Variability of myocardial perfusion dark rim Gibbs artifacts due to sub-pixel shifts. (57/557)

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Prognostic validation of an algorithm to convert myocardial perfusion SPECT imaging data from a 12-segment model to a 17-segment model. (58/557)

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Prognostic value of myocardial perfusion scintigraphy in type 2 diabetic patients with mild, stable angina pectoris. (59/557)

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Negative predictive value and potential cost savings of acute nuclear myocardial perfusion imaging in low risk patients with suspected acute coronary syndrome: a prospective single blinded study. (60/557)

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Impact of image reconstruction on phase analysis of ECG-gated myocardial perfusion SPECT studies. (61/557)

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Myocardial perfusion imaging and cardiovascular outcomes in a cancer population. (62/557)

Myocardial perfusion imaging can predict outcomes in cardiac patients. However, limited data exist regarding its prediction of cardiovascular outcomes in cancer patients. We sought to determine whether myocardial perfusion imaging predicts long-term cardiovascular outcomes in cancer patients.We performed a retrospective review of 787 consecutive patients at our institution who underwent myocardial perfusion imaging from January 2001 through March 2003. The Cox proportional hazard model was applied, and total cardiac events, cardiac death, and all-cause death were determined for 3 years. We considered P <0.05 to be statistically significant.Patients with abnormal myocardial perfusion imaging results were more likely to be male and older, with heart disease, more vascular risk factors, and lower left ventricular ejection fraction (0.52 +/- 0.14 vs 0.63 +/- 0.11; P <0.001) than patients with normal myocardial perfusion imaging results. Multivariate predictors of total cardiac events included age (P = 0.023), hyperlipidemia (P = 0.0021), pharmacologic myocardial perfusion imaging (P <0.01), left ventricular ejection fraction (P <0.001), and abnormal myocardial perfusion imaging (P = 0.012). Multivariate predictors of cardiac death included age (P = 0.026) and left ventricular ejection fraction (P = 0.0001). Multivariate predictors of all-cause death were age (P = 0.0001), atrial fibrillation (P = 0.0012), and smoking (P <0.001). Overall survival was improved when patients took aspirin (P = 0.0002) and upon each unit increase in left ventricular ejection fraction (P <0.001).Myocardial perfusion imaging in cancer patients can predict 3-year cardiac outcomes. Increasing age, atrial fibrillation, and smoking were associated with worse outcomes, whereas higher left ventricular ejection fraction and the taking of aspirin were protective.  (+info)

Risk stratification by adenosine stress cardiac magnetic resonance in patients with coronary artery stenoses of intermediate angiographic severity. (63/557)

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Magnetic resonance adenosine perfusion imaging in patients after coronary artery bypass graft surgery. (64/557)

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