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| Name | Class |
|---|---|
| NHS Lothian | OTHER_GOV |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients | Patients awaiting invasive coronary angiography |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Computed tomography scan | Radiation | Computed tomography will be performed using a 320 multidetector computed tomography scanner and may include coronary calcium score, coronary angiography and imaging of myocardial perfusion, function and viability. |
| Measure | Description | Time Frame |
|---|---|---|
| Myocardial perfusion defects defined qualitatively by trained observers and quantitatively by computer software | 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. | 1 month |
| Measure | Description | Time Frame |
|---|---|---|
| Identification of regional wall motion abnormalities qualitatively by trained observers | Our secondary outcome measures are to assess the performance of 320-multidetector computed tomography in the detection of regional wall motion abnormalities in comparison to those obtained with 3Tesla cardiac magnetic resonance imaging. | 1 month |
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Inclusion Criteria:
Exclusion Criteria:
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Patients awaiting invasive coronary angiography
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| Name | Affiliation | Role |
|---|---|---|
| David E Newby | University of Edinburgh | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Royal Infirmary of Edinburgh | Edinburgh | Scotland | United Kingdom |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27624746 | Derived | Papanastasiou G, Williams MC, Dweck MR, Alam S, Cooper A, Mirsadraee S, Newby DE, Semple SI. Quantitative assessment of myocardial blood flow in coronary artery disease by cardiovascular magnetic resonance: comparison of Fermi and distributed parameter modeling against invasive methods. J Cardiovasc Magn Reson. 2016 Sep 13;18(1):57. doi: 10.1186/s12968-016-0270-1. |
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| ID | Term |
|---|---|
| D003327 | Coronary Disease |
| ID | Term |
|---|---|
| D017202 | Myocardial Ischemia |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D014652 | Vascular Diseases |
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| Identification of infarction qualitatively by trained observers |
Our secondary outcome measures are to assess the performance of 320-multidetector computed tomography in the detection of infarction in comparison to those obtained with 3Tesla cardiac magnetic resonance imaging. |
| 1 month |
| Identification of regional wall motion abnormalities quantitatively by computer software | Our secondary outcome measures are to assess the performance of 320-multidetector computed tomography in the detection of regional wall motion abnormalities in comparison to those obtained with 3Tesla cardiac magnetic resonance imaging. | 1 month |
| Identification of infarction qualitatively by computer software | Our secondary outcome measures are to assess the performance of 320-multidetector computed tomography in the detection of infarction in comparison to those obtained with 3Tesla cardiac magnetic resonance imaging. | 1 month |