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In a cohort of symptomatic patients referred to coronary computed tomography angiography (CCTA), the investigators aim is:
CCTA has become the preferred diagnostic modality for symptomatic patients with low to intermediate risk of CAD. Of the patients examined, CCTA exclude cardiovascular disease in 70-80% with an excellent negative predictive value of more than 95%. Having a low positive predictive value, however, CCTA often overestimates the severity of CAD, especially in patients with moderate to severe coronary calcification. Following CCTA, patients are hence unnecessarily tested using golden standard ICA-FFR. These ICAs often show no obstructive coronary stenosis and are therefore not followed by revascularization. The issues outlined raises the question of whether it is possible (1) to make a more precise risk stratification and consequently better selection of patients prior to CCTA and (2) to reduce the number of patients referred for unnecessary ICAs following CCTA.
In patients with suspicion of coronary stenosis detected by CCTA, current guidelines recommend verification of myocardial ischemia. Dan-NICAD 3 investigate the diagnostic accuracy of advanced non-invasive myocardial perfusion imaging tests; Rb PET and 15O-water PET. These examinations have shown a high diagnostic accuracy in symptomatic patients with high risk of ischemic heart disease. However, the diagnostic accuracy is not investigated in patients as follow-up after CCTA. In addition, microcirculation may impact the correlation between PET and ICA-FFR which this study will investigate further.
An alternative way to increase the diagnostic accuracy of CCTA and thus avoid unnecessary downstream testing using ICA is to utilize the ability to extract physiological information from the anatomical CCTA images. CT-FFR has in previous studies shown promising results. In addition, calculated estimation of microcirculatiory function is under development and this study will validated these algorithms. Furthermore, the prognostic value of CT-FFR is unknown and will be tested in the pooled cohort of Dan-NICAD 1, 2 and 3.
Obtained during ICA, quantitative flow ratio (QFR) is a novel wire-free approach for fast computation of FFR with potential to increase the global use of physiological lesion assessment. QFR is superior to traditional assessment of intermediate coronary lesions based on quantitative coronary analysis of ICA. However, disagreement between ICA-FFR and QFR has been identified in up to 20% of all measurements. QFR will be validated compared to PET and ICA-FFR.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort | Participants consenting to the study will undergo: a1) An interview a2) Blood samples withdrawals a3) ECG a4) Non-enhanced CT a5) CCTA a6) Follow-up for > 10 years Patients with suspicion of coronary stenosis detected by CCTA will after undergo: b1) Rb PET b2) 15O-water PET b3) Invasive coronary angiography with 3 vessel measurement of fractional flow reserve (FFR), coronary flow reserve (CFR) and index of microvascular resistance (IMR) |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Head to head comparison: Rubidium vs 15O-water PET | Diagnostic Test | Head to head comparison with invasive FFR as reference. Adjustment for abnormal microcirculation |
|
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic accuracy of Rb PET and 15-O PET | Head-to-head comparison using ICA-FFR as reference standard stratified for CFR | ICA: 4 weeks after inclusion |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic accuracy of QFR vs. ICA-FFR | Head-to-head comparison using ICA-FFR as reference standard | ICA: 4 weeks after inclusion |
| Pre-test probability model of CAD | Advanced pre-test probability model of CAD included clinical information, genetic and circulating biomarkers |
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- Inclusion Criteria:
Patients with an indication for CCTA. Qualified patients who have signed a written informed consent form.
- Exclusion Criteria:
Demography and co-existing cardiac morbidity specific: Age below 30 years, patients having a donor heart, a mechanic heart, or mechanical heart pump, suspicion acute coronary syndrome or previous revascularization.
CCTA: Pregnant women, including women who are potentially pregnant or lactating, reduced kidney function, with an estimated glomerular filtration rate (eGFR) < 40 mL/min or allergy to X-ray contrast medium.
PET: contra-indication for adenosine (severe asthma, advanced atrioventricular block, or critical aorta stenosis).
