Magnetic resonance perfusion of the myocardium: Semiquantitative and quantitative evaluation in comparison with coronary angiography and fractional flow reserve

Investigative Radiology

Volumn 47, Issue 6, 2012, Pages 332-338

  Huber, Armin ^a   Sourbron, Steven ^b   Klauss, Volker ^c   Schaefer, Julia ^d   Bauner, Kerstin Ulrike ^e   Schweyer, Michael ^d   Reiser, Maximilian ^d   Rummeny, Ernst ^a   Rieber, Johannes ^c  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF LEEDS   (United Kingdom)

^c UNIVERSITY OF WÜRZBURG   (Germany)

^d LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^e TORONTO GENERAL HOSPITAL   (Canada)

Author keywords

adenosine; contrast agent; gadolinium; MRI; myocardium; perfusion

Indexed keywords

ADENOSINE; GADOLINIUM PENTETATE MEGLUMINE;

ADULT; AGED; ANGIOCARDIOGRAPHY; ARTERY OCCLUSION; ARTICLE; CARDIAC IMAGING; CARDIOVASCULAR SYSTEM EXAMINATION; CLINICAL ARTICLE; CONTROLLED STUDY; CORONARY ARTERY BLOOD FLOW; CORONARY ARTERY CIRCUMFLEX BRANCH; CORONARY ARTERY DISEASE; CORONARY ARTERY PRESSURE; CORONARY HEMODYNAMICS; DIAGNOSTIC ACCURACY; FLOW RATE; FRACTIONAL FLOW RESERVE; HEART LEFT VENTRICLE EJECTION FRACTION; HEART MUSCLE BLOOD FLOW; HEART MUSCLE PERFUSION; HUMAN; INTERMETHOD COMPARISON; MYOCARDIAL PERFUSION IMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; STRESS;

EID: 84861096471     PISSN: 00209996     EISSN: 15360210     Source Type: Journal    
DOI: 10.1097/RLI.0b013e31824f54cb     Document Type: Article

References (30)

