Danish study of Non-Invasive testing in Coronary Artery Disease 2 (Dan-NICAD 2): Study design for a controlled study

Laust Dupont Rasmussen1, Simon Winther2, Jelmer Westra2

  • 1Department of Cardiology, Hospital Unit West, Gl. Landevej 61, Herning, Denmark.

Insights

The Dan-NICAD 2 study evaluates new methods to improve the diagnosis of coronary artery disease (CAD). It aims to optimize risk stratification before coronary computed tomography angiography (CTA) and compare advanced imaging techniques for more accurate CAD detection.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Diagnostic Algorithms

Background:

  • Coronary computed tomography angiography (CTA) is standard for low-to-intermediate risk coronary artery disease (CAD), but its low positive predictive value leads to unnecessary invasive procedures.
  • Optimizing diagnostic algorithms can reduce invasive coronary angiographies (ICAs) that do not result in revascularization, lowering costs and risks.

Purpose of the Study:

  • To assess the CADScor®System's diagnostic precision for risk stratification before CTA in patients with suspected CAD.
  • To compare the accuracy of 3T cardiac magnetic resonance imaging (3T CMRI), 82rubidium positron emission tomography (82Rb-PET), and CT-derived fractional flow reserve (FFR_CT) against invasive FFR (ICA-FFR).
  • To evaluate quantitative flow ratio (QFR) against ICA-FFR using 82Rb-PET as a reference standard.

Main Methods:

  • Prospective, multicenter, cross-sectional Dan-NICAD 2 study enrolling ~2,000 patients with low-to-intermediate pre-test probability of CAD.
  • Utilizes coronary CTA, CADScor®System, 3T CMRI, 82Rb-PET, FFR_CT, ICA, and FFR measurements.
  • Obstructive CAD defined as FFR ≤0.80 or >90% stenosis; diagnostic performance assessed via sensitivity, specificity, predictive values, and discrimination.

Main Results:

  • Study results are pending completion of patient enrollment (expected June 2020) and 10-year follow-up.
  • The study hypothesizes that CADScor®System improves risk stratification compared to clinical scores alone.
  • Comparative diagnostic accuracy of advanced imaging modalities (3T CMRI, 82Rb-PET, FFR_CT, QFR) against ICA-FFR will be determined.

Conclusions:

  • The Dan-NICAD 2 study is expected to refine diagnostic strategies for suspected CAD.
  • Findings will inform risk stratification prior to CTA and guide post-CTA diagnostic pathways.
  • The study will assess the utility of QFR as a non-invasive alternative to ICA-FFR.
Abstract

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