Planey Catherine R, Welch E Brian, Xu Lei, Chakravarthy A Bapsi, Gatenby J Christopher, Freehardt Darla, Mayer Ingrid, Meszeoly Ingrid, Kelley Mark, Means-Powell Julie, Gore John C, Yankeelov Thomas E
Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
J Magn Reson Imaging. 2009 Jul;30(1):121-34. doi: 10.1002/jmri.21812.
To assess the temporal sampling requirements needed for quantitative analysis of dynamic contrast-enhanced MRI (DCE-MRI) data with a reference region (RR) model in human breast cancer.
Simulations were used to study errors in pharmacokinetic parameters (K(trans) and v(e)) estimated by the RR model using six DCE-MRI acquisitions over a range of pharmacokinetic parameter values, arterial input functions, and temporal samplings. DCE-MRI data were acquired on 12 breast cancer patients and parameters were estimated using the native resolution data (16.4 seconds) and compared to downsampled 32.8-second and 65.6-second data.
Simulations show that, in the majority of parameter combinations, the RR model results in an error less than 20% in the extracted parameters with temporal sampling as poor as 35.6 seconds. The experimental results show a high correlation between K(trans) and v(e) estimates from data acquired at 16.4-second temporal resolution compared to the downsampled 32.8-second data: the slope of the regression line was 1.025 (95% confidence interval [CI]: 1.021, 1.029), Pearson's correlation r = 0.943 (95% CI: 0.940, 0.945) for K(trans), and 1.023 (95% CI: 1.021. 1.025), r = 0.979 (95% CI: 0.978, 0.980) for v(e). For the 64-second temporal resolution data the results were: 0.890 (95% CI: 0.894, 0.905), r = 0.8645, (95% CI: 0.858, 0.871) for K(trans), and 1.041 (95% CI: 1.039, 1.043), r = 0.970 (95% CI: 0.968, 0.971) for v(e).
RR analysis allows for a significant reduction in temporal sampling requirements and this lends itself to analyze DCE-MRI data acquired in practical situations.
评估采用参考区域(RR)模型对人类乳腺癌动态对比增强磁共振成像(DCE-MRI)数据进行定量分析所需的时间采样要求。
利用模拟研究RR模型在一系列药代动力学参数值、动脉输入函数和时间采样条件下,通过6次DCE-MRI采集估算药代动力学参数(Ktrans和ve)时的误差。对12例乳腺癌患者进行DCE-MRI数据采集,并使用原始分辨率数据(16.4秒)估算参数,然后与下采样后的32.8秒和65.6秒数据进行比较。
模拟显示,在大多数参数组合中,RR模型在时间采样低至35.6秒时,提取参数的误差小于20%。实验结果表明,与下采样后的32.8秒数据相比,16.4秒时间分辨率采集的数据估算的Ktrans和ve之间具有高度相关性:Ktrans的回归线斜率为1.025(95%置信区间[CI]:1.021,1.029),Pearson相关系数r = 0.943(95%CI:0.940,0.945);ve的回归线斜率为1.023(95%CI:1.021,1.025),r = 0.979(95%CI:0.978,0.980)。对于64秒时间分辨率的数据,结果如下:Ktrans为0.890(95%CI:0.894,0.905),r = 0.8645(95%CI:0.858,0.871);ve为1.041(95%CI:1.039,1.043),r = 0.970(95%CI:0.968,0.971)。
RR分析可显著降低时间采样要求,这有助于分析在实际情况下采集的DCE-MRI数据。