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Dan-NICAD - Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease

Primary Purpose

Angina Pectoris, Arteriosclerosis, Coronary Artery Disease

Status
Completed
Phase
Not Applicable
Locations
Denmark
Study Type
Interventional
Intervention
SPECT
Cardiac MRI
Sponsored by
University of Aarhus
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Angina Pectoris

Eligibility Criteria

40 Years - undefined (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Indication for Cardiac CT
  • Signed

Exclusion Criteria:

  • Age under 40
  • Pregnant, potentially pregnant or breast feeding
  • Contraindication for adenosine (severe asthma, clinical aortic stenosis)
  • Reduced kidney function (eGFR < 40 ml/min)
  • Contraindication for MRI
  • Previous history of allergy to contrast
  • Previous revascularisation procedure

Sites / Locations

  • Aarhus University Hospital
  • Regional Hospital of Herning
  • Regional Hospital of Silkeborg

Arms of the Study

Arm 1

Arm 2

Arm Type

Active Comparator

Active Comparator

Arm Label

Cardiac MRi

SPECT

Arm Description

A minimum of 150 patients will be randomized to Cardiac MRI followed by conventional angiography CCA-FFR, after detection of obstructive anatomic coronary artery stenoses on coronary Computed Tomography Angiography (cCTA)

A minimum 150 patients will be randomized to SPECT followed by conventional angiography CCA-FFR, after detection of obstructive anatomic coronary artery stenoses on coronary Computed Tomography Angiography (cCTA).

Outcomes

Primary Outcome Measures

Diagnostic accuracy of the CADscore system compared to CCTA and CCA-QCA.
Diagnostic precision will be evaluated as the AUC-ROC. The CADscore will be dichotomized at cut off values of 20,25 and 30 and performance reported with sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy. The CADscore system operates with 3 intervals of risk stratification: <20, 20-30, >30 (low, intermedia and high risk of cardio vascular disease, respectively) Obstructive CAD is defined as ≥ 50% diameter stenosis as determined by quantitative analysis of CCA (QCA). Non-Obstructive CAD is defined as no detection of obstructive anatomic coronary artery stenosis by CCTA or stenosis detected by CCTA combined with a evaluation by CCA-QCA demonstrating a luminal stenosis diameter < 50 %.

Secondary Outcome Measures

Safety of CADScore Safety of CADScore
Registration of adverse events related to the use of CADScore
Diagnostic accuracy of the CADScore system compared to CCA-FFR.
Diagnostic precision will be evaluated as the AUC-ROC and performance reported with sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy. CAD is defined as CCA-FFR under 0.80.

Full Information

First Posted
September 26, 2014
Last Updated
May 12, 2016
Sponsor
University of Aarhus
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1. Study Identification

Unique Protocol Identification Number
NCT02264717
Brief Title
Dan-NICAD - Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease
Official Title
Dan-NICAD - Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease
Study Type
Interventional

2. Study Status

Record Verification Date
May 2015
Overall Recruitment Status
Completed
Study Start Date
September 2014 (undefined)
Primary Completion Date
May 2016 (Actual)
Study Completion Date
May 2016 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
University of Aarhus

4. Oversight

Data Monitoring Committee
Yes

5. Study Description

Brief Summary
1. The primary purpose of this study is to determine the diagnostic accuracy of the CADscore System, a new danish technology that records sounds from turbulence of bloodflow in the coronary vessels. And secondary: To determine the accuracy of cardiac magnetic resonance imaging (MRI) and single-photon emission computed tomography (SPECT), as secondary tests after detection of obstructive anatomic coronary artery stenosis by coronary computed tomographic angiography (CCTA). To examine the patient population for bio-genetic markers related to development of arteriosclerosis. To evaluate virtual fractional flow reserve (vFFR) computed from coronary angiograms.
Detailed Description
Primary study CCTA is currently the first choice to rule out coronary artery disease (CAD) in patients with typical or atypical chest pain. 4500 patients are annually examined with CCTA, in the Central Jutland Region of Denmark, and approximately 80% are discharged after ruling out CAD. CCTA is a diagnostic scan that exposes the patients to radiation, therefore a better risk stratification prior to the test is desirable. The CADscore is a newly developed danish technology that has been tested so far in 1000 patients. An area under the curve of the receiver operating characteristic (AUC of ROC) of 75-80 has been determined compared to conventional coronary angiography using quantitative coronary angiography (CCA-QCA). This indicates that the CADscore could potentially be used to diagnose CAD as a supplement or risk stratification prior to CCTA. We aim to evaluate the CADscore in a large clinical trial including 2000 patients that by clinical indication undergo cCTA. After cCTA approximately 20 % (400 patients) will need evaluation by CCA with FFR. CADscore results will be compared to CCTA and CCA-QCA. Secondary, the CADscore will be compared to the results of CCA-FFR and perfusion scans, Cardiac-MRI and SPECT. Substudies Perfusion scans CCTA demonstrates good diagnostic performance for detection and exclusion of anatomic coronary artery stenosis, but several studies have previously shown that CCTA has a low positive predictive value for identification of hemodynamically significant CAD. This emphasizes the need for additional tests to evaluate the severity (or exclusion) of hemodynamically significant CAD. Measurement of FFR during CCA represents the "gold standard" for assessment of the hemodynamic significance of coronary artery stenosis. The disadvantage of CCA with FFR is that it is an invasive procedure. After cCTA approximately 20 % (400 patients) will need further testing and that group of patients will be randomized to either Cardiac MRI or SPECT followed by CCA with FFR. The substudy aims to evaluate the diagnostic accuracy of perfusion imaging (Cardiac MRI and SPECT) compared with CCA with FFR. Virtual FFR The accuracy and precision of virtual-FFR compared with conventional FFR will be determined. Virtual FFR is computed from the coronary angiogram using computational fluid dynamics. Subjects with diameter stenosis in the range of 30 to 90% by visual estimate in one or more vessel segments with reference diameter ≥2.0 mm will be included in the analysis. FFR is the reference standard to determine the presence or absence of hemodynamically significant obstruction with a cut-off value of 0.80. Computation of vFFR with and without hyperaemia will be compared.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Angina Pectoris, Arteriosclerosis, Coronary Artery Disease, Myocardial Ischemia

