Diagnostic performance of image navigated coronary CMR angiography in patients with coronary artery disease

Markus Henningsson1, Joy Shome2, Konstantinos Bratis2

  • 1Division of Biomedical Engineering and Imaging Sciences, King's College London, London, UK. markus.henningsson@kcl.ac.uk.

Insights

Image-navigated coronary MR angiography (iNAV CMRA) shows excellent diagnostic performance for coronary artery disease (CAD). This faster, more reliable CMRA technique can improve patient assessment protocols.

Area of Science:

  • Cardiovascular Imaging
  • Medical Diagnostics
  • Radiology

Background:

  • Coronary MR angiography (CMRA) use is limited by long scan times and motion artifacts.
  • Respiratory motion significantly impacts image quality and diagnostic accuracy in CMRA.
  • Current CMRA techniques face challenges in providing reliable assessments for patients with coronary artery disease (CAD).

Purpose of the Study:

  • To evaluate the diagnostic performance of CMRA with image-based respiratory navigation (iNAV CMRA).
  • To compare iNAV CMRA against the gold standard invasive x-ray coronary angiography in patients with CAD.
  • To assess the clinical utility of iNAV CMRA in CAD assessment.

Main Methods:

  • Consecutive patients with suspected CAD underwent iNAV CMRA on a 1.5 T scanner.
  • Coronary vessel sharpness and visual scores were assessed for image quality.
  • Diagnostic readings compared iNAV CMRA findings (>50% lumen narrowing) to invasive x-ray results.

Main Results:

  • iNAV CMRA achieved diagnostic image quality in 91-98% of coronary segments.
  • Scan time was significantly reduced to 7 minutes 21 seconds.
  • High sensitivity (86%) and specificity (83%) per patient were observed, with excellent per-vessel and per-segment accuracy.

Conclusions:

  • iNAV CMRA demonstrates very good diagnostic performance compared to invasive angiography.
  • The short and predictable scan times of iNAV CMRA enhance its clinical value.
  • iNAV CMRA is a valuable tool for comprehensive CAD assessment protocols.
Abstract

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