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In a cohort of symptomatic patients referred to coronary computed tomography angiography (CCTA), the investigators aim:
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. In Dan-NICAD 2, we intend to investigate the diagnostic accuracy of advanced non-invasive myocardial perfusion imaging tests; Rb PET and 3T CMRI. 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.
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. CT-FFR has not been head to head compared against Rb PET and 3T CMRI.
Obtained during ICA, 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 (ICA-QCA diameter stenosis). However, disagreement between FFR and QFR has been identified in up to 20% of all measurements.
Acoustic detections of coronary stenosis from automatically recorded and analyzed heart sounds is a newly developed technology potentially useful for pre-test risk stratification before e.g. CCTA. One of these devices, the CADScor®System, has previously shown an area under the receiver operating characteristic curve (AUC of ROC) of 70-80% compared to conventional ICA-QCA. This indicates that the CADScor®System could potentially supplement clinical assessment of CAD and be used for risk stratification prior to CCTA.
The investigators aim to obtain blood samples for biobank purposes and record heart sounds with the CADScor®System in 2000 patients that by clinical evaluation undergo CCTA. In approximately 400 patients (20%), CCTA does not exclude significant CAD. These patients are all examined using Rb PET, 3T CMRI, and ICA with QCA. In patients with a coronary diameter stenosis of 30-90% determined during the ICA examination, FFR, coronary flow reserve (CFR) and QFR is performed.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Diagnostic tests | Diagnostic Test | Head-to-head comparison between:
|
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic accuracy of 3T CMRI vs. Rb PET. | Head-to-head comparison using ICA-FFR as reference standard. Diagnostic accuracy is measured using specificity, sensitivity, positive and negative predictive value and likelihood ratios. | 4 weeks after inclusion. |
| Diagnostic accuracy of QFR vs. ICA-FFR. | Head-to-head comparison using myocardial perfusion examinations as reference standard. Diagnostic accuracy is measured using specificity, sensitivity, positive and negative predictive values, likelihood ratios and area under receiving operating curves (AUC-ROC). | 4 weeks after inclusion. |
| Diagnostic accuracy of CADScor vs. Diamond-Foster Score. | AUC-ROC for CAD-score and Diamond-Forrester score in detection of CAD with CCTA and ICA-QCA as reference in patients ≥40 years. | 4 weeks after inclusion. |
| Measure | Description | Time Frame |
|---|---|---|
| Genome-wide Associations. | The primary analysis will be a genome-wide association analysis, to determine candidate genes and markers underlying coronary artery disease and bone mineralization. | 4 weeks after inclusion. |
| Bone mineral density. |
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Inclusion Criteria:
Exclusion Criteria:
CADScor specific
Demography and co-existing cardiac morbidity specific
Scan specific
CCTA:
CMRI and PET:
General:
- Patients not able to breath-hold (COPD/asthma).
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Patients with an indication for CCTA.
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| Name | Affiliation | Role |
|---|---|---|
| Morten Böttcher, MD, Ph.D | Regional Hospital of Herning, department of cardiology | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Aarhus University Hospital | Aarhus | Central Jutland | 8200 | Denmark | ||
| Regional Hospital of Herning |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 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. | |
| 40590244 |
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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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Not provided
| ID | Term |
|---|---|
| D003955 | Diagnostic Tests, Routine |
| ID | Term |
|---|---|
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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To study the bone mineral density in this cohort and its relation to vascular calcification.
| 1 day after inclusion. |
| Coronary flow measurement´s impact on diagnostic accuracy of myocardial perfusion imaging (MPI). | Impact of coronary flow reserve (CFR) and index of microcirculatory resistance (IMR) on myocardial perfusion imaging (MPI) diagnostic accuracy using specificity, sensitivity, positive and negative predictive values. | 4 weeks after inclusion. |
| Diagnostic accuracy of quantitative CMRI analysis. | Diagnostic accuracy of quantitative CMRI analysis compared to ICA with FFR-CFR. | 4 weeks after inclusion. |
| Absolute measurements of coronary flow with quantitative CMRI analysis. | Correlation analysis between flow measurements estimated by quantitative CMRI vs. Rb PET. | 4 weeks after inclusion. |
