Myocardial ischemia in acute coronary syndrome: assessment using 64-MDCT
Michinobu Nagao1, Hiroshi Matsuoka, Hideo Kawakami
1Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon-city, Ehime 791-0295, Japan. minagao@m.ehime-u.ac.jp
Insights
Sixty-four-MDCT myocardial imaging effectively assesses myocardial ischemia in acute coronary syndrome (ACS). This technique shows hypoenhancement in affected areas, correlating with myocardial damage.
Area of Science:
- Cardiovascular Imaging
- Radiology
- Cardiac CT
Background:
- Acute coronary syndrome (ACS) necessitates accurate myocardial ischemia assessment.
- Traditional methods may have limitations in visualizing ischemic regions.
Purpose of the Study:
- To evaluate the diagnostic performance of 64-MDCT myocardial imaging for assessing myocardial ischemia in patients with ACS.
Main Methods:
- 35 ACS patients (24 AMI, 11 UAP) underwent cardiac CT.
- 2D myocardial images were reconstructed from coronary CT angiography data.
- Myocardial CT numbers and color-scale enhancement evaluated ischemia, with focus on systolic phase and transmurality.
Main Results:
- 91% of ACS patients showed myocardial hypoenhancement in culprit lesion territories during systole.
- Hypoenhancement was more extensive in systole than diastole.
- Systolic hypoenhancement transmurality correlated with myocardial damage biomarkers.
Conclusions:
- 64-MDCT myocardial imaging demonstrates high sensitivity for assessing myocardial ischemia in ACS.
- The technique aids in identifying ischemic regions and correlates with infarct size.
Objective:
We investigated the performance of 64-MDCT myocardial imaging in assessing myocardial ischemia in acute coronary syndrome (ACS).
Materials And Methods:
Cardiac CT was performed in 35 patients with ACS: 24 patients with acute myocardial infarction (AMI) and 11 patients with unstable angina pectoris (UAP). We reconstructed 2D myocardial images at diastolic and systolic phases using the same raw data as those used for coronary CT angiography. The CT number in the myocardium was used as an estimate of ischemia. The myocardium was shown using a color scale that depicts faint low-density areas more clearly than gray scale. We evaluated the variations in myocardial enhancement during the cardiac cycle in the territory of the culprit lesion. In addition, we classified patients on the basis of the transmurality of myocardial enhancement and examined whether this feature correlates with myocardial damage.
Results:
Myocardial imaging at systole showed myocardial hypoenhancement in territories of the culprit lesion in 91% of patients with ACS, 96% of patients with AMI, and 75% of patients with UAP. The hypoenhancement areas at systole tended to be more extensive than those at diastole. The transmural extent of hypoenhancement at systole correlated with myocardial damage, which was shown by myocardial biomarkers.
Conclusion:
CT myocardial imaging can be used to assess myocardial ischemia in the appropriate region of ACS with high sensitivity.
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