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Blood-Brain Barrier Permeability of Normal Appearing White Matter in Patients with Vestibular Schwannoma:A New Hybrid Approach for Analysis of T1W DCE-MRI

机译:前庭神经鞘瘤患者正常出现白质的血脑屏障通透性:一种新的T1W DCE-mRI分析方法

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摘要

Purpose To develop and assess a “hybrid” method that combines a first-pass analytical approach and the Patlak plot (PP) to improve assessment of low blood–brain barrier permeability from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) data. Materials and Methods Seven patients with vestibular schwannoma were enrolled. T1-W DCE imaging was acquired on a 1.5T scanner. Normal-appearing white matter (NAWM) was divided into four regions of interest (ROIs) based on the magnitude of changes in longitudinal relaxation rate (ΔR1) after gadolinium administration. Kinetic analysis of ROI-averaged contrast agent concentration curves was performed using both the conventional PP and the hybrid method. Computer simulated uptake curves that resemble those from NAWM were analyzed with both methods. Percent deviations (PD) of the “measured” values from the “true” values were calculated to evaluate accuracy and precision of the two methods. Results The simulation showed that, at a noise level of 4% (a noise level similar to the in vivo data) and using a signal intensity (SI) averaging scheme, the new hybrid method achieved a PD of 0.9 ± 2.7% for vp, and a PD of –5.4 ± 5.9% for Ktrans. In comparison, the PP method obtained a PD of 3.6 ± 11.3% for vp, and –8.3 ± 12.8% for Ktrans. One-way analyses of variance (ANOVAs) showed significant variations from the four WM regions (P < 10−15 for ΔR1; P < 10−6 for Ktrans; P < 10−4 for vp). Conclusion Both computer simulation and in vivo studies demonstrate improved reliability in vp and Ktrans estimates with the hybrid method.
机译:目的开发和评估一种“混合”方法,该方法结合了首过分析方法和Patlak图(PP),以改善从动态对比增强(DCE)磁共振成像(MRI)数据对低血脑屏障通透性的评估。材料与方法纳入7例前庭神经鞘瘤患者。在1.5T扫描仪上获取T1-W DCE成像。根据施用g后纵向弛豫率(ΔR1)的变化幅度,正常出现的白质(NAWM)分为四个感兴趣区域(ROI)。使用常规PP和混合方法对ROI平均造影剂浓度曲线进行动力学分析。两种方法均分析了类似于NAWM的计算机模拟吸收曲线。计算“测量”值与“真实”值的百分比偏差(PD),以评估这两种方法的准确性和精密度。结果仿真结果表明,在4%的噪声水平(类似于体内数据的噪声水平)下,采用信号强度(SI)平均方案,新的混合方法对vp的PD达到了0.9±2.7%,而Ktrans的PD为–5.4%±5.9%。相比之下,PP法对vp的PD为3.6±±11.3%,对Ktrans的PD为–8.3±±12.8%。单向方差分析(ANOVA)显示来自四个WM区域的显着变化(对于ΔR1,P <10-15;对于Ktrans,P <10-6;对于vp,P <10-4)。结论计算机仿真和体内研究均表明,使用混合方法可以提高vp和Ktrans估计的可靠性。

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