Reproducibility of dynamic contrast-enhanced MRI in human muscle and tumours: comparison of quantitative and semi-quantitative analysis
Reproducibility of dynamic contrast-enhanced MRI in human muscle and tumours: comparison of quantitative and semi-quantitative analysis
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DOI：
10.1002/nbm.731
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发表时间：
2002-04-01
影响因子：
2.9
通讯作者：
Padhani, AR
中科院分区：
文献类型：
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作者：
Galbraith, SM;Lodge, MA;Padhani, AR
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。和整个感兴趣区域（ROI）的像素分析。21例患者，，在一周内进行了配对的MRI检查，肿瘤类型的范围。其中16对可评价。在第三个基线数据点后静脉推注钆喷酸葡胺，每11.9秒获得一次30个T-1加权扰相梯度回波图像的动态系列之前，获得质子密度加权图像。在每对检查中，由同一观察者绘制整个肿瘤周围和骨骼肌中相同的ROI，并用于再现性分析。半定量参数，梯度、增强和AUC（曲线下面积）从组织增强曲线导出。定量参数（K-transs，k（cp），v（c））通过应用Tofts模型获得。对整个ROI的平均数据和ROI内单个像素的中值进行分析。检查之间无参数显示显著变化，对于除K-transs外的所有参数，变异性不依赖于参数值。因此，重要性所需的变化大小的绝对值应用于将来的参考，而不是百分比。在一组16例肿瘤中，K-transs、k（cp）和v（c）的显著性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）。-16至+/-19% +/-0.23 ml/ml/min（16%）和+/-1.9 ml/ml（6%）（全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%）。将是显着的（像素分析），对于梯度.增强和AUC，肿瘤中显著性所需的变化大小为+/-0.24（17%）。+/-0.05（6%）和+/-0.06（8%）（像素分析）。+/-0.96（68%）。+/-0.20（25%）和+/-0.22（32%）。在肌肉中，在16人的一组中，K-反式、k（cp）和v（c）的显著性所需的变化大小为-30至+44%。+/-0.81 ml/ml/min（61%）和1.7 ml/ml（13%）。为了渐变。增强和AUC分别为+/-0.09（20%）+/-0.02（8%）和+/-0.03（12%）。五（c）.增强和AUC是高度可再现的DCE-MRI参数，K-transs、k（cp）和梯度具有更大的可变性，个体中的较大变化需要具有统计学显著性，但仍然具有足够的可再现性以检测16名患者的队列中大于14-17%的变化。像素分析略微提高了再现性估计，并保留了有关空间异质性的信息。在监测治疗效果时，建议进行生殖研究。版权所有（C）2002约翰威利父子有限公司
The purpose of this studs 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 patient,, 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 I the reproducibility analysis. Semiquantitative parameter.,,, gradient, enhancement and AUC (area under the curve) were derived from tissue enhancement curves. Quantitative parameters (K-trans, k(cp), v(c)) 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 examination,,, 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(cp) and v(c) 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(cp) and v(c) 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(c). enhancement and AUC are highly reproducible DCE-MRI parameters, K-trans, k(cp) 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. Copyright (C) 2002 John Wiley Sons, Ltd.