Regional myocardial blood volume and flow: first-pass MR imaging with polylysine-Gd-DTPA

  • Wilke N
  • Kroll K
  • Merkle H
 et al. 
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The authors investigated the utility of an intravascular magnetic resonance (MR) contrast agent, poly-L-lysine-gadolinium diethylenetriaminepentaacetic acid (DTPA), for differentiating acutely ischemic from normally perfused myocardium with first-pass MR imaging. Hypoperfused regions, identified with microspheres, on the first-pass images displayed significantly decreased signal intensities compared with normally perfused myocardium (P < .0007). Estimates of regional myocardial blood content, obtained by measuring the ratio of areas under the signal intensity-versus-time curves in tissue regions and the left ventricular chamber, averaged 0.12 mL/g +/- 0.04 (n = 35), compared with a value of 0.11 mL/g +/- 0.05 measured with radiolabeled albumin in the same tissue regions. To obtain MR estimates of regional myocardial blood flow, in situ calibration curves were used to transform first-pass intensity-time curves into content-time curves for analysis with a multiple-pathway, axially distributed model. Flow estimates, obtained by automated parameter optimization, averaged 1.2 mL/min/g +/- 0.5 (n = 29), compared with 1.3 mL/min/g +/- 0.3 obtained with tracer microspheres in the same tissue specimens at the same time. The results represent a combination of T1-weighted first-pass imaging, intravascular relaxation agents, and a spatially distributed perfusion model to obtain absolute regional myocardial blood flow and volume

Author-supplied keywords

  • Animals
  • Blood Volume
  • Contrast Media
  • Coronary Circulation
  • Dogs
  • Gadolinium
  • Gadolinium DTPA
  • Heart
  • Left ventricular
  • Magnetic Resonance Imaging
  • Microspheres
  • Myocardial Ischemia
  • Myocardium
  • Organometallic Compounds
  • Pentetic Acid
  • Perfusion
  • Polylysine
  • Time
  • analogs & derivatives
  • analysis
  • article
  • blood
  • blood flow
  • diagnosis
  • diagnostic use
  • radionuclide imaging
  • university

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  • PMID: 7766986


  • N Wilke

  • K Kroll

  • H Merkle

  • Y Wang

  • Y Ishibashi

  • Y Xu

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