1. Bartunek J, Sys SU, Heyndrickx GR, et al. Quantitative coronary angiography in predicting functional significance of stenosis in an unselected patient cohort. J Am Coll Cardiol. 1995;26:328-334.
2. Serruys PW, Di Mario C, Piek J, et al. Prognostic value of intracoronary flow velocity and diameter stenosis in assessing the short- and long-term outcomes of coronary balloon angioplasty: the DEBATE (Doppler Endpoints Balloon Angioplasty Trial Europe) study. Circulation. 1997;96:3369-3377.
3. Pijls NHJ, Van Gelder B, Van der Voot P, et al. Fractional flow reserve. A useful index to evaluate the influence of an epicardial coronary stenosis on myocardial blood flow. Circulation. 1995;92:3183-3193.
4. Wilke N, Jerosch-Herold M, Wang Y, et al. Myocardial perfusion reserve: assessment with multisection, quantitative, first-pass MR imaging. Radiology. 1997;204:373-384.
5. Schwitter J, Nanz D, Kneifield S, et al. Assessment of myocardial perfusion in coronary artery disease by magnetic resonance: a comparison with positron emission tomography and coronary angiography. Circulation. 2001;103: 2230-2235.
6. Al-Saadi N, Nagel E, Gross M, et al. Noninvasive detection of myocardial ischemia from perfusion reserve based on cardiovascular magnetic resonance. Circulation. 2000;101:1379-1383.
7. Rieber J, Huber A, Erhard I, et al. Cardiac magnetic resonance perfusion imaging for the functional assessment of coronary artery disease: a comparison with coronary angiography and fractional flow reserve. Eur Heart J. 2006;27: 1465-1471.
8. Wilke N, Kroll K, Merkle H, et al. Regional myocardial blood volume and flow: first-pass MR imaging with polylysine-Gd-DTPA. J Magn Reson Imaging. 1995;5:227-237.
9. Jerosch-Herold M, Wilke N, Wang Y, et al. Cardiac MRI Group. Direct comparison of an intravascular and an extracellular contrast agent for quantification of myocardial perfusion. Int J Card Imaging. 1999;15:453-464.
10. 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;105:539-542.
11. Sourbron S, Dujardin M, Makkat S, et al. Pixel-by-pixel deconvolution of bolus-tracking data: optimization and implementation. Phys Med Biol. 2007;52: 429-447.
12. Theisen D, Wintersperger BJ, Huber A, et al. Myocardial first pass perfusion imaging with gadobutrol: impact of parallel imaging algorithms on image quality and signal behavior. Invest Radiol. 2007;42:522-528.
13. Kroll K,Wilke N, Jerosch-Herold M, et al. Modeling regional myocardial flows from residue functions of an intravascular indicator. Am J Physiol. 1996;271: 1643-1655.
14. Kraitchman DL, Wilke N, Hexeberg E, et al. Myocardial perfusion and function in dogs with moderate coronary stenosis. Magn Reson Med. 1996;35:771-780.
15. 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;50:514-522.
16. Kö stler H, Ritter C, Lipp M, et al. Prebolus quantitative MR heart perfusion imaging. Magn Reson Med. 2004;52:296-299.
17. Hsu LY, Kellman P, Arai AE. Nonlinear myocardial signal intensity correction improves quantification of contrast-enhanced first-pass MRperfusion in humans. J Magn Reson Imaging. 2008;27:793-801.
18. Jerosch-Herold M, Swingen C, Seethamraju RT. Myocardial blood flow quantification with MRI by model-independent deconvolution. Med Phys. 2002;29: 886-897.
19. Keijer JT, van Rossum AC, Wilke N, et al. Magnetic resonance imaging of myocardial perfusion in single-vessel coronary artery disease: implications for transmural assessment ofmyocardial perfusion. J CardiovascMagnReson. 2000; 2:189-200.
20. Gibbons R, Araoz P. The year in cardiac imaging. J Am Coll Cardiol. 2005; 46:542-551.
21. Bol A, Melin JA, Vanoverschelde JL, et al. Direct comparison of [13N]ammonia and [15O]water estimates of perfusion with quantification of regional myocardial blood flow by microspheres. Circulation. 1993;87:512-525.
22. Pijls NH, van Son JA, Kirkeeide RL, et al. Experimental basis of determining maximum coronary, myocardial, and collateral blood flow by pressure measurements for assessing functional stenosis severity before and after percutaneous transluminal coronary angioplasty. Circulation. 1993;87:1354-1367.
23. De Bruyne B, Baudhuin T, Melin JA, et al. Coronary flow reserve calculated from pressure measurements in humans. Validation with positron emission tomography. Circulation. 1994;89:1013-1022.
24. de Bruyne B, Bartunek J, Sys SU, et al. Simultaneous coronary pressure and flow velocity measurements in humans. Feasibility, reproducibility, and hemodynamic dependence of coronary flow velocity reserve, hyperemic flow versus pressure slope index, and fractional flow reserve. Circulation. 1996;94: 1842-1849.
25. Vassalli G, Hess OM. Measurement of coronary flow reserve and its role in patient care. Basic Res Cardiol. 1998;93:339-353.
26. Al Saadi N, Gross M, Bornstedt A, et al. Comparison of various parameters for determining an index of myocardial perfusion reserve in detecting coronary stenosis with cardiovascular magnetic resonance tomography. Z Kardiol. 2401;90:824-834.
27. 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;25:73-84.
28. Axel L. Tissue mean transit time from dynamic computed tomography by a simple deconvolution technique. Invest Radiol. 1983;18:94-99.
29. Ibrahim T, Nekolla SG, Schreiber K, et al. Assessment of coronary flow reserve: comparison between contrast-enhanced magnetic resonance imaging and positron emission tomography. J Am Coll Cardiol. 39:864-870.
30. Mühling OM, Dickson ME, Zenovich A, et al. Quantitative magnetic resonance first-pass perfusion analysis: inter- and intraobserver agreement. J Cardiovasc Magn Reson. 2001;3:247-256.