suspected intolerance or contraindication to beta-blockers including:
- Known allergy to beta-blockers
- History of moderate to severe bronchospastic lung disease (including moderate to severe asthma).
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Severe pulmonary disease (chronic obstructive pulmonary disease).
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Presence of any other history or condition that the investigator feels would be problematic.
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SPECT preformed in non-validated center within 60 days prior to screening.
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SPECT performed within the previous 6 months of screening but > 60 days.
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SPECT studies performed within 60 days of screening that include rest and stress studies performed using 2 day protocols.
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BMI greater than 40
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Combined CT Angiography and Myocardial Perfusion 320 Volume Detector Computed Tomography Single Arm study. All patients underwent combined CT Angiography and Myocardial Perfusion.
- Primary Outcome Measures
Name Time Method Diagnostic accuracy of volume (multi-detector) computed tomography using 320 detectors in a patient with suspected coronary artery disease. 30-60 Days Diagnostic accuracy of volume (multi-detector) computed tomography using 320 detectors for identifying coronary artery luminal stenosis and corresponding myocardium perfusion defects in a patient with suspected coronary artery disease.
- Secondary Outcome Measures
Name Time Method Compare the relative diagnostic accuracy of 320 CT perfusion vs SPECT in predicting at least one ≥ 50% coronary stenosis detected by quantitative conventional angiography. 30-60 Days Compare the relative diagnostic accuracy of 320 CT perfusion vs SPECT in predicting at least one ≥ 50% coronary stenosis detected by quantitative conventional angiography.
Compare the relative diagnostic accuracy of 320 CT angiography vs SPECT in predicting at least one ≥ 50% coronary stenosis detected by QCA 30-60 Days Compare the relative diagnostic accuracy of 320 CT angiography vs SPECT in predicting at least one ≥ 50% coronary stenosis detected by QCA
Diagnostic accuracy of volume computed tomography using 320 detectors in a vessel of a patient with suspected coronary artery disease. 30-60 Days Diagnostic accuracy of volume computed tomography using 320 detectors for identifying coronary artery luminal stenosis and corresponding territorial myocardium perfusion defects in a vessel of a patient with suspected coronary artery disease.
Trial Locations
- Locations (16)
Mount Elizabeth Hospital
🇸🇬Singapore, Singapore
St. Luke's International Hospital
🇯🇵Tokyo, Japan
Toronto General Hospital
🇨🇦Toronto, Canada
Mie University
🇯🇵TSU, Japan
Brigham and Women Hospital
🇺🇸Boston, Massachusetts, United States
Albert Einstein Hospital
🇧🇷Sao Paulo, Brazil
Rigshospitalet - University of Copenhagen
🇩🇰Blegdamsvej, Denmark
Keio University
🇯🇵Tokyo, Japan
Johns Hopkins School of Medicine
🇺🇸Baltimore, Maryland, United States
Charite Humboldt University
🇩🇪Berlin, Germany
National Heart Center
🇸🇬Singapore, Singapore
INCOR Heart Institute University-Sao Paulo
🇧🇷Sao Paulo, Brazil
Beth Israel Deaconess Medical Center
🇺🇸Boston, Massachusetts, United States
National Heart Lung and Blood Institute (NHLBI)
🇺🇸Bethesda, Maryland, United States
Iwate Medical University
🇯🇵Morioka, Japan
Leiden University
🇳🇱Leiden, Netherlands