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Quantitative Magnetic Resonance Analysis in the Assessment of Cardiac Diseases

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Multi-Modality Atherosclerosis Imaging and Diagnosis

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Abstract

Cardiac magnetic resonance (CMR) offers several acquisition techniques for accurate and highly reproducible quantitative assessment of global and regional ventricular function, blood flow, myocardial perfusion at rest and stress, necrotic and scarred myocardium, and heart iron load.

The ongoing clinical need for objective and accurate assessment of myocardial function and recent advances in CMR hardware and automated and semi-automated image analysis software resulted in significant improvements in image quality and a reduction in imaging time.

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References

  1. Pennell DJ, Sechtem UP, Higgins CB et al (2004) Clinical indications for cardiovascular magnetic resonance (CMR): Consensus Panel report. Eur Heart J 25:1940–1965

    Article  PubMed  Google Scholar 

  2. Shapiro EP, Rogers WJ, Beyar R et al (1989) Determination of left ventricular mass by magnetic resonance imaging in hearts deformed by acute infarction. Circulation 79:706–711

    Article  PubMed  CAS  Google Scholar 

  3. Barkhausen J, Ruehm SG, Goyen M et al (2001) MR evaluation of ventricular function: true fast imaging with steady-state precession versus fast low angle shot cine MR imaging-feasibility study. Radiology 219:264–269

    PubMed  CAS  Google Scholar 

  4. Plein S, Bloomer TN, Ridgway JP et al (2001) Steady state free precession magnetic resonance imaging of the heart: comparison with segmented k-space gradient-echo imaging. J Magn Reson Imaging 14:230–236

    Article  PubMed  CAS  Google Scholar 

  5. Kondo C, Caputo GR, Semelka R et al (1991) Right and left ventricular stroke volume measurements with velocity-encoded cine MR imaging: in vitro and in vivo validation. AJR Am J Roentgenol 157:9–16

    Article  PubMed  CAS  Google Scholar 

  6. Azhari H, Sideman S, Weiss JL et al (1990) Three-dimensional mapping of acute ischemic regions using MRI: wall thickening versus motion analysis. Am J Physiol 259:H1492–H1503

    PubMed  CAS  Google Scholar 

  7. Weintraub WS, Agarwal JB, Seeclaus PA et al (1983) Segmental wall motion score as a predictor of survival in coronary artery disease. Circulation 68:111–114

    Google Scholar 

  8. Lieberman AN, Weiss JL, Jugdutt BI et al (1981) Two dimensional echocardiography and infarct size: relationship of regional wall motion and thickening to the extent of myocardial infarction in the dog. Circulation 63:739–746

    Article  PubMed  CAS  Google Scholar 

  9. San Román JA, Candell-Riera J, Arnold R et al (2009) Quantitative analysis of left ventricular function as a tool in clinical research. Theoretical basis and methodology. Rev Esp Cardiol 62(5):535–551

    Article  PubMed  Google Scholar 

  10. Picano E, Lattanzi F, Orlandini A et al (1991) Stress echocardiography and the human factor: the importance of being expert. J Am Coll Cardiol 17:666–669

    Article  PubMed  CAS  Google Scholar 

  11. Nagel E, Lehmkuhl HB, Bocksch W et al (1999) Noninvasive diagnosis of ischemia-induced wall motion abnormalities with the use of high-dose dobutamine stress MRI: comparison with dobutamine stress echocardiography. Circulation 99:763–770

    Article  PubMed  CAS  Google Scholar 

  12. McVeigh ER, Zerhouni EA (1991) Noninvasive measurement of transmural gradients in myocardial strain with MR imaging. Radiology 180:677–683

    PubMed  CAS  Google Scholar 

  13. Bogaert J, Dymarkowski S, Taylor AM (2005) Clinical cardiac MRI. 1. Springer, Berlin

    Book  Google Scholar 

  14. Meier D, Maier S, Boesiger P (1988) Quantitative flow measurements on phantoms and on blood vessels with MR. Magn Reson Med 8:25–34

    Article  PubMed  CAS  Google Scholar 

  15. Sechtem U, Pflugfelder PW, Cassidy MM et al (1988) Mitral and aortic regurgitation: quantification of regurgitant volumes with cine MR imaging. Radiology 167:425–430

    PubMed  CAS  Google Scholar 

  16. Longmore DB, Klipstein RH, Underwood SR (1985) Dimensional accuracy of magnetic resonance studies of the heart. Lancet 1:1360–1362

    Article  PubMed  CAS  Google Scholar 

  17. Kondo C, Caputo GR, Semelka R et al (1991) Right and left ventricular stroke volume measurements with velocity encoded cine NMR imaging: in vivo and in vitro evaluation. AJR Am J Roentgenol 157:9–16

    Article  PubMed  CAS  Google Scholar 

  18. Gallagher KP, Osakada G, Matsuzaki M et al (1982) Myocardial blood flow and function with critical coronary stenosis in exercising dogs. Am J Physiol 243(5):698–707

