Galbraith Susan M, Lodge Martin A, Taylor N Jane, Rustin Gordon J S, Bentzen Søren, Stirling J James, Padhani Anwar R
Gray Cancer Institute, Mount Vernon Hospital, Middlesex HA6 2JR, UK.
NMR Biomed. 2002 Apr;15(2):132-42. doi: 10.1002/nbm.731.
The purpose of this study was to determine the reproducibility of dynamic contrast-enhanced (DCE)-MRI and compare quantitative kinetic parameters with semi-quantitative methods, and whole region-of-interest (ROI) with pixel analysis. Twenty-one patients with a range of tumour types underwent paired MRI examinations within a week, of which 16 pairs were evaluable. A proton density-weighted image was obtained prior to a dynamic series of 30 T(1)-weighted spoiled gradient echo images every 11.9 s with an intravenous bolus of gadopentetate dimeglumine given after the third baseline data point. Identical ROIs around the whole tumour and in skeletal muscle were drawn by the same observer on each pair of examinations and used for the reproducibility analysis. Semi-quantitative parameters, gradient, enhancement and AUC (area under the curve) were derived from tissue enhancement curves. Quantitative parameters (K(trans), k(ep), v(e)) were obtained by the application of the Tofts' model. Analysis was performed on data averaged across the whole ROI and on the median value from individual pixels within the ROI. No parameter showed a significant change between examinations. For all parameters except K(trans), the variability was not dependent on the parameter value, so the absolute values for the size of changes needed for significance should be used for future reference rather than percentages. The size of change needed for significance in a group of 16 in tumours for K(trans), k(ep) and v(e) was -14 to +16%, -0.20 ml/ml/min (15%) and -1.9[?]ml/ml (6%), respectively (pixel analysis), and -16 to +19%, -0.23 ml/ml/min (16%) and +/- 1.9[?]ml/ml (6%) (whole ROI analysis). For a single tumour, changes greater than -45 to +83%, +/- 0.78 ml/ml/min (60%) and +/- 7.6 ml/ml (24%), respectively, would be significant (pixel analysis). For gradient, enhancement and AUC the size of change needed for significance in tumours was -0.24 (17%), -0.05 (6%) and -0.06 (8%), respectively for a group of 16 (pixel analysis), and +/- 0.96 (68%), +/- 0.20 (25%) and +/- 0.22 (32%) for individuals. In muscle, the size of change needed for significance in a group of 16 for K(trans), k(ep) and v(e) was -30 to +44%, +/- 0.81 ml/ml/min (61%) and +/- 1.7 ml/ml (13%). For gradient, enhancement and AUC it was +/- 0.09 (20%), +/- 0.02 (8%) and +/- 0.03 (12%). v(e), enhancement and AUC are highly reproducible DCE-MRI parameters. K(trans), k(ep) and gradient have greater variability, with larger changes in individuals required to be statistically significant, but are nevertheless sufficiently reproducible to detect changes greater than 14-17% in a cohort of 16 patients. Pixel analyses slightly improve reproducibility estimates and retain information about spatial heterogeneity. Reproducibility studies are recommended when treatment effects are being monitored.
本研究的目的是确定动态对比增强(DCE)-MRI的可重复性,并将定量动力学参数与半定量方法进行比较,同时将整个感兴趣区(ROI)与像素分析进行比较。21例患有多种肿瘤类型的患者在一周内接受了配对的MRI检查,其中16对可进行评估。在每11.9秒动态采集30幅T1加权扰相梯度回波图像之前,先获取质子密度加权图像,并在第三个基线数据点后静脉推注钆喷酸葡胺。同一位观察者在每对检查图像上围绕整个肿瘤及骨骼肌绘制相同的ROI,并用于可重复性分析。半定量参数,即梯度、强化程度和曲线下面积(AUC),由组织强化曲线得出。定量参数(Ktrans、 kep、 ve)通过应用Tofts模型获得。对整个ROI平均的数据以及ROI内各个像素的中位数进行分析。各次检查之间没有参数显示出显著变化。对于除Ktrans之外的所有参数,变异性不取决于参数值,因此未来参考时应使用具有显著意义所需变化大小的绝对值而非百分比。在一组16例肿瘤中,Ktrans、 kep和ve具有显著意义所需的变化大小分别为-14%至+16%、-0.20 ml/ml/min(15%)和-1.9[?]ml/ml(6%)(像素分析),以及-16%至+19%、-0.23 ml/ml/min(16%)和+/- 1.9[?]ml/ml(6%)(整个ROI分析)。对于单个肿瘤,变化分别大于-45%至+83%、+/- 0.78 ml/ml/min(60%)和+/- 7.6 ml/ml(24%)时具有显著意义(像素分析)。对于梯度、强化程度和AUC,一组16例肿瘤中具有显著意义所需的变化大小分别为-0.24(17%)、-0.05(6%)和-0.06(8%)(像素分析),个体分别为+/- 0.96(68%)、+/- 0.20(25%)和+/- 0.22(32%)。在肌肉中,一组16例中Ktrans、 kep和ve具有显著意义所需的变化大小分别为-30%至+44%、+/- 0.81 ml/ml/min(61%)和+/- 1.7 ml/ml(13%)。对于梯度、强化程度和AUC,分别为+/- 0.09(20%)、+/- 0.02(8%)和+/- 0.03(12%)。ve、强化程度和AUC是具有高度可重复性的DCE-MRI参数。Ktrans、 kep和梯度具有更大的变异性,个体需要有更大的变化才具有统计学显著意义,但仍具有足够的可重复性以在一组16例患者中检测出大于14%至17%的变化。像素分析略微提高了可重复性估计,并保留了有关空间异质性的信息。在监测治疗效果时建议进行可重复性研究。