Abstract
The keystone of the evidence-based imaging (EBI) approach is to critically assess the research data that are provided and to determine if the information is appropriate for use in answering the EBI question. Unfortunately, the published studies are often limited by bias, small sample size, and methodological inadequacy. Further, the information provided in published reports may be insufficient to allow estimation of the quality of the research. Two recent initiatives, the CONSORT [1] and the STARD [2], aim to improve the reporting of clinical trials and studies of diagnostic accuracy, respectively. However, these guidelines are only now being implemented and are not well known to readers of the medical literature.
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Blackmore, C.C., Medina, L.S., Ravenel, J.G., Silvestri, G.A., Applegate, K.E. (2013). Assessing the Imaging Literature: Understanding Error and Bias. In: Medina, L.S., Sanelli, P.C., Jarvik, J.G. (eds) Evidence-Based Neuroimaging Diagnosis and Treatment. Evidence-Based Imaging. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3320-0_3
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