    Google Scholar 

  19. Schwitter J, Nanz D, Kneifel S et al (2001) Assessment of myocardial perfusion in coronary artery disease by magnetic resonance. A comparison with positron emission tomography and coronary angiography. Circulation 103:2230–2235

    Article  PubMed  CAS  Google Scholar 

  20. Nagel E, Klein C, Paetsch I et al (2003) Magnetic resonance perfusion measurements for the noninvasive detection of coronary artery disease. Circulation 108:432–437

    Article  PubMed  Google Scholar 

  21. Nandalur KR, Dwamena BA, Choudhri AF et al (2007) Diagnostic performance of stress cardiac magnetic resonance imaging in the detection of coronary artery disease: a meta-analysis. J Am Coll Cardiol 50:1343–1353

    Article  PubMed  Google Scholar 

  22. Milles J, Van der Geest RJ, Jerosch-Herold M et al (2008) Fully automated motion correction in first-pass myocardial perfusion MR image sequences. IEEE Trans Med Imaging 27:1611–1621

    Article  PubMed  Google Scholar 

  23. Lee DC, Johnson NP (2009) Quantification of absolute myocardial blood flow by magnetic resonance perfusion imaging. JACC Cardiovasc Imaging 2:761–770

    Article  PubMed  Google Scholar 

  24. Kim RJ, Fieno DS, Parrish TB et al (1999) Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation 100:1992–2002

    Article  PubMed  CAS  Google Scholar 

  25. Kim RJ, Wu E, Rafael A et al (2000) The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med 343:1445–1453

    Article  PubMed  CAS  Google Scholar 

  26. Wu E, Ortiz JT, Tejedor P et al (2008) Infarct size by contrast enhanced cardiac magnetic resonance is a stronger predictor of outcomes than left ventricular ejection fraction or end-systolic volume index: prospective cohort study. Heart 94:730–736

    Article  PubMed  CAS  Google Scholar 

  27. Thomson LEJ, Kim RJ, Judd RM (2004) Magnetic resonance imaging for the assessment of myocardial viability. J Magn Reson Imaging 19:771–788

    Article  PubMed  Google Scholar 

  28. Masci PG, Ganame J, Strata E et al (2010) Myocardial salvage by CMR correlates with LV remodeling and early ST-segment resolution in acute myocardial infarction. JACC Cardiovasc Imaging 3(1):45–51

    Article  PubMed  Google Scholar 

  29. Liu P, Olivieri N (1994) Iron overload cardiomyopathies: new insights into an old disease. Cardiovasc Drugs Ther 8:101–110

    Article  PubMed  CAS  Google Scholar 

  30. Wood JC (2007) Magnetic resonance imaging measurement of iron overload. Curr Opin Hematol 14:183–190

    Article  PubMed  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Radiology, Giovanni XXIII Hospital, Monastier, Treviso, Italy

    Erica Maffei, Teresa Arcadi & Chiara Martini

  2. Department of Radiology, SDN IRCCS – Institute of Diagnostic and Nuclear Research, Naples, Italy

    Giancarlo Messalli

  3. Department of Biomorphological and Functional Sciences, University Federico II, Naples, Italy

    Giancarlo Messalli & Massimo Imbriaco

  4. Department of Neuroscience and Imaging, Section of Diagnostic Imaging and Therapy, “G. D’Annunzio” University, Chieti, Italy

    Cesare Mantini

  5. Department of Radiology, University Federico II, Naples, Italy

    Massimo Imbriaco

  6. Department of Radiology, Erasmus Medical Center University, Rotterdam, The Netherlands

    Filippo Cademartiri

  7. Cardio-Vascular Imaging Unit, Giovanni XXIII Hospital, Via Giovanni XXIII 7, 31050, Monastier di Treviso, Treviso, Italy

    Filippo Cademartiri

Authors
  1. Erica Maffei
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  2. Giancarlo Messalli
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  3. Cesare Mantini
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  4. Teresa Arcadi
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  5. Chiara Martini
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  6. Massimo Imbriaco
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  7. Filippo Cademartiri
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Corresponding author

Correspondence to Filippo Cademartiri .

Editor information

Editors and Affiliations

  1. Department of Radiology, A.O.U Cagliari - Polo di Monserrato, Bivio per Sestu, Italy

    Luca Saba

  2. Instituto Superior Técnico Institute for Systems and Robotics, Lisboa, Portugal

    João Miguel Sanches

  3. Hospital de Santa Maria, Lisboa, Portugal

    Luís Mendes Pedro

  4. Stroke Research and Monitoring Division, AtheroPoint(TM) LLC, Roseville, California, USA

    Jasjit S. Suri

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Maffei, E. et al. (2014). Quantitative Magnetic Resonance Analysis in the Assessment of Cardiac Diseases. In: Saba, L., Sanches, J., Pedro, L., Suri, J. (eds) Multi-Modality Atherosclerosis Imaging and Diagnosis. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7425-8_6

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  • DOI: https://doi.org/10.1007/978-1-4614-7425-8_6

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7424-1

  • Online ISBN: 978-1-4614-7425-8

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