| Diagnostic accuracy of CADScor vs. Diamond-Foster Score. | AUC-ROCs for CAD-score and Diamond-Forrester score in detection of CAD with CCTA and ICA-QCA as reference in total population. | 4 weeks after inclusion. |
| Diagnostic accuracy of CADScor vs. Diamond-Forrester Score. | Sensitivity, specificity, negative and positive predictive value of CAD-score and Diamond-Forrester score with CCTA and ICA-QCA as reference standard. For the CADScor®System specifically, the following criteria are applicable:
| 4 weeks after inclusion. |
| CADScor. | AUC-ROCs, sensitivity, specificity, negative and positive predictive value of CAD-score with ICA-FFR as reference standard. | 4 weeks after inclusion. |
| QFR FFR mismatch. | A subgroup analysis is performed for patients with mismatch between QFR and FFR using CFR and IMR as reference standard. | 4 weeks after inclusion. |
| Diagnostic accuracy of CT-FFR. | To evaluate the diagnostic accuracy of CT-FFR using ICA-FFR as reference standard. | 4 weeks after inclusion. |
| Effect of revascularisation on symptoms of angina pectoris. | Evaluation of coronary revascularissation to reduce symptoms of angina pectoris 3 and 12 mdr. after ICA. | 3+12 months after ICA |
| Prognostic value of clinical, biomarker, and genetic information. | To validate the 3, 5 and 10 yr. prognostic value of a pre-test probability score including clinical, biomarker and genitic information in patients with symptoms suggestive of CAD referred for coronary CTA. | 3+5+10 years after inclusion. |
| Prognostic value of heart sound analysis and CAD-score. | To investigate the 3, 5 and 10 yr. prognostic value of pre-specified heart sound analysis and CAD-score in patients with symptoms suggestive of CAD referred for coronary CTA. | 3+5+10 years after inclusion. |
| Prognostic value of coronary CTA, RbPET, 3T CMR, CT-FFR and QFR | To investigate the 3, 5 and 10 yr. prognostic value of the study's imaging techniques in patients with symptoms suggestive of CAD referred for coronary CTA. | 3+5+10 years after inclusion. |
| Herning |
| Central Jutland |
| 7400 |
| Denmark |
| Regional Hospital of Silkeborg | Silkeborg | Central Jutland | 8600 | Denmark |
| Regional Hospital of Randers | Randers | 8900 | Denmark |
| Regional Hospital of Viborg | Viborg | 8800 | Denmark |
| 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. |
| 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. |
| 39736151 | Derived | Karim SR, Westra JS, Rasmussen LD, Eftekhari A, Sejr-Hansen M, Winther S, Bottcher M, Christiansen EH. Effect of Guiding Catheter Extubation During Physiological Assesment of Stenosis. Catheter Cardiovasc Interv. 2025 Mar;105(4):735-744. doi: 10.1002/ccd.31370. Epub 2024 Dec 30. |
| 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. |
| 38889213 | Derived | Rasmussen LD, Murphy T, Milidonis X, Eftekhari A, Karim SR, Westra J, Dahl JN, Isaksen C, Brix L, Ejlersen JA, Nyegaard M, Johansen JK, Sondergaard HM, Mortensen J, Gormsen LC, Christiansen EH, Chiribiri A, Petersen SE, Bottcher M, Winther S. Myocardial Blood Flow by Magnetic Resonance in Patients With Suspected Coronary Stenosis: Comparison to PET and Invasive Physiology. Circ Cardiovasc Imaging. 2024 Jun;17(6):e016635. doi: 10.1161/CIRCIMAGING.124.016635. Epub 2024 Jun 18. |
| 38227687 | Derived | Rasmussen LD, Gormsen LC, Ejlersen JA, Karim SR, Westra J, Knudsen LL, Kirk J, Sondergaard HM, Mortensen J, Knuuti J, Christiansen EH, Eftekhari A, Bottcher M, Winther S. Impact of Absolute Myocardial Blood Flow Quantification on the Diagnostic Performance of PET-Based Perfusion Scans Using 82Rubidium. Circ Cardiovasc Imaging. 2024 Jan;17(1):e016138. doi: 10.1161/CIRCIMAGING.123.016138. Epub 2024 Jan 16. |
| 36881421 | Derived | Rasmussen LD, Winther S, Eftekhari A, Karim SR, Westra J, Isaksen C, Brix L, Ejlersen JA, Murphy T, Milidonis X, Nyegaard M, Benovoy M, Johansen JK, Sondergaard HM, Hammid O, Mortensen J, Knudsen LL, Gormsen LC, Christiansen EH, Chiribiri A, Petersen SE, Bottcher M. Second-Line Myocardial Perfusion Imaging to Detect Obstructive Stenosis: Head-to-Head Comparison of CMR and PET. JACC Cardiovasc Imaging. 2023 May;16(5):642-655. doi: 10.1016/j.jcmg.2022.11.015. Epub 2023 Feb 8. |
| 36878672 | Derived | Rasmussen LD, Winther S, Karim SR, Westra J, Kirk Johansen J, Sondergaard HM, Hammid O, Sevestre E, Onuma Y, Nyegaard M, Ejlersen JA, Hoj Christiansen E, Eftekhari A, Holm NR, Schmidt SE, Bottcher M. Likelihood reclassification by an acoustic-based score in suspected coronary artery disease. Heart. 2023 Jul 27;109(16):1223-1230. doi: 10.1136/heartjnl-2023-322357. |
| 31323454 | Derived | 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. |
| D010146 |
| Pain |
| D009461 | Neurologic Manifestations |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D001161 | Arteriosclerosis |
| D001157 | Arterial Occlusive Diseases |
| D003327 | Coronary Disease |