Myocardium: dynamic versus single-shot CT perfusion imaging

Armin M Huber1, Vivian Leber, Bettina M Gramer

  • 1Institute for Diagnostic and Interventional Radiology, Klinikum rechts der Isar der Technischen, Universität München, Ismaninger Str. 22, 81675 Munich, Germany; Clinic for Cardiology and Internal Intensive Care Medicine, Klinikum Bogenhausen, Munich, Germany.

Radiology
|June 22, 2013
PubMed

Insights

Dynamic CT perfusion imaging accurately detects coronary artery stenosis. Semiquantitative (upslope, peak enhancement) and quantitative (myocardial blood flow) parameters show high diagnostic accuracy for coronary artery stenosis.

Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Medical Diagnostics

Background:

  • Coronary artery stenosis detection is crucial for cardiovascular health.
  • Traditional methods like coronary angiography have limitations.
  • Dynamic CT perfusion imaging offers a non-invasive alternative for assessing myocardial blood flow.

Purpose of the Study:

  • To evaluate the diagnostic accuracy of dynamic CT perfusion imaging for detecting hemodynamically significant coronary artery stenosis.
  • To compare the accuracy of CT perfusion parameters with coronary angiography and fractional flow reserve (FFR).

Main Methods:

  • Thirty-two patients underwent dynamic CT perfusion imaging under adenosine stress.
  • Key parameters analyzed: time to peak, area under the curve, upslope, peak enhancement, and myocardial blood flow (MBF).
  • Results were compared to coronary angiography and FFR using ROC analysis.

Main Results:

  • Upslope (AUC 0.87), peak enhancement (AUC 0.83), and MBF (AUC 0.86) demonstrated high diagnostic accuracy.
  • MBF achieved 100% specificity in detecting stenosis.
  • Threshold values for optimal detection were established for each parameter.

Conclusions:

  • Dynamic CT perfusion imaging, particularly upslope, peak enhancement, and quantitative MBF, is highly accurate for diagnosing coronary artery stenosis.
  • These CT perfusion parameters offer a reliable, non-invasive method for assessing coronary artery disease severity.
Abstract

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