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In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
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Quantification of myocardial perfusion using dynamic 64-detector computed tomography.

Richard T George1, Michael Jerosch-Herold, Caterina Silva

  • 1Department of Medicine, Division of Cardiology, Image Guided Cardiotherapy Laboratory, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.

Investigative Radiology
|November 17, 2007
PubMed
Summary

Dynamic 64-slice multidetector computed tomography (d-MDCT) accurately measures myocardial blood flow (MBF) using upslope and deconvolution methods. These d-MDCT MBF measurements show strong correlation with gold-standard microsphere techniques.

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Area of Science:

  • Cardiovascular imaging
  • Radiology
  • Medical physics

Background:

  • Assessing myocardial blood flow (MBF) is crucial for diagnosing and managing coronary artery disease.
  • Traditional methods for MBF assessment can be invasive or lack the spatial and temporal resolution needed for accurate quantification.

Purpose of the Study:

  • To evaluate the accuracy of dynamic 64-slice multidetector computed tomography (d-MDCT) in measuring myocardial blood flow (MBF).
  • To compare semiquantitative and quantitative analysis methods of first-pass d-MDCT with established microsphere techniques for MBF assessment.

Main Methods:

  • Adenosine stress d-MDCT imaging was performed on six dogs with induced left-anterior descending artery stenosis.
  • Time-attenuation curves were generated from regions of interest in the LAD and remote territories.
  • Myocardial perfusion was analyzed using model-based deconvolution and two upslope methods, then compared to microsphere MBF measurements.

Main Results:

  • Upslope-to-LV-upslope and upslope-to-LV-max ratios strongly correlated with MBF (R2 = 0.92 and R2 = 0.87, respectively).
  • Model-based deconvolution analysis modestly overestimated MBF compared to microspheres (3.0 ± 2.5 vs. 2.6 ± 2.7 mL/g/min).
  • Overall, MDCT-derived MBF showed strong correlation with microspheres (R = 0.91, P < 0.0001).

Conclusions:

  • d-MDCT MBF measurements using upslope and model-based deconvolution methods demonstrate good correlation with microsphere MBF.
  • These d-MDCT techniques show potential for clinical application, especially with advancements in MDCT scanner technology.
  • Integration with coronary angiography and next-generation MDCT scanners could enhance clinical utility.