共 35 条
Dual-Energy CT for the Assessment of Chronic Myocardial Infarction in Patients With Chronic Coronary Artery Disease: Comparison With 3-T MRI
被引:59
作者:
Bauer, Ralf W.
[1
]
Kerl, J. Matthias
[1
]
Fischer, Nadine
[1
]
Burkhard, Thorsten
[1
]
Larson, Maya C.
[1
]
Ackermann, Hanns
[2
]
Vogl, Thomas J.
[1
]
机构:
[1] Clin Goethe Univ, Dept Diagnost & Intervent Radiol, D-60590 Frankfurt, Germany
[2] Clin Goethe Univ, Dept Med, Inst Biostat & Math Modeling, D-60590 Frankfurt, Germany
关键词:
3-T MRI;
chronic myocardial infarction;
coronary CT angiography;
dual-energy CT;
MRI late enhancement;
MULTIDETECTOR COMPUTED-TOMOGRAPHY;
CARDIAC MAGNETIC-RESONANCE;
INITIAL-EXPERIENCE;
CONTRAST ENHANCEMENT;
64-SECTION CT;
IMAGE QUALITY;
ANGIOGRAPHY;
PERFUSION;
HEART;
VIABILITY;
D O I:
10.2214/AJR.09.3849
中图分类号:
R8 [特种医学];
R445 [影像诊断学];
学科分类号:
100231 [临床病理学];
100902 [航空航天医学];
摘要:
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.
引用
收藏
页码:639 / 646
页数:8
相关论文

