Quantification of myocardial blood flow with cardiovascular magnetic resonance throughout the cardiac cycle

被引:13
|
作者
Motwani, Manish [1 ]
Kidambi, Ananth [1 ]
Uddin, Akhlaque [1 ]
Sourbron, Steven [2 ]
Greenwood, John P. [1 ]
Plein, Sven [1 ]
机构
[1] Univ Leeds, Leeds Inst Cardiovasc & Metab Med, Div Biomed Imaging, Leeds, W Yorkshire, England
[2] Univ Leeds, Div Med Phys, Leeds, W Yorkshire, England
关键词
Cardiovascular magnetic resonance imaging; Myocardial perfusion imaging; Myocardial blood flow; PERFUSION RESERVE; CORONARY-ARTERY; HUMANS; HEART; MRI; DECONVOLUTION; MODEL;
D O I
10.1186/s12968-015-0107-3
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Myocardial blood flow (MBF) varies throughout the cardiac cycle in response to phasic changes in myocardial tension. The aim of this study was to determine if quantitative myocardial perfusion imaging with cardiovascular magnetic resonance (CMR) can accurately track physiological variations in MBF throughout the cardiac cycle. Methods: 30 healthy volunteers underwent a single stress/rest perfusion CMR study with data acquisition at 5 different time points in the cardiac cycle (early-systole, mid-systole, end-systole, early-diastole and end-diastole). MBF was estimated on a per-subject basis by Fermi-constrained deconvolution. Interval variations in MBF between successive time points were expressed as percentage change. Maximal cyclic variation (MCV) was calculated as the percentage difference between maximum and minimum MBF values in a cardiac cycle. Results: At stress, there was significant variation in MBF across the cardiac cycle with successive reductions in MBF from end-diastole to early-, mid- and end-systole, and an increase from early- to end-diastole (end-diastole: 4.50 +/- 0.91 vs. early-systole: 4.03 +/- 0.76 vs. mid-systole: 3.68 +/- 0.67 vs. end-systole 3.31 +/- 0.70 vs. early-diastole: 4.11 +/- 0.83 ml/g/min; all p values <0.0001). In all cases, the maximum and minimum stress MBF values occurred at end-diastole and end-systole respectively (mean MCV = 26 +/- 5%). There was a strong negative correlation between MCV and peak heart rate at stress (r = -0.88, p < 0.001). The largest interval variation in stress MBF occurred between end-systole and early-diastole (24 +/- 9% increase). At rest, there was no significant cyclic variation in MBF (end-diastole: 1.24 +/- 0.19 vs. early-systole: 1.28 +/- 0.17 vs. mid-systole: 1.28 +/- 0.17 vs. end-systole: 1.27 +/- 0.19 vs. early-diastole: 1.29 +/- 0.19 ml/g/min; p = 0.71). Conclusion: Quantitative perfusion CMR can be used to non-invasively assess cyclic variations in MBF throughout the cardiac cycle. In this study, estimates of stress MBF followed the expected physiological trend, peaking at end-diastole and falling steadily through to end-systole. This technique may be useful in future pathophysiological studies of coronary blood flow and microvascular function.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Quantification of myocardial blood flow with cardiovascular magnetic resonance throughout the cardiac cycle
    Manish Motwani
    Ananth Kidambi
    Akhlaque Uddin
    Steven Sourbron
    John P Greenwood
    Sven Plein
    Journal of Cardiovascular Magnetic Resonance, 17
  • [2] Stochastic modeling for magnetic resonance quantification of myocardial blood flow
    Seethamraju, RT
    Muehling, O
    Panse, PM
    Wilke, NM
    Jerosch-Herold, M
    MATHEMATICAL MODELING, ESTIMATION, AND IMAGING, 2000, 4121 : 140 - 147
  • [3] Magnetic Resonance Elastography as a Method for the Assessment of Effective Myocardial Stiffness Throughout the Cardiac Cycle
    Kolipaka, Arunark
    Araoz, Philip A.
    McGee, Kiaran P.
    Manduca, Armando
    Ehman, Richard L.
    MAGNETIC RESONANCE IN MEDICINE, 2010, 64 (03) : 862 - 870
  • [4] Quantification of myocardial perfusion by cardiovascular magnetic resonance
    Jerosch-Herold, Michael
    JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 2010, 12
  • [5] Quantification of myocardial perfusion by cardiovascular magnetic resonance
    Michael Jerosch-Herold
    Journal of Cardiovascular Magnetic Resonance, 12
  • [6] Quantification of Absolute Myocardial Blood Flow by Magnetic Resonance Perfusion Imaging
    Lee, Daniel C.
    Johnson, Nils P.
    JACC-CARDIOVASCULAR IMAGING, 2009, 2 (06) : 761 - 770
  • [7] Fully automated, inline quantification of myocardial blood flow with cardiovascular magnetic resonance: repeatability of measurements in healthy subjects
    Louise A. E. Brown
    Sebastian C. Onciul
    David A. Broadbent
    Kerryanne Johnson
    Graham J. Fent
    James R. J. Foley
    Pankaj Garg
    Pei G. Chew
    Kristopher Knott
    Erica Dall’Armellina
    Peter P. Swoboda
    Hui Xue
    John P. Greenwood
    James C. Moon
    Peter Kellman
    Sven Plein
    Journal of Cardiovascular Magnetic Resonance, 20
  • [8] Fully automated, inline quantification of myocardial blood flow with cardiovascular magnetic resonance: repeatability of measurements in healthy subjects
    Brown, Louise A. E.
    Onciul, Sebastian C.
    Broadbent, David A.
    Johnson, Kerryanne
    Fent, Graham J.
    Foley, James R. J.
    Garg, Pankaj
    Chew, Pei G.
    Knott, Kristopher
    Dall'Armellina, Erica
    Swoboda, Peter P.
    Xue, Hui
    Greenwood, John P.
    Moon, James C.
    Kellman, Peter
    Plein, Sven
    JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, 2018, 20
  • [9] Quantification of blood flow in great vessels from cardiac magnetic resonance imaging
    Ledesma-Carbayo, MJ
    Montejo, C
    Malpica, N
    Jiménez-Borreguero, LJ
    Santos, A
    ISPA 2005: Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005, : 133 - 135
  • [10] Fully Automated Quantification of Left and Right Ventricular Volumes Throughout the Cardiac Cycle from Magnetic Resonance Imaging
    Turco, Dario
    Corsi, Cristiana
    Lamberti, Claudio
    2011 COMPUTING IN CARDIOLOGY, 2011, 38 : 377 - 380