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Early (72-Hour) detection of radiotherapy-induced changes in an experimental tumor model using diffusion-weighted imaging, diffusion tensor imaging, and Q-space imaging parameters : A comparative study.

机译:早期(72小时)使用扩散加权成像,扩散张量成像和Q空间成像参数在实验性肿瘤模型中检测放疗引起的变化:一项比较研究。

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摘要

PURPOSE: To assess and compare the potential of various diffusion-related magnetic resonance imaging (MRI) parameters to detect early radiotherapy (RT)-induced changes in tumors. MATERIALS AND METHODS: Nineteen tumors in a rat model were imaged on a clinical 3T system before and 72 hours after a single RT session. Diffusion imaging was performed using an echo planar sequence containing 16 b-factors and six gradient directions. This allowed us to perform a tensor analysis of mono- and biexponential decays and a q-space analysis. Parametric maps (both trace and fractional anisotropy) were reconstructed for: 2-point apparent diffusion coefficient (ADC), 16-point ADC, biexponential amplitudes and ADCs, and height, width, and kurtosis of the probability density function (PDF). A texture analysis yielded quantities such as average and contrast. The sensitivity of diffusion-related parameters was quantified in terms of the mean relative difference (when comparing pre- and post-RT status). RESULTS: Traces and anisotropies display differences in response to RT. Average traces are most sensitive for ADCs and kurtosis. Average anisotropies are all very sensitive except the slow biexponential component. The best contrast (traces) was found for the ADCs and the width of the PDF. CONCLUSION: ADC performed well, but high b-values analysis added extra sensitive parameters for monitoring early RT-induced changes. J. Magn. Reson. Imaging 2011;. © 2011 Wiley-Liss, Inc.
机译:目的:评估和比较各种扩散相关磁共振成像(MRI)参数检测早期放疗(RT)引起的肿瘤变化的潜力。材料与方法:在一个3T系统上,在单个RT疗程之前和之后72小时,在大鼠模型中对19个肿瘤进行了成像。使用包含16个b因子和六个梯度方向的回波平面序列进行扩散成像。这使我们能够执行单指数和双指数衰减的张量分析以及q空间分析。重构了参数图(迹线和分数各向异性):2点视在扩散系数(ADC),16点ADC,双指数幅度和ADC,以及概率密度函数(PDF)的高度,宽度和峰度。纹理分析产生了诸如平均值和对比度之类的量。扩散相关参数的敏感性通过平均相对差异(比较RT前后的状态)进行量化。结果:痕迹和各向异性显示对RT的响应差异。平均迹线对ADC和峰度最敏感。除慢双指数分量外,平均各向异性都非常敏感。找到了ADC和PDF宽度的最佳对比度(迹线)。结论:ADC表现良好,但高b值分析增加了额外的敏感参数,用于监测RT引起的早期变化。 J.Magn。雷森成像2011 ;。 ©2011 Wiley-Liss,Inc.

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