Comparison of the diagnostic performance of four quantitative myocardial perfusion estimation methods used in cardiac MR imaging: CE-MARC substudy

Radiology

Volumn 275, Issue 2, 2015, Pages 393-402

  Biglands, John D ^a,b   Magee, Derek R ^c   Sourbron, Steven P ^a   Plein, Sven ^a   Greenwood, John P ^a   Radjenovic, Aleksandra ^d  

^a UNIVERSITY OF LEEDS   (United Kingdom)

^b LEEDS TEACHING HOSPITALS NHS TRUST   (United Kingdom)

^c UNIVERSITY OF LEEDS   (United Kingdom)

^d UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ANGIOCARDIOGRAPHY; ARTICLE; CARDIOVASCULAR MAGNETIC RESONANCE; CARDIOVASCULAR PARAMETERS; CLINICAL ARTICLE; COMPARTMENT MODEL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; FERMI CONSTRAINED DECONVOLUTION; HEART MUSCLE BLOOD FLOW; HEART MUSCLE ISCHEMIA; HEART MUSCLE PERFUSION; HUMAN; INTERMETHOD COMPARISON; MALE; MODEL INDEPENDENT DECONVOLUTION; MYOCARDIAL PERFUSION RESERVE; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; STATISTICAL ANALYSIS; UPTAKE MODEL; CARDIAC IMAGING; COMPARATIVE STUDY; CORONARY DISEASE; EVALUATION STUDY; MIDDLE AGED; MYOCARDIAL PERFUSION IMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES;

ADULT; AGED; CARDIAC IMAGING TECHNIQUES; CORONARY DISEASE; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MYOCARDIAL PERFUSION IMAGING; RETROSPECTIVE STUDIES;

EID: 84929000581     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.14140433     Document Type: Article

References (32)

