1,721,070 research outputs found

    Cardiac radionuclide imaging after coronary artery revascularization

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    In the last decades, advances in the therapeutic options for cardiovascular diseases, coupled with improvements in imaging technology contributed to the explosive growth in the number of cardiovascular imaging procedures performed, which also raised concern about overuse. The decision whether cardiac imaging is reasonable or not should be based on how the information gained will influence subsequent patient care and outcomes. Appropriate use criteria have been developed by the major scientific societies and the resulting documents aim to categorize specific clinical scenarios and to indicate whether an imaging test is reasonable to perform, or whether the test has uncertain or inappropriate indications. Imaging decisions based on these authoritative criteria provides assurance that the test is reasonable and the clinical benefits outweigh the potential risks. This review focuses on the value of cardiac radionuclide imaging after coronary artery revascularization, in particular in clinical subgroups of subjects for whom uncertainty still exist. {\textcopyright} 2014 Springer Science+Business Media New York

    Usefulness of stress cardiac single-photon emission computed tomographic imaging late after percutaneous coronary intervention for assessing cardiac events and time to such events

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    This study assessed the predictors and temporal characteristics of cardiac risk in patients undergoing stress single-photon emission computed tomography (SPECT) after percutaneous coronary intervention (PCI). Stress SPECT was performed in 346 patients 12 to 18 months after PCI. Cardiac death and myocardial infarction were considered events. Cox proportional hazards analysis was used to identify predictors of events and parametric survival analysis to predict time to events. During follow-up (31 +/- 10 months), 17 events occurred (4.9% cumulative event rate). Prescan likelihood of ischemia and ischemia at SPECT were independent predictors of events (p or =2% risk of events were >48 months in those with low prescan likelihood of ischemia and >20 months in those with intermediate to high prescan likelihood. Ischemia at SPECT was associated with higher probability of failure accelerating over time. In conclusion, clinical variables and stress SPECT performed 12 to 18 months after PCI are useful to characterize risk of cardiac events and its temporal variation. Parametric survival models seem useful to estimate predicted time to risk and levels of risk at specific intervals after PCI

    Quantification of Myocardial Perfusion: SPECT

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    Myocardial perfusion imaging with single-photon emission computed tomography (SPECT) is important for the management of patients with suspected or known coronary artery disease. Stress myocardial perfusion images may be interpreted by visual inspection or by quantitative analysis. The use of visual inspection alone may introduce considerable observer variability and clinical usefulness of myocardial perfusion imaging may not be consistently reproduced in many laboratories using visual analysis. Relative myocardial distribution of imaging agents on SPECT images can be quantified and compared with normal data files by computer processing. Quantification of myocardial perfusion images provides a reproducible measure of the extent of perfusion abnormalities and defect reversibility. The quantification of myocardial perfusion images improves not only the overall diagnostic yield but also enhances reliability, accuracy, confidence, and reproducibility of interpretation. This review illustrates the current status and the future perspectives of myocardial perfusion quantification by SPECT imaging. {\textcopyright} 2012 Springer Science+Business Media, LLC

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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