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Image Based Automated ASPECT Score for Acute Ischemic Stroke Patients

机译:基于图像的急性缺血性卒中患者的自动ASPECT评分

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The Alberta Stroke Program Early Computed Tomography Score (ASPECTS) is a tool to assess early ischemic changes in acute stroke patients and found to be superior when applied to contrast-based image modalities. We hypothesized that automated ASPECTS scores have no differences with the manual scoring. We generated time-invariant CTA (tiCTA) from CT Perfusion dataset and measured the ASPECTS score automatically and manually. Statistical analysis was performed to see the differences. The association of both measurements with patient outcome was measured using NIH stroke scale at admission, final infarct size, and 3-month modified Rank Scale (mRS) determined using the Spearman correlation coefficient. As a result, the difference between automated and manual ASPECT scores was statistically not significant (p=0.18). Both automated ASPECTS scores were identical in 40% of the patients for the total score. While all ASPECTS scores have limited association with outcome, our study illustrates the usability of automated ASPECTS applied on tiCTA, allowing simplification of CT workflow for acute ischemic stroke patients and promoting faster analysis.
机译:艾伯塔省卒中计划早期计算机断层扫描评分(ASPECTS)是一种评估急性卒中患者早期缺血性变化的工具,当将其应用于基于对比的图像方式时,其优越性。我们假设自动ASPECTS评分与手动评分没有差异。我们从CT灌注数据集生成了时不变CTA(tiCTA),并自动和手动测量了ASPECTS得分。进行统计分析以查看差异。使用入院时的NIH卒中量表,最终的梗塞面积和使用Spearman相关系数确定的3个月修正等级量表(mRS)来测量这两种测量结果与患者预后的关联。结果,自动和手动ASPECT评分之间的差异在统计学上不显着(p = 0.18)。在总分数中,有40%的患者的两个自动ASPECTS分数相同。尽管所有ASPECTS评分与结局之间的联系有限,但我们的研究表明,将自动ASPECTS应用于tiCTA的可用性,可以简化急性缺血性中风患者的CT工作流程并促进更快的分析。

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