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  • Poster presentation
  • Open Access

To detect myocardial ischemic zones on CMR in relation to degree of coronary artery stenosis and to correlate with major adverse cardiac events in 9 month follow up period

  • 1 and
  • 1
Journal of Cardiovascular Magnetic Resonance201315 (Suppl 1) :E64

  • Published:


  • Public Health
  • Ischemia
  • Retrospective Study
  • Myocardial Ischemia
  • Unstable Angina


Perfusion-cardiac magnetic resonance (CMR) is generally accepted to assess myocardial ischemia non-invasively by assessing the ischemia noninvasively with moderate coronary artery stenosis and follow up of these patients will helps in prognostic estimation.


Retrospective study of 68 patients with moderate coronary artery stenosis (50-70%) underwent stress and viability CMR in the period from January 2010 to December 2011. Patients are referred by cardiologists and physicians after coronary angiogram for further evaluation.

Cardiac MR done with state-of-the-art MR equipment Magnetom Avanto 1.5 T (Siemens) by using stress and viability sequences.

Follow up of these patients are done for major adverse cardiac events -MACE for 9 months.


Of 68 patients with CAD, 94 segments of moderate coronary artery stenosis are found. Stress CMR shows evidence of ischemia in 54 segments & infarcts in 4 patients.

Follow up these patients for major adverse cardiac events in 9 months , 18 patients had MI , 6 patients had unstable angina and 5 patients with LV dysfunction


Stress CMR analyses patients with moderate coronary artery stenosis for ischemia and predicts the development of major adverse cardiac events


No funding taken.
Figure 1
Figure 1

Adenosine stress MR - perfusion defect - LAD territory

Figure 2
Figure 2

CAG - moderate LAD narrowing

Authors’ Affiliations

Radiology, Viikarm Hospital -Jeshta, Mysore, India


© Bannur and Mallikrajunappa; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.