Suppr超能文献

使用320排计算机断层扫描通过计算机断层扫描灌注预测脑血管储备能力

Prediction of cerebrovascular reserve capacity by computed tomography perfusion using 320-row computed tomography.

作者信息

Takahashi Satoshi, Tanizaki Yoshio, Kimura Hiroaki, Akaji Kazunori, Kano Tadashige, Suzuki Kentaro, Takayama Youhei, Kanzawa Takao, Shidoh Satoka, Nakazawa Masaki, Yoshida Kazunari, Mihara Ban

机构信息

Department of Neurosurgery, Institute of Brain and Blood Vessels, Mihara Memorial Hospital, Isesaki, Gunma, Japan; Department of Neurosurgery, Keio University, School of Medicine, Shinjuku, Tokyo, Japan.

Department of Neurosurgery, Institute of Brain and Blood Vessels, Mihara Memorial Hospital, Isesaki, Gunma, Japan.

出版信息

J Stroke Cerebrovasc Dis. 2015 May;24(5):939-45. doi: 10.1016/j.jstrokecerebrovasdis.2014.12.010. Epub 2015 Mar 25.

Abstract

BACKGROUND

Acetazolamide loading has been the "gold standard" for evaluating cerebrovascular reserve capacity (CVRC). However, life-threatening side effects of acetazolamide have recently been reported. The aim of the study was to identify alternative methods for evaluating CVRC.

METHODS

We reviewed 6 patients who underwent both computed tomography perfusion (CTP) imaging and xenon CT (XeCT) imaging with and without acetazolamide loading during the same periods. The data were obtained as volume data using 320-row CT and applied to the automated region of interest-determining software and converted to standardized images. Correlations between CVRC and CTP parameters were analyzed by Pearson correlation coefficient analysis, and simple regression was used to assess the relationship between the data. When statistically significant, correlation between CVRC and any CTP data is identified, and cutoff points for CVRC 30% and 10% were calculated with receiver operating characteristic curves.

RESULTS

Of 4 CTP parameters evaluated, statistically significant correlations were observed between time to peak (TTP) by CTP and CVRC (P < .0001, r = -.7228) calculated from XeCT. The regression line using CVRC as outcome variable (y) and using TTP as predictor variable (x) was y = -9.062x + 140.1. The cutoff value for the TTP for CVRC less than 10% was 12.56 seconds (sensitivity of 86% and specificity of 85%) and that for CVRC less than 30% was 9.34 seconds (sensitivity of 77% and specificity of 96%).

CONCLUSIONS

TTP calculated from CTP data correlated well with the CVRC calculated from XeCT data. These results suggest that TTP calculated from CTP could be used to estimate CVRC in patients with occlusive cardiovascular disease.

摘要

背景

乙酰唑胺负荷试验一直是评估脑血管储备能力(CVRC)的“金标准”。然而,近期有报道称乙酰唑胺存在危及生命的副作用。本研究的目的是确定评估CVRC的替代方法。

方法

我们回顾了6例在同一时期内接受了计算机断层扫描灌注(CTP)成像和氙CT(XeCT)成像的患者,其中部分检查在使用乙酰唑胺负荷的情况下进行,部分未使用。数据通过320排CT以容积数据形式获取,并应用于自动感兴趣区域确定软件,然后转换为标准化图像。通过Pearson相关系数分析来分析CVRC与CTP参数之间的相关性,并使用简单回归来评估数据之间的关系。当具有统计学意义时,确定CVRC与任何CTP数据之间的相关性,并通过受试者工作特征曲线计算CVRC 30%和10%时的截断点。

结果

在评估的4个CTP参数中,CTP的达峰时间(TTP)与通过XeCT计算得出的CVRC之间存在显著的统计学相关性(P <.0001,r = -.7228)。以CVRC作为结果变量(y)、TTP作为预测变量(x)的回归线为y = -9.062x + 140.1。CVRC低于10%时TTP的截断值为12.56秒(敏感性为86%,特异性为85%),CVRC低于30%时TTP的截断值为9.34秒(敏感性为77%,特异性为96%)。

结论

从CTP数据计算得出的TTP与从XeCT数据计算得出的CVRC具有良好的相关性。这些结果表明,从CTP计算得出的TTP可用于估计患有闭塞性心血管疾病患者的CVRC。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验