1. Jaarsma C, Leiner T, Bekkers SC, et al. Diagnostic performance of noninvasive myocardial perfusion imaging using singlephoton emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease: a meta-analysis. J Am Coll Cardiol 2012;59(19):1719-1728.
2. Christian TF, Rettmann DW, Aletras AH, et al. Absolute myocardial perfusion in canines measured by using dual-bolus first-pass MR imaging. Radiology 2004;232(3):677-684.
3. Kraitchman DL, Wilke N, Hexeberg E, et al. Myocardial perfusion and function in dogs with moderate coronary stenosis. Magn Reson Med 1996;35(5):771-780.
4. Ritter C, Brackertz A, Sandstede J, Beer M, Hahn D, Köstler H. Absolute quantification of myocardial perfusion under adenosine stress. Magn Reson Med 2006;56(4):844-849.
5. Fritz-Hansen T, Hove JD, Kofoed KF, Kelbaek H, Larsson HB. Quantification of MRI measured myocardial perfusion reserve in healthy humans: a comparison with positron emission tomography. J Magn Reson Imaging 2008;27(4):818-824.
6. Costa MA, Shoemaker S, Futamatsu H, et al. Quantitative magnetic resonance perfusion imaging detects anatomic and physiologic coronary artery disease as measured by coronary angiography and fractional flow reserve. J Am Coll Cardiol 2007;50(6):514-522.
7. Huber A, Sourbron S, Klauss V, et al. Magnetic resonance perfusion of the myocardium: semiquantitative and quantitative evaluation in comparison with coronary angiography and fractional flow reserve. Invest Radiol 2012;47(6):332-338.
8. Maredia N, Plein S, Younger JF, et al. Detection of triple vessel coronary artery disease by visual and quantitative first pass CMR myocardial perfusion imaging in the CE-MARC study [abstr]. J Cardiovasc Magn Reson 2011;13(Suppl 1):O29.
9. Patel AR, Antkowiak PF, Nandalur KR, et al. Assessment of advanced coronary artery disease: advantages of quantitative cardiac magnetic resonance perfusion analysis. J Am Coll Cardiol 2010;56(7):561-569.
10. Hsu L-Y, Rhoads KL, Holly JE, Kellman P, Aletras AH, Arai AE. Quantitative myocardial perfusion analysis with a dual-bolus contrast-enhanced first-pass MRI technique in humans. J Magn Reson Imaging 2006;23(3):315-322.
11. Zarinabad N, Chiribiri A, Hautvast GLTF, et al. Voxel-wise quantification of myocardial perfusion by cardiac magnetic resonance. Feasibility and methods comparison. Magn Reson Med 2012;68(6):1994-2004.
12. Pack NA, DiBella EV. Comparison of myocardial perfusion estimates from dynamic contrast-enhanced magnetic resonance imaging with four quantitative analysis methods. Magn Reson Med 2010;64(1):125-137.
13. Jerosch-Herold M, Wilke N, Stillman AE. Magnetic resonance quantification of the myocardial perfusion reserve with a Fermi function model for constrained deconvolution. Med Phys 1998;25(1):73-84.
14. Jerosch-Herold M, Swingen C, Seethamraju RT. Myocardial blood flow quantification with MRI by model-independent deconvolution. Med Phys 2002;29(5):886-897.
15. Pack NA, DiBella EV, Rust TC, et al. Estimating myocardial perfusion from dynamic contrast-enhanced CMR with a model-independent deconvolution method. J Cardiovasc Magn Reson 2008;10:52.
16. Vallée JP, Lazeyras F, Kasuboski L, et al. Quantification of myocardial perfusion with FAST sequence and Gd bolus in patients with normal cardiac function. J Magn Reson Imaging 1999;9(2):197-203.
17. Vallée JP, Sostman HD, MacFall JR, et al. Quantification of myocardial perfusion by MRI after coronary occlusion. Magn Reson Med 1998;40(2):287-297.
18. Kurita T, Sakuma H, Onishi K, et al. Regional myocardial perfusion reserve determined using myocardial perfusion magnetic resonance imaging showed a direct correlation with coronary flow velocity reserve by Doppler flow wire. Eur Heart J 2009;30(4):444-452.
19. Ishida M, Ichihara T, Nagata M, et al. Quantification of myocardial blood flow using model based analysis of first-pass perfusion MRI: extraction fraction of Gd-DTPA varies with myocardial blood flow in human myocardium. Magn Reson Med 2011;66(5):1391-1399.
20. Ichihara T, Ishida M, Kitagawa K, et al. Quantitative analysis of first-pass contrast-enhanced myocardial perfusion MRI using a Patlak plot method and blood saturation correction. Magn Reson Med 2009;62(2):373-383.
21. Greenwood JP, Maredia N, Younger JF, et al. Cardiovascular magnetic resonance and single- photon emission computed tomography for diagnosis of coronary heart disease (CEMARC): a prospective trial. Lancet 2012; 379(9814):453-460.
22. Greenwood JP, Maredia N, Radjenovic A, et al. Clinical evaluation of magnetic resonance imaging in coronary heart disease: the CEMARC study. Trials 2009;10:62.
23. Cerqueira MD, Weissman NJ, Dilsizian V, et al. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 2002;105(4):539-542.
24. Cheong LH, Koh TS, Hou Z. An automatic approach for estimating bolus arrival time in dynamic contrast MRI using piecewise continuous regression models. Phys Med Biol 2003;48(5):N83-N88.
25. Fritsch F, Carlson R. Monotone piecewise cubic interpolation. SIAM J Numer Anal 1980;17(2):238-246.
26. Biglands J, Magee D, Boyle R, Larghat A, Plein S, Radjenović A. Evaluation of the effect of myocardial segmentation errors on myocardial blood flow estimates from DCEMRI. Phys Med Biol 2011;56(8):2423-2443.
27. Broadbent DA, Biglands JD, Larghat A, et al. Myocardial blood flow at rest and stress measured with dynamic contrast-enhanced MRI: comparison of a distributed parameter model with a Fermi function model. Magn Reson Med 2013;70(6):1591-1597.
28. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988;44(3):837-845.
29. Zakkaroff C, Radjenovic A, Biglands JD, Plein S, Greenwood JP, Magee DR. Registration of coronary MRA to DCE-MRI myocardial perfusion series improves diagnostic accuracy through the computation of patient-specific coronary supply territories: a CE-MARC sub-study [abstr]. J Cardiovasc Magn Reson 2014;16(Suppl 1):O25.
30. Masood Y, Liu Y, Depuey G, et al. Clinical validation of SPECT attenuation correction using x-ray computed tomography-derived attenuation maps: multicenter clinical trial with angiographic correlation. J Nucl Cardiol 2005;12:676-686.
31. Köstler H, Ritter C, Lipp M, Beer M, Hahn D, Sandstede J. Prebolus quantitative MR heart perfusion imaging. Magn Reson Med 2004;52(2):296-299.
32. Gatehouse PD, Elkington AG, Ablitt NA, Yang GZ, Pennell DJ, Firmin DN. Accurate assessment of the arterial input function during high-dose myocardial perfusion cardiovascular magnetic resonance. J Magn Reson Imaging 2004;20(1):39-45.