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Journal of Research in Medical Sciences، جلد ۱۷، شماره ۹، صفحات ۰-۰
عنوان فارسی
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عنوان انگلیسی A promising method of enhancement for early detection of ischemic stroke
چکیده انگلیسی مقاله Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 BACKGROUND: Computed Tomography (CT) scan without contrast is the modality of choice for diagnosis of stroke. However, routine brain CT scan, with linear processing has some limitations in early diagnosis of ischemic stroke. The aim of this study was to evaluate and compare the sensitivity and specificity of processed CT images with conventional ones in early diagnosis of cerebrovascular attack (CVA). MATERIALS AND METHODS: This was a self-controlled study conducted in a university referal hospital from 2010 to 2011. Seventy CT scans underwent a process using Laplacian Pyramid transform. Thirty five of participants were diagnosed with CVA while others had only headache and no ischemic stroke diagnosis based on the first and follow-up CT scans. A neuroradiologist made diagnosis with and without the help of processed CT scans. The McNemar and Wilcoxon analysis were used to compare the sensitivity, specificity, positive and negative predictive values of two methods. RESULTS: The sensitivity (% 65.7 vs. %31.4, P -value = 0.001), positive predictive value (% 85.2 vs. % 61, P -value = 0.03) and negative predictive value (% 73.9% vs. %49, P -value = 0.01) of the processed method were significantly higher than the routine one, while no difference was seen in specificity (% 88.6 vs. %77.1, P -value = 0.15). Moreover, the accuracy of the processed method was significantly better than the linear one ( P -value < 0.001). CONCLUSIONS: It was concluded that nonlinear modified Laplacian Pyramid method can composed CT scans which can be more helpful in early detection of ischemic stroke.
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نویسندگان مقاله مهدی سجادی | mehdi sajjadi
department of electrical and computer engineering, digital signal processing research lab, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

مهدی کرمی | mehdi karami
department of radiology, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

رسول امیرفتاحی | rassoul amirfattahi
department of electrical and computer engineering, digital signal processing research lab, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

وحید باطنی | vahid bateni
department of radiology, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

محمد r ahamadzadeh | mohammad r ahamadzadeh
department of electrical and computer engineering, digital signal processing research lab, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

بهاره ابراهیمی | bahareh ebrahimi
skin diseases and leishmaniasis research center, isfahan university of medical sciences, isfahan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی اصفهان (Isfahan university of medical sciences)

نشانی اینترنتی http://jrms.mui.ac.ir/index.php/jrms/article/view/8619
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زبان مقاله منتشر شده en
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نوع مقاله منتشر شده Original Articles
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