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Patients with an indication for CCTA.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Simon Winther, MD, PhD | Contact | 78430000 | simwin@rm.dk |
| Name | Affiliation | Role |
|---|---|---|
| Simon Winther, MD, PhD | Hospital Unit West, Herning, Denmark | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Gødstrup Hospital | Recruiting | Herning | 7400 | Denmark |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27225018 | Background | Nissen L, Winther S, Isaksen C, Ejlersen JA, Brix L, Urbonaviciene G, Frost L, Madsen LH, Knudsen LL, Schmidt SE, Holm NR, Maeng M, Nyegaard M, Botker HE, Bottcher M. Danish study of Non-Invasive testing in Coronary Artery Disease (Dan-NICAD): study protocol for a randomised controlled trial. Trials. 2016 May 26;17(1):262. doi: 10.1186/s13063-016-1388-z. | |
| 31323454 |
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| ID | Term |
|---|---|
| D000787 | Angina Pectoris |
| D050197 | Atherosclerosis |
| D003324 | Coronary Artery Disease |
| D017202 | Myocardial Ischemia |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D014652 | Vascular Diseases |
| D002637 | Chest Pain |
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From all participants consenting to the study, blood samples are drawn prior to CCTA contrast administration. Samples are centrifuged and processed into etylen-diamin-tetra-eddikesyre (EDTA) and heparin treated plasma, and serum, which are aliquoted into individual matrix tubes and placed at -20°C. In addition, one blood samples are placed directly in the freezer for later extraction of genomic DNA.
| ICA: 4 weeks after inclusion |
| Diagnostic accuracy of QFR | Head-to-head comparison using ICA-FFR as reference standard | ICA: 4 weeks after inclusion |
| Diagnostic accuracy of CT-FFR | Head-to-head comparison with PET using ICA-FFR as reference standard | ICA: 4 weeks after inclusion |
| Effect of reduced myocardial perfusion defect on symptoms of angina pectoris | 12 months re-PET investigation will by used for estimation of reduction of myocardial perfusion defect size which will be correlated with symptoms of angina pectoris 3 and 12 mdr. after ICA | Re-PET: 12 months after inclusion |
| Prognostic value of clinical, biomarker, genetic information | Prognotic models will be developed based on machine learning algorithms | Follow-up: Myocardial infarction and mortality rates after 3+5+10 years |
| Prognostic value of clinical markers, CCTA, Rb PET, 15O-water PET, CT-FFR and QFR | Prognotic models will be developed based on machine learning algorithms | Follow-up: Myocardial infarction and mortality rates after 3+5+10 years |
| Predictive models of obstructive CAD | Development of pre-test probability models of obstructive CAD at ICA | ICA: 4 weeks after inclusion |
| Rasmussen LD, Winther S, Westra J, Isaksen C, Ejlersen JA, Brix L, Kirk J, Urbonaviciene G, Sondergaard HM, Hammid O, Schmidt SE, Knudsen LL, Madsen LH, Frost L, Petersen SE, Gormsen LC, Christiansen EH, Eftekhari A, Holm NR, Nyegaard M, Chiribiri A, Botker HE, Bottcher M. Danish study of Non-Invasive testing in Coronary Artery Disease 2 (Dan-NICAD 2): Study design for a controlled study of diagnostic accuracy. Am Heart J. 2019 Sep;215:114-128. doi: 10.1016/j.ahj.2019.03.016. Epub 2019 May 1. |
