Literature DB >> 15137334

Regional heterogeneity of myocardial perfusion in healthy human myocardium: assessment with magnetic resonance perfusion imaging.

Olaf M Muehling1, Michael Jerosch-Herold, Prasad Panse, Andrey Zenovich, Betsy V Wilson, Robert F Wilson, Norbert Wilke.   

Abstract

The knowledge of myocardial perfusion in healthy volunteers is fundamental for evaluation of patients with ischemic heart disease. The study was conducted to determine range, regional variability, and transmural gradient of myocardial perfusion in normal volunteers with Magnetic Resonance Perfusion Imaging (MRPI). Perfusion was assessed in 17 healthy volunteers (age: 20-47 yr, 11 males) at rest and adenosine-induced hyperemia using a 1.5 T MR scanner. Perfusion was quantified (mL/g/min) for the transmural myocardium and separately for the endo- and epimyocardium in the anterior, lateral, posterior, and septal left ventricular wall using the Fermi model for constrained deconvolution. Regional variabilities for resting, hyperemic perfusion, and perfusion reserve were 22 +/- 8%, 21 +/- 10%, and 35 +/- 18%. Mean resting, hyperemic perfusion, and perfusion reserve were 1.1 +/- 0.4 mL/g/min, 4.2 +/- 1.1 mL/g/min, and 4.1 +/- 1.4. Perfusion in the septum was higher at rest (1.3 +/- 0.3 mL/g/min vs. 1.0 +/- 0.3 mL/g/min, p < 0.05) and lower during hyperemia (3.6 +/- 0.8 mL/g/min vs. 4.5 +/- 1.1 mL/g/min, p < 0.03), resulting in a reduced perfusion reserve (PR) (3.2 +/- 0.9 vs. 4.5 +/- 1.4, p < 0.01) in the septum vs. the combined anterior, lateral, and posterior segments. Resting (0.9 +/- 0.3 mL/g/min vs. 1.4 +/- 0.5 mL/g/min, p < 0.01), but not hyperemic perfusion, was lower in the epi- vs. endomyocardium, resulting in a higher epimyocardial PR (4.8 +/- 1.8 vs. 3.5 +/- 1.4, p < 0.01) in all regions but the septum, where endo- and epimyocardial perfusion and perfusion reserve were not different. A considerable regional variability of myocardial perfusion was confirmed with MRPI. The exceptional anatomical position of the septum is reflected by the lack of a perfusion gradient, which was demonstrated in all other regions but the septum.

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Year:  2004        PMID: 15137334     DOI: 10.1081/jcmr-120030570

Source DB:  PubMed          Journal:  J Cardiovasc Magn Reson        ISSN: 1097-6647            Impact factor:   5.364


  20 in total

1.  Endocardial and epicardial myocardial perfusion determined by semi-quantitative and quantitative myocardial perfusion magnetic resonance.

Authors:  Abdulghani Larghat; John Biglands; Neil Maredia; John P Greenwood; Stephen G Ball; Michael Jerosch-Herold; Aleksandra Radjenovic; Sven Plein
Journal:  Int J Cardiovasc Imaging       Date:  2011-11-29       Impact factor: 2.357

2.  Influence of the cardiac cycle on time-intensity curves using multislice dynamic magnetic resonance perfusion.

Authors:  Alain Nchimi; Isabelle Mancini; Thomas K Y Broussaud
Journal:  Int J Cardiovasc Imaging       Date:  2014-06-14       Impact factor: 2.357

3.  A quantitative pixel-wise measurement of myocardial blood flow by contrast-enhanced first-pass CMR perfusion imaging: microsphere validation in dogs and feasibility study in humans.

Authors:  Li-Yueh Hsu; Daniel W Groves; Anthony H Aletras; Peter Kellman; Andrew E Arai
Journal:  JACC Cardiovasc Imaging       Date:  2012-02

4.  Normal range and regional heterogeneity of myocardial perfusion in healthy human myocardium: assessment on dynamic perfusion CT using 128-slice dual-source CT.

Authors:  Eun Young Kim; Wook-Jin Chung; Yon Mi Sung; Sung Su Byun; Jae Hyung Park; Jeong Ho Kim; Jeonggeun Moon
Journal:  Int J Cardiovasc Imaging       Date:  2014-05-03       Impact factor: 2.357

5.  Microsphere skimming in the porcine coronary arteries: Implications for flow quantification.

Authors:  Matthew Sinclair; Jack Lee; Andreas Schuster; Amedeo Chiribiri; Jeroen van den Wijngaard; Pepijn van Horssen; Maria Siebes; Jos A E Spaan; Eike Nagel; Nicolas P Smith
Journal:  Microvasc Res       Date:  2015-05-09       Impact factor: 3.514

6.  Assessment of coronary artery stenosis severity and location: quantitative analysis of transmural perfusion gradients by high-resolution MRI versus FFR.

Authors:  Amedeo Chiribiri; Gilion L T F Hautvast; Timothy Lockie; Andreas Schuster; Boris Bigalke; Luca Olivotti; Simon R Redwood; Marcel Breeuwer; Sven Plein; Eike Nagel
Journal:  JACC Cardiovasc Imaging       Date:  2013-04-10

7.  Quantification of myocardial perfusion using CMR with a radial data acquisition: comparison with a dual-bolus method.

Authors:  Tae Ho Kim; Nathan A Pack; Liyong Chen; Edward V R DiBella
Journal:  J Cardiovasc Magn Reson       Date:  2010-07-23       Impact factor: 5.364

Review 8.  Evaluation of the microcirculation: advances in cardiac magnetic resonance perfusion imaging.

Authors:  Amit R Patel; Frederick H Epstein; Christopher M Kramer
Journal:  J Nucl Cardiol       Date:  2008 Sep-Oct       Impact factor: 5.952

Review 9.  Quantitative myocardial perfusion imaging by cardiovascular magnetic resonance and positron emission tomography.

Authors:  K Bratis; I Mahmoud; A Chiribiri; E Nagel
Journal:  J Nucl Cardiol       Date:  2013-07-19       Impact factor: 5.952

Review 10.  Quantification in cardiac MRI: advances in image acquisition and processing.

Authors:  Anil K Attili; Andreas Schuster; Eike Nagel; Johan H C Reiber; Rob J van der Geest
Journal:  Int J Cardiovasc Imaging       Date:  2010-02       Impact factor: 2.357

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