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Masking
Investigator
Allocation
Randomized
Enrollment
1676 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Cardiac MRi
Arm Type
Active Comparator
Arm Description
A minimum of 150 patients will be randomized to Cardiac MRI followed by conventional angiography CCA-FFR, after detection of obstructive anatomic coronary artery stenoses on coronary Computed Tomography Angiography (cCTA)
Arm Title
SPECT
Arm Type
Active Comparator
Arm Description
A minimum 150 patients will be randomized to SPECT followed by conventional angiography CCA-FFR, after detection of obstructive anatomic coronary artery stenoses on coronary Computed Tomography Angiography (cCTA).
Intervention Type
Procedure
Intervention Name(s)
SPECT
Intervention Description
Patients are randomized to either SPECT or Cardiac MRI
Intervention Type
Procedure
Intervention Name(s)
Cardiac MRI
Intervention Description
Patients are randomized to either SPECT or Cardiac MR
Primary Outcome Measure Information:
Title
Diagnostic accuracy of the CADscore system compared to CCTA and CCA-QCA.
Description
Diagnostic precision will be evaluated as the AUC-ROC. The CADscore will be dichotomized at cut off values of 20,25 and 30 and performance reported with sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy. The CADscore system operates with 3 intervals of risk stratification: <20, 20-30, >30 (low, intermedia and high risk of cardio vascular disease, respectively) Obstructive CAD is defined as ≥ 50% diameter stenosis as determined by quantitative analysis of CCA (QCA). Non-Obstructive CAD is defined as no detection of obstructive anatomic coronary artery stenosis by CCTA or stenosis detected by CCTA combined with a evaluation by CCA-QCA demonstrating a luminal stenosis diameter < 50 %.
Time Frame
Within one week before or after CCTA
Secondary Outcome Measure Information:
Title
Safety of CADScore Safety of CADScore
Description
Registration of adverse events related to the use of CADScore
Time Frame
One week after the use of CADScore
Title
Diagnostic accuracy of the CADScore system compared to CCA-FFR.
Description
Diagnostic precision will be evaluated as the AUC-ROC and performance reported with sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy. CAD is defined as CCA-FFR under 0.80.
Time Frame
Within four weeks after CADScore
Other Pre-specified Outcome Measures:
Title
Feasibility of virtual FFR
Description
Feasibility of vFFR compared to conventional FFR assessed as fraction of conventional FFR measurements where a vFFR values is computed by the core lab.
Time Frame
one day
Title
Diagnostic accuracy of virtual FFR
Description
Diagnostic accuracy of vFFR as the area under the receiver operating characteristic curve (AUC by ROC). The performance of vFFR in predicting functionally significant stenosis is assessed with and without hyperaemia using sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy, together with their 95% confidence intervals.
Time Frame
one day
Title
The diagnostic accuracy of perfusion imaging (Cardiac MRI and SPECT)
Description
Diagnostic performance will be evaluated as the AUC-ROC, sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy. CAD is defined as a CCA-FFR below 0,80. A Chi2 test will be used to compare SPECT and Cardiac-MRI.
Time Frame
Within 4 weeks after the CCTA

