Selcuk Coskun, Serkan Demircan, Gul Pamukcu Gunaydin, Karabekir Ercan
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引用次数: 0
摘要
有时,由于磁共振成像(MRI)的缺点(例如,MRI不适合心脏起搏器患者、血流动力学不稳定患者等),非对比计算机断层扫描(NCCT)是唯一可用的神经成像技术。本研究旨在探讨利用Hounsfield Unit (HU)测量对比大脑对半球对称解剖区域对急性缺血性脑卒中患者的早期诊断价值。81例缺血性脑卒中患者纳入回顾性研究。弥散加权磁共振成像(DWMRI)将梗死区定义为高信号区。然后在先前进行的计算机断层扫描中确定相同的解剖区域,并测量溶血性尿毒症中这些区域的密度。在对侧半球发现对称的解剖区域,并获得这些区域的HU测量值。比较各组梗死面积HU和正常面积HU的平均值。各患者组梗死区HU测量值(IAHUm)均显著低于对称正常区HU测量值(NAHUm) (p < 0.001)。梗死区与正常区HU测量值之比(rHU)各组间具有显著一致性(0.75,0.77,0.68)。我们的研究结果表明,比较HU测量值是缺血性脑卒中早期诊断的有效手段。我们建议这项技术可能是有用的患者当DWMRI不可用或不适合。我们进一步建议,如果计算由计算机软件自动完成,则可以更准确地使用这种技术。
Hounsfield Unit Comparison of Opposite Hemispheres in Computed Tomography for Early Diagnosis of Ischemic Stroke.
Sometimes, non-contrast computed tomography (NCCT) is the only neuroimaging technique available due to the disadvantages of magnetic resonance imaging (MRI) (e.g., MRI is not suitable for patients with a cardiac pacemaker, hemodynamically unstable patients etc.). This study aims to examine the use of Hounsfield Unit (HU) measurement comparison of symmetrical anatomical regions in opposite hemispheres of the brain for the early diagnosis of acute ischemic stroke patients. Eighty-one ischemic stroke patients were included in this retrospective study. Infarct areas were defined in diffusion-weighted magnetic resonance imaging (DWMRI) as hyperintense areas. The same anatomical regions were then identified in previously performed computed tomography, and the density of these areas in HUs was measured. Symmetrical anatomical regions were found in the opposite hemisphere, and HU measurements of these areas were obtained. The means of infarct area HU measurements and normal area HU measurements were compared between groups. The infarct area HU measurements (IAHUm) were significantly lower than the symmetrical normal area HU measurements (NAHUm) (p < 0.001) in all patient groups. The ratio of infarct to normal area HU measurements (rHU) showed remarkable consistency across groups (0.75, 0.77, 0.68). Our findings suggest that comparing HU measurements is an effective means of early diagnosis for ischemic stroke. We propose that this technique may be useful for patients when DWMRI is not available or not suitable. We further suggest that this technique can be used more accurately if the calculations are done automatically by computer software.
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