Abstract
Background Stroke is a leading cause of serious disability and death and its accurate and timely diagnosis is critical for better stroke outcomes. However, recent studies indicate that stroke is among the most common dangerous missed diagnoses. Diffusion-weighted imaging (DWI), which was first introduced in the early 1990s among clinical concerns, has become an invaluable tool in the evaluation processes of patients with suspected ischemic stroke. Objective Herein, it is aimed to investigate the reliability of the interpretation of DWI in the diagnosis of stroke by emergency physicians. Methods DWIs of the patients, evaluated in the Emergency Service of Yozgat City Hospital from April 1, 2017 to September 1, 2017, were retrospectively evaluated by four emergency physicians (specialists) separately in a blind and random fashion. The reliability of the evaluations was calculated using Kappa analyses on SPSS Statistics 20. Results DWI of 154 patients was enrolled in this study. Kappa values were determined to be as 0.911 (almost perfect), 0.909 (almost perfect), 0.897 (almost perfect), 0.779 (substantial), respectively. Discussion The results of this study may suggest that the reliability of DWI interpretation by emergency physicians was pretty high, even it can still be improved. Combining the literature data remarking a substantial number of misdiagnosed stroke patients in the emergency department (ED) and study results, it can be hypothesized that the major problem may be related with rather clinical evaluation processes as well as insufficient neurology consultation. Future reports are warranted to understand the basic problems of stroke evaluation processes in the ED. The results of these studies may aid to develop better solutions while constituting effective stroke programs and initiatives.
Copyright
Association for Helping Neurosurgical Sick People. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-Non Derivative-Non Commercial License, permitting copying and reproduction so long as the original work is given appropriate credit.
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This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License, which permits unrestricted reproduction and distribution, for non-commercial purposes only; and use and reproduction, but not distribution, of adapted material for non-commercial purposes only, provided the original work is properly cited.