Department of Radiology and Duke Multi-Dimensional Image Processing Laboratory, Duke University Medical Center, Box 3808, Durham, NC 27710, USA.
Radiology. 2013 Mar;266(3):801-11. doi: 10.1148/radiol.12120278. Epub 2012 Dec 6.
To test the reproducibility of model-derived quantitative and semiquantitative pharmacokinetic parameters among various commercially available perfusion analysis solutions for dynamic contrast material-enhanced (DCE) magnetic resonance (MR) imaging.
The study was institutional review board approved and HIPAA compliant, with waiver of informed consent granted. The study group consisted of 15 patients (mean age, 44 years; range, 28-60 years), with 15 consecutive 1.5-T DCE MR imaging studies performed between October 1, 2010, and December 27, 2010, prior to uterine fibroid embolization. Studies were conducted by using variable-flip-angle T1 mapping and four-dimensional, time-resolved MR angiography with interleaved stochastic trajectories. Images from all DCE MR imaging studies were postprocessed with four commercially available perfusion analysis solutions by using a Tofts and Kermode model paradigm. Five observers measured pharmacokinetic parameters (volume transfer constant [K(trans)], v(e) [extracellular extravascular volume fraction], k(ep)[K(trans)/v(e)], and initial area under the gadolinium curve [iAUGC]) three times for each imaging study with each perfusion analysis solution (between March 13, 2011, and September 8, 2011) by using two different region-of-interest methods, resulting in 1800 data points.
After normalization of data output, significant differences in mean values were found for the majority of perfusion analysis solution combinations. The within-subject coefficient of variation among perfusion analysis solutions was 48.3%-68.8% for K(trans), 37.2%-60.3% for k(ep), 27.7%-74.1% for v(e), and 25.1%-61.2% for iAUGC. The intraclass correlation coefficient revealed only poor to moderate consistency among pairwise perfusion analysis solution comparisons (K(trans), 0.33-0.65; k(ep), 0.02-0.81; v(e), -0.03 to 0.72; and iAUGC, 0.47-0.78).
A considerable variability for DCE MR imaging pharmacokinetic parameters (K(trans), k(ep), v(e), iAUGC) was found among commercially available perfusion analysis solutions. Therefore, clinical comparability across perfusion analysis solutions is currently not warranted. Agreement on a postprocessing standard is paramount prior to establishing DCE MR imaging as a widely incorporated biomarker.
测试各种市售灌注分析解决方案在动态对比增强(DCE)磁共振成像中的模型衍生的定量和半定量药代动力学参数的再现性。
该研究得到了机构审查委员会的批准,并符合 HIPAA 规定,同意豁免知情同意。研究组包括 15 名患者(平均年龄 44 岁;范围,28-60 岁),在 2010 年 10 月 1 日至 12 月 27 日期间进行了 15 次连续的 1.5-T DCE 磁共振成像研究,用于子宫纤维瘤栓塞术之前。研究使用可变翻转角 T1 映射和四维、时间分辨磁共振血管造影与交错随机轨迹进行。所有 DCE 磁共振成像研究的图像均使用四种市售的灌注分析解决方案进行后处理,采用 Tofts 和 Kermode 模型范例。五位观察者在 2011 年 3 月 13 日至 2011 年 9 月 8 日之间使用两种不同的感兴趣区方法,对每个灌注分析解决方案的每个成像研究进行了三次测量,共进行了 1800 次数据点测量,测量了药代动力学参数(容积转移常数 [K(trans)]、v(e)[细胞外细胞外体积分数]、k(ep)[K(trans)/v(e)]和初始钆曲线下面积 [iAUGC])。
在对数据输出进行归一化后,发现大多数灌注分析解决方案组合的平均值存在显著差异。灌注分析解决方案之间的个体内变异系数为 K(trans)的 48.3%-68.8%,k(ep)的 37.2%-60.3%,v(e)的 27.7%-74.1%和 iAUGC 的 25.1%-61.2%。组内相关系数仅显示出配对灌注分析解决方案比较之间的一致性较差(K(trans),0.33-0.65;k(ep),0.02-0.81;v(e),-0.03 至 0.72;iAUGC,0.47-0.78)。
在各种市售的灌注分析解决方案中,DCE 磁共振成像药代动力学参数(K(trans)、k(ep)、v(e)、iAUGC)存在相当大的可变性。因此,目前不能保证不同灌注分析解决方案之间的临床可比性。在将 DCE 磁共振成像确立为广泛应用的生物标志物之前,达成后处理标准至关重要。