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首页> 外文期刊>Neuroradiology >Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis.
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Diagnostic examination performance by using microvascular leakage, cerebral blood volume, and blood flow derived from 3-T dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging in the differentiation of glioblastoma multiforme and brain metastasis.

机译:利用多发性胶质母细胞瘤和脑转移瘤的微血管渗漏,脑血容量和由3-T动态磁化加权对比增强MR成像得出的血流进行诊断检查的性能。

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摘要

INTRODUCTION: Conventional magnetic resonance (MR) imaging has limited capacity to differentiate between glioblastoma multiforme (GBM) and metastasis. The purposes of this study were: (1) to compare microvascular leakage (MVL), cerebral blood volume (CBV), and blood flow (CBF) in the distinction of metastasis from GBM using dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging (DSC-MRI), and (2) to estimate the diagnostic accuracy of perfusion and permeability MR imaging. METHODS: A prospective study of 61 patients (40 GBMs and 21 metastases) was performed at 3 T using DSC-MRI. Normalized rCBV and rCBF from tumoral (rCBVt, rCBFt), peri-enhancing region (rCBVe, rCBFe), and by dividing the value in the tumor by the value in the peri-enhancing region (rCBVt/e, rCBFt/e), as well as MVL were calculated. Hemodynamic and histopathologic variables were analyzed statistically and Spearman/Pearson correlations. Receiver operating characteristic curve analysis was performed for each of the variables. RESULTS: The rCBVe, rCBFe, and MVL were significantly greater in GBMs compared with those of metastases. The optimal cutoff value for differentiating GBM from metastasis was 0.80 which implies a sensitivity of 95%, a specificity of 92%, a positive predictive value of 86%, and a negative predictive value of 97% for rCBVe ratio. We found a modest correlation between rCBVt and rCBFt ratios. CONCLUSION: MVL measurements in GBMs are significantly higher than those in metastases. Statistically, both rCBVe, rCBVt/e and rCBFe, rCBFt/e were useful in differentiating between GBMs and metastases, supporting the hypothesis that perfusion MR imaging can detect infiltration of tumor cells in the peri-enhancing region.
机译:简介:常规磁共振(MR)成像区分多形胶质母细胞瘤(GBM)和转移的能力有限。这项研究的目的是:(1)使用动态药敏加权对比增强灌注MR成像,比较微血管渗漏(MVL),脑血容量(CBV)和血流(CBF)区别于GBM的转移( DSC-MRI),以及(2)估计灌注和通透性MR成像的诊断准确性。方法:采用DSC-MRI在3 T时对61例患者(40 GBM和21转移)进行了前瞻性研究。将肿瘤(rCBVt,rCBFt),周围增强区域(rCBVe,rCBFe)中的rCBV和rCBF标准化,然后将肿瘤中的值除以周围增强区域中的值(rCBVt / e,rCBFt / e),如以及MVL进行了计算。对血流动力学和组织病理学变量进行统计学分析,并分析Spearman / Pearson相关性。对每个变量进行接收器工作特性曲线分析。结果:与转移灶相比,GBMs中的rCBVe,rCBFe和MVL明显更高。用于区分GBM和转移的最佳临界值为0.80,这意味着rCBVe比的敏感性为95%,特异性为92%,阳性预测值为86%,阴性预测值为97%。我们发现rCBVt和rCBFt比率之间存在适度的相关性。结论:GBMs中的MVL测量值显着高于转移中的MVL测量值。从统计学上讲,rCBVe,rCBVt / e和rCBFe,rCBFt / e均可用于区分GBM和转移,支持了灌注MR成像可以检测周围增强区域肿瘤细胞浸润的假设。

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