Dynamic myocardial CT perfusion imaging-state of the art

Olga Sliwicka1,2, Ioannis Sechopoulos3,4, Andrea Baggiano5,6

  • 1Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands. olga.sliwicka@radboudumc.nl.

European Radiology
|March 30, 2023
PubMed

Insights

Dynamic computed tomography perfusion (CTP) imaging with coronary CT angiography (CTA) offers comprehensive anatomical and functional insights for suspected coronary artery disease. This non-invasive approach accurately detects ischemia and guides treatment, potentially reducing the need for invasive procedures.

Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Diagnostic Cardiology

Background:

  • Coronary artery disease (CAD) diagnosis often requires invasive procedures.
  • There is a need for non-invasive methods providing both anatomical and functional information.

Purpose of the Study:

  • To provide an overview of dynamic myocardial computed tomography perfusion (CTP) imaging combined with coronary CT angiography (CTA).
  • To highlight its role in diagnosing CAD, assessing myocardial blood flow, and guiding patient management.

Main Methods:

  • Dynamic CTP imaging combined with coronary CTA.
  • Evaluation of diagnostic accuracy, prognostic value, and technical aspects including protocols, acquisition, and reconstruction.

Main Results:

  • Dynamic CTP-CTA provides comprehensive anatomical and quantitative functional information on myocardial blood flow and stenosis.
  • CTP demonstrates good diagnostic accuracy for myocardial ischemia, comparable to stress MRI and PET.
  • Dynamic CTP-CTA serves as a gatekeeper, reducing unnecessary invasive coronary angiography and guiding treatment.

Conclusions:

  • Dynamic CTP-CTA is a powerful, non-invasive tool for diagnosing coronary artery disease.
  • It offers accurate assessment of myocardial ischemia and has prognostic value for cardiovascular events.
  • This technique can optimize patient workup and treatment strategies for obstructive CAD.

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