| 41913985 | Derived | Rasmussen LD, Hoek R, Westra J, Soby JH, Maaniitty T, Braathen AT, Saraste A, Isaksen C, Nissen L, Petersen SE, Aakhus S, Knaapen P, Gormsen LC, Christiansen EH, Knuuti JM, Bottcher M, Driessen RS, Winther S. Diagnostic yield of second-line functional imaging after an abnormal coronary computed tomography angiography: an individual patient-data meta-analysis. Eur Heart J Cardiovasc Imaging. 2026 Jun 1;27(6):1176-1189. doi: 10.1093/ehjci/jeag088. |
| 40887988 | Derived | Westra J, Rasmussen LD, Karim SR, Jensen RV, Ejlersen JA, Gormsen LC, Bottcher M, Eftekhari A, Winther S, Christiansen EH. Coronary microvascular disease in patients referred to coronary angiography following coronary computed tomography angiography. EuroIntervention. 2025 Sep 1;21(17):e1005-e1014. doi: 10.4244/EIJ-D-24-01155. |
| 40590244 | Derived | Rasmussen LD, Sikjaer M, Soby JH, Pedersen OB, Westra J, Efthekhari A, Christiansen EH, Foldyna B, Williams MC, Dweck MR, Newby DE, Douglas PS, Bottcher M, Winther S. Dual probability approach for risk adjustment in patients with a low clinical likelihood of coronary artery disease. Eur Heart J Cardiovasc Imaging. 2025 Aug 29;26(9):1507-1517. doi: 10.1093/ehjci/jeaf193. |
| 40177753 | Derived | Winther S, Rasmussen LD, Karim SR, Westra J, Dahl JN, Soby JH, Nissen L, Lomstein FB, Wurtz M, Sundboll JM, Ejlersen JA, Mortensen J, Tolbod LP, Sondergaard HM, Hansson NCL, Nyegaard M, Jensen RV, Madsen MA, Christiansen EH, Gormsen LC, Bottcher M. Myocardial Perfusion Imaging With PET: A Head-to-Head Comparison of 82Rubidium Versus 15O-water Tracers Using Invasive Coronary Measurements as Reference. Circ Cardiovasc Imaging. 2025 Jun;18(6):e017479. doi: 10.1161/CIRCIMAGING.124.017479. Epub 2025 Apr 3. |
| 39788470 | Derived | Brix GS, Rasmussen LD, Rohde PD, Nissen L, Nyegaard M, O'Donoghue ML, Bottcher M, Winther S. Elevated lipoprotein(a) levels are independently associated with the presence of significant coronary stenosis in de-novo patients with stable chest pain. Am Heart J. 2025 Apr;282:103-113. doi: 10.1016/j.ahj.2025.01.001. Epub 2025 Jan 7. |
| 39217607 | Derived | Rasmussen LD, Westra J, Karim SR, Dahl JN, Soby JH, Ejlersen JA, Gormsen LC, Eftekhari A, Christiansen EH, Bottcher M, Winther S. Microvascular resistance reserve: impact on health status and myocardial perfusion after revascularization in chronic coronary syndrome. Eur Heart J. 2025 Feb 3;46(5):424-435. doi: 10.1093/eurheartj/ehae604. |
| 38970593 | Derived | Rasmussen LD, Karim SR, Westra J, Nissen L, Dahl JN, Brix GS, Knuuti J, Schmidt SE, Holm NR, Christiansen EH, Eftekhari A, Bottcher M, Winther S. Clinical Likelihood Prediction of Hemodynamically Obstructive Coronary Artery Disease in Patients With Stable Chest Pain. JACC Cardiovasc Imaging. 2024 Oct;17(10):1199-1210. doi: 10.1016/j.jcmg.2024.04.015. Epub 2024 Jul 3. |
| 37487656 | Derived | Winther S, Dupont Rasmussen L, Westra J, Abdulzahra SRK, Dahl JN, Gormsen LC, Christiansen EH, Brix GS, Mortensen J, Ejlersen JA, Sondergaard HM, Hansson NCL, Holm NR, Knudsen LL, Eftekhari A, Moller PL, Rohde PD, Nyegaard M, Bottcher M. Danish study of Non-Invasive Testing in Coronary Artery Disease 3 (Dan-NICAD 3): study design of a controlled study on optimal diagnostic strategy. Open Heart. 2023 Jul;10(2):e002328. doi: 10.1136/openhrt-2023-002328. |
| D010146 |
| Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D001161 | Arteriosclerosis |
| D001157 | Arterial Occlusive Diseases |
| D003327 | Coronary Disease |