会议论文详细信息
13th South-East Asian Congress of Medical Physics 2015
Assessment of cardiac function using myocardial perfusion imaging technique on SPECT with 99mTc sestamibi
物理学;医药卫生
Gani, M.R.A.^1 ; Nazir, F.^2 ; Pawiro, S.A.^1 ; Soejoko, D.S.^1
Department of Physics, Faculty of Mathematics and Sciences, University of Indonesia, Depok, Indonesia^1
National Nuclear Atomic Energy Agency, Jakarta, Indonesia^2
关键词: Cardiac functions;    Cardiac muscles;    Coronary heart disease;    Left ventricles;    Myocardial perfusion;    Myocardial perfusion imaging;    Pharmacological agents;    Physical exercise;   
Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/694/1/012057/pdf
DOI  :  10.1088/1742-6596/694/1/012057
学科分类:卫生学
来源: IOP
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【 摘 要 】

Suspicion on coronary heart disease can be confirmed by observing the function of left ventricle cardiac muscle with Myocardial Perfusion Imaging techniques. The function perfusion itself is indicated by the uptake of radiopharmaceutical tracer. The 31 patients were studied undergoing the MPI examination on Gatot Soebroto Hospital using99mTc-sestamibi radiopharmaceutical with stress and rest conditions. Stress was stimulated by physical exercise or pharmacological agent. After two hours, the patient did rest condition on the same day. The difference of uptake percentage between stress and rest conditions will be used to determine the malfunction of perfusion due to ischemic or infarct. Degradation of cardiac function was determined based on the image-based assessment of five segments of left ventricle cardiac. As a result, 8 (25.8%) patients had normal myocardial perfusion and 11 (35.5%) patients suspected for having partial ischemia. Total ischemia occurred to 8 (25.8%) patients with reversible and irreversible ischemia and the remaining 4 (12.9%) patients for partial infarct with characteristic the percentage of perfusion ≤50%. It is concluded that MPI technique of image-based assessment on uptake percentage difference between stress and rest conditions can be employed to predict abnormal perfusion as complementary information to diagnose the cardiac function.

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