10. Eligibility

Sex
All
Minimum Age & Unit of Time
40 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Indication for Cardiac CT Signed Exclusion Criteria: Age under 40 Pregnant, potentially pregnant or breast feeding Contraindication for adenosine (severe asthma, clinical aortic stenosis) Reduced kidney function (eGFR < 40 ml/min) Contraindication for MRI Previous history of allergy to contrast Previous revascularisation procedure
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Morten Bøttcher, MD, Ph.D
Organizational Affiliation
Regional Hospital of Herning, department of cardiology
Official's Role
Principal Investigator
Facility Information:
Facility Name
Aarhus University Hospital
City
Aarhus
State/Province
Region Midtjylland
ZIP/Postal Code
8200
Country
Denmark
Facility Name
Regional Hospital of Herning
City
Herning
State/Province
Region Midtjylland
ZIP/Postal Code
7400
Country
Denmark
Facility Name
Regional Hospital of Silkeborg
City
Silkeborg
State/Province
Region Midtjylland
ZIP/Postal Code
8600
Country
Denmark

12. IPD Sharing Statement

Plan to Share IPD
No
Citations:
PubMed Identifier
34032468
Citation
Christiansen MK, Winther S, Nissen L, Vilhjalmsson BJ, Frost L, Johansen JK, Moller PL, Schmidt SE, Westra J, Holm NR, Jensen HK, Christiansen EH, Guethbjartsson DF, Holm H, Stefansson K, Botker HE, Bottcher M, Nyegaard M. Polygenic Risk Score-Enhanced Risk Stratification of Coronary Artery Disease in Patients With Stable Chest Pain. Circ Genom Precis Med. 2021 Jun;14(3):e003298. doi: 10.1161/CIRCGEN.120.003298. Epub 2021 May 25.
Results Reference
derived
PubMed Identifier
32662758
Citation
Therkildsen J, Nissen L, Jorgensen HS, Thygesen J, Ivarsen P, Frost L, Isaksen C, Langdahl BL, Hauge EM, Boettcher M, Winther S. Thoracic Bone Mineral Density Derived from Cardiac CT Is Associated with Greater Fracture Rate. Radiology. 2020 Sep;296(3):499-508. doi: 10.1148/radiol.2020192706. Epub 2020 Jul 14.
Results Reference
derived
PubMed Identifier
31983321
Citation
Christiansen MK, Nissen L, Winther S, Moller PL, Frost L, Johansen JK, Jensen HK, Guethbjartsson D, Holm H, Stefansson K, Botker HE, Bottcher M, Nyegaard M. Genetic Risk of Coronary Artery Disease, Features of Atherosclerosis, and Coronary Plaque Burden. J Am Heart Assoc. 2020 Feb 4;9(3):e014795. doi: 10.1161/JAHA.119.014795. Epub 2020 Jan 25.
Results Reference
derived
PubMed Identifier
31083725
Citation
Winther S, Nissen L, Westra J, Schmidt SE, Bouteldja N, Knudsen LL, Madsen LH, Frost L, Urbonaviciene G, Holm NR, Christiansen EH, Botker HE, Bottcher M. Pre-test probability prediction in patients with a low to intermediate probability of coronary artery disease: a prospective study with a fractional flow reserve endpoint. Eur Heart J Cardiovasc Imaging. 2019 Nov 1;20(11):1208-1218. doi: 10.1093/ehjci/jez058.
Results Reference
derived
PubMed Identifier
29555835
Citation
Westra J, Tu S, Winther S, Nissen L, Vestergaard MB, Andersen BK, Holck EN, Fox Maule C, Johansen JK, Andreasen LN, Simonsen JK, Zhang Y, Kristensen SD, Maeng M, Kaltoft A, Terkelsen CJ, Krusell LR, Jakobsen L, Reiber JHC, Lassen JF, Bottcher M, Botker HE, Christiansen EH, Holm NR. Evaluation of Coronary Artery Stenosis by Quantitative Flow Ratio During Invasive Coronary Angiography: The WIFI II Study (Wire-Free Functional Imaging II). Circ Cardiovasc Imaging. 2018 Mar;11(3):e007107. doi: 10.1161/CIRCIMAGING.117.007107.
Results Reference
derived
PubMed Identifier
29122932
Citation
Winther S, Nissen L, Schmidt SE, Westra JS, Rasmussen LD, Knudsen LL, Madsen LH, Kirk Johansen J, Larsen BS, Struijk JJ, Frost L, Holm NR, Christiansen EH, Botker HE, Bottcher M. Diagnostic performance of an acoustic-based system for coronary artery disease risk stratification. Heart. 2018 Jun;104(11):928-935. doi: 10.1136/heartjnl-2017-311944. Epub 2017 Nov 9.
Results Reference
derived
PubMed Identifier
27225018
Citation
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.
Results Reference
derived

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Dan-NICAD - Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease

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