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Myocardial blood flow at rest and stress measured with dynamic contrast-enhanced MRI: Comparison of a distributed parameter model with a fermi function model

Authors

  • David A. Broadbent,

    1. Division of Medical Physics, Leeds Institute of Genetics Health and Therapeutics, Faculty of Medicine and Health, University of Leeds, Leeds, UK
    2. Department of Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK
    3. Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
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  • John D. Biglands,

    1. Division of Medical Physics, Leeds Institute of Genetics Health and Therapeutics, Faculty of Medicine and Health, University of Leeds, Leeds, UK
    2. Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
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  • Abdulghani Larghat,

    1. Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
    2. Division of Cardiovascular Medicine, Leeds Institute of Genetics Health and Therapeutics, Faculty of Medicine and Health, University of Leeds, Leeds, UK
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  • Steven P. Sourbron,

    1. Division of Medical Physics, Leeds Institute of Genetics Health and Therapeutics, Faculty of Medicine and Health, University of Leeds, Leeds, UK
    2. Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
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  • Aleksandra Radjenovic,

    1. Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
    2. NIHR Leeds Musculoskeletal Biomedical Research Unit, Leeds Institute of Molecular Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, UK
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  • John P. Greenwood,

    1. Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
    2. Division of Cardiovascular Medicine, Leeds Institute of Genetics Health and Therapeutics, Faculty of Medicine and Health, University of Leeds, Leeds, UK
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  • Sven Plein,

    1. Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
    2. Division of Cardiovascular Medicine, Leeds Institute of Genetics Health and Therapeutics, Faculty of Medicine and Health, University of Leeds, Leeds, UK
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  • David L. Buckley

    Corresponding author
    1. Division of Medical Physics, Leeds Institute of Genetics Health and Therapeutics, Faculty of Medicine and Health, University of Leeds, Leeds, UK
    2. Multidisciplinary Cardiovascular Research Centre, University of Leeds, Leeds, UK
    • Correspondence to: David L. Buckley, PhD, Division of Medical Physics, University of Leeds, Level 8, Worsley Building, Clarendon Way, Leeds LS2 9JT, United Kingdom. E-mail: d.l.buckley@leeds.ac.uk

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Abstract

Purpose

To assess the feasibility of simultaneously measuring blood flow (Fb), Gd-DTPA extraction fraction (E), and distribution volume (vd) in healthy myocardium at rest and under adenosine stress using dynamic contrast-enhanced MRI.

Methods

Sixteen volunteers were examined at 1.5 T and 11 returned for a repeat study. The data were analyzed using a distributed parameter (DP) 2-region model to arrive at estimates of Fb, E, blood volume, and interstitial volume. For comparison, estimates of Fb were also obtained using a Fermi function model.

Results

DP model fits were successful in 49 of the 54 data sets. Estimates obtained using DP and Fermi models did not differ for either rest Fb or myocardial perfusion reserve though DP estimates of stress Fb were lower than Fermi estimates. The repeatability of the DP parameters Fb, E, and vd was better than or equal to the repeatability of Fermi-Fb. E at rest and under stress was estimated to be 66% and 57%, respectively.

Conclusion

The results suggest that characteristics of the microvasculature of healthy myocardium can be reliably determined using dynamic contrast-enhanced MRI at rest and under stress and that delivery of Gd-DTPA to the myocardium is not flow-limited. Magn Reson Med 70:1591–1597, 2013. © 2013 Wiley Periodicals, Inc.

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