Abstract

Dual-energy CT for the assessment of chronic myocardial infarction in patients with chronic coronary artery disease: comparison with 3-T MRI

posted by Ralf Bauer, M.D. | Oct 12, 2010

Objective
The purpose of this article is to compare the performance of dual-energy CT with that of 3-T MRI with late enhancement for the detection of chronic myocardial infarction during first-pass coronary CT angiography (CTA).

Subjects and methods
Thirty-six patients underwent coronary CTA for the assessment of coronary bypass graft patency on a first-generation dual-source CT scanner in dual-energy mode. Gray-scale images (100 kV, 140 kV, and blended virtual 120 kV) were assessed for areas of hypodense myocardium during the arterial phase. In addition, a color-coded map of myocardial iodine distribution was calculated from the dual-energy data for perfusion analysis. Dual-energy CT data were compared with data from 3-T MRI with late enhancement, which served as the reference standard for scar detection using the American Heart Association’s 17-segment model of the left ventricle.

Results
One hundred one (17 %) of 612 myocardial segments in 22 (61 %) of 36 patients showed late enhancement on MRI. Although myocardial iodine mapping was prone to artifacts, mostly arising from sternal wires (70 % sensitivity), 100-kV gray-scale images showed the highest sensitivity (80 %) for the detection of myocardial scar. Blended virtual 120-kV images with lower noise and higher resolution had the best diagnostic accuracy (77 % sensitivity, 97 % specificity, 85 % positive predictive value, 96 % negative predictive value, and 94 % accuracy).

Conclusion

Detection of chronic myocardial infarction on color-coded iodine distribution analysis with first-generation dual-energy CT is impeded by thoracic metallic devices. This group of patients benefits more from adequate blending of high- and low-kilovoltage gray-scale images. Further technical improvements are desirable to lower artifact burden and improve sensitivity on myocardial iodine distribution mapping.

Full text: AJR Am J Roentgenol. 2010 Sep;195(3):639-46.

Authors: Bauer RW, Kerl JM, Fischer N, Burkhard T, Larson MC, Ackermann H, Vogl TJ

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