脑计算机断层扫描密度分布异常值流行率的评估:峰度和四分位数统计的比较

In-Nea Wang, Hyun-Ji Kim, Eun-Ji Kim, Young-Tak Kim, Dong-Joo Kim
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引用次数: 0

摘要

本研究的目的是探讨脑CT形态密度分布与脑病理改变的关系。我们回顾性分析了221例获得性脑损伤患者的CT图像,其中正常受试者102例,异常受试者119例。导出密度分布中四分位数统计量的峰度和晶须长度,以评估密度分布的异常值程度。虽然这两个参数对CT异常均有显著性意义(p <0.001),但须长曲线下面积(AUC)高于峰度曲线下面积(AUC)(分别为0.70、0.65)。总之,在四分位数统计中,须的长度比峰度更可靠地反映出出血和水肿病变的程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of outlier prevalence of density distribution in brain computed tomography: Comparison of kurtosis and quartile statistics
The purpose of this study is to investigate the association between the morphology of the brain computed tomography (CT) density distribution and pathological change of the brain. We retrospectively analyzed CT images of 221 patients with acquired brain injury (normal subject=102 vs. abnormal subject=119), obtained during emergency department admission. The kurtosis and the length of the whisker of the quartile statistics in the density distribution were derived to assess the degree of outliers of the density distribution. Although both parameters showed significance with CT abnormality (p <0.001), the area under the curve (AUC) of length of the whisker was higher than the AUC of kurtosis (0.70, 0.65, respectively). In conclusion, the length of whisker in quartile statistics more reliably reflects the extent of hemorrhagic and edematous lesions than the kurtosis.
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