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Iranian Journal of Nuclear Medicine، جلد ۳۰، شماره ۲، صفحات ۱۰۳-۱۰۸
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عنوان انگلیسی Prognostic value of myocardial perfusion imaging in Iranian patients using total perfusion deficits: Comparison with semi-quantitative assessment
چکیده انگلیسی مقاله Introduction: Considering that quantitative methods are usually more reproducible with lower inter-observer variability, the purpose of this research was to compare the prognostic value of the two quantitative method with quantitative perfusion SPECT (QPS) software. Methods: This study was performed prospectively and included 200 participants who were referred for myocardial perfusion imaging. These participants were selected by the convenience sampling method. All patients were followed up after one year. Patients were classified as those with and without major cardiac events, including cardiac death, non-fatal myocardial infarction, open-heart surgery, abnormal angiographic findings, and unstable angina.Results: There were 62 male (31.0%) and 138 female (69.0%) patients, ranging in age from 30 to 86 years. The results indicated that the major cardiac events were significantly higher in moderate and severe categories based on summed stress score (SSS) (P=0.024) and total perfusion deficit (TPDs) (P=0.002) scores. SSS score with TPDs score (P = 0.764), summed rest score (SRS) with TPDr score (P = 0.583) and SDS with ΔTPD (P = 0.118) were compatible for predicting major heart events within a year.Conclusion: Total perfusion deficits obtained from QPS software is a useful method for predicting major cardiac events in patients with suspected cardiovascular disease (CVD). Predictive ability of TPD was similar to that of the semi-quantitative method with an expert interpreter's help. Moreover, this method can be helpful for CAD diagnosis and therapeutic evaluation of patients.
کلیدواژه‌های انگلیسی مقاله Myocardial perfusion imaging, Total perfusion deficits, Quantitative perfusion SPECT software
نویسندگان مقاله Mahdi Haghighatafshar |
Nuclear Medicine and Molecular Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

Banafsheh Sarmadi |
Nuclear Medicine and Molecular Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

Hossein Akbarialiabad |
Nuclear Medicine and Molecular Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

Fatemeh Shekoohi-Shooli |
Department of Neuroscience, Imaging and Clinical Sciences, “G. d’Annunzio” University of Chieti-Pescara, Chieti, Italy

Tahereh Ghaedian |
Nuclear Medicine and Molecular Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran

نشانی اینترنتی http://irjnm.tums.ac.ir/article_40016_a217708219031aebb26c75c736dfbab7.pdf
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