학술논문

Non-contrast cardiac computed tomography can accurately detect chronic myocardial infarction: Validation study
Document Type
article
Source
Journal of Nuclear Cardiology. 18(1)
Subject
Biomedical and Clinical Sciences
Clinical Sciences
Heart Disease - Coronary Heart Disease
Biomedical Imaging
Atherosclerosis
Cardiovascular
Heart Disease
4.2 Evaluation of markers and technologies
Detection
screening and diagnosis
4.1 Discovery and preclinical testing of markers and technologies
Chronic Disease
Contrast Media
Coronary Angiography
Coronary Artery Disease
Female
Humans
Male
Middle Aged
Myocardial Infarction
Myocardial Perfusion Imaging
Radiographic Image Interpretation
Computer-Assisted
Reproducibility of Results
Sensitivity and Specificity
Tomography
X-Ray Computed
Myocardial perfusion imaging: SPECT
infarction
myocardial
computed tomography
coronary artery disease
diagnostic
prognostic application
Cardiorespiratory Medicine and Haematology
Cardiovascular System & Hematology
Cardiovascular medicine and haematology
Language
Abstract
BackgroundThis study evaluates whether non-contrast cardiac computed tomography (CCT) can detect chronic myocardial infarction (MI) in patients with irreversible perfusion defects on nuclear myocardial perfusion imaging (MPI).MethodsOne hundred twenty-two symptomatic patients with irreversible perfusion defect (N = 62) or normal MPI (N = 60) underwent coronary artery calcium (CAC) scanning. MI on these non-contrast CCTs was visually detected based on the hypo-attenuation areas (dark) in the myocardium and corresponding Hounsfield units (HU) were measured.ResultsNon-contrast CCT accurately detected MI in 57 patients with irreversible perfusion defect on MPI, yielding a sensitivity of 92%, specificity of 72%, negative predictive value (NPV) of 90%, and a positive predictive value (PPV) of 77%. On a per myocardial region analysis, non-contrast CT showed a sensitivity of 70%, specificity of 85%, NPV of 91%, and a PPV of 57%. The ROC curve showed that the optimal cutoff value of LV myocardium HU to predict MI on non-contrast CCT was 21.7 with a sensitivity of 97.4% and specificity of 99.7%.ConclusionNon-contrast CCT has an excellent agreement with MPI in detecting chronic MI. This study highlights a novel clinical utility of non-contrast CCT in addition to assessment of overall burden of atherosclerosis measured by CAC.