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TWIST 灌注数据定量动态对比增强 MRI 在子宫肌瘤模型中的组内和组间可重复性。

Inter- and intra-rater reproducibility of quantitative dynamic contrast enhanced MRI using TWIST perfusion data in a uterine fibroid model.

机构信息

Department of Radiology, University of Michigan Health System, Ann Arbor, Michigan 48109, USA.

出版信息

J Magn Reson Imaging. 2013 Aug;38(2):329-35. doi: 10.1002/jmri.23974. Epub 2012 Dec 12.

Abstract

PURPOSE

To determine the reproducibility of TWIST-derived (Time-Resolved Angiography with Interleaved Stochastic Trajectories) quantitative dynamic contrast enhanced (DCE) MRI in a uterine fibroid model.

MATERIALS AND METHODS

The institutional review board approved this retrospective study. Dynamic contrast-enhanced TWIST datasets from 15 randomly selected 1.5 Tesla pelvic MR studies were postprocessed. Five readers recorded kinetic parameters (K(trans) [volume transfer constant], ve [extracellular extravascular space volume], kep [flux rate constant], iAUC [initial area under the gadolinium-time curve]) of the largest uterine fibroid using three region-of-interest (ROI) selection methods. Measurements were randomized and repeated three times, and measures of reproducibility were calculated.

RESULTS

The intra-rater coefficients of variation (CVs, brackets indicate 95% confidence intervals) varied from 4.6% to 7.6% (K(trans) 7.6% [6.1%, 9.1%], kep 7.2% [5.9%, 8.5%], ve 4.6% [3.8%, 5.4%], and iAUC 7.2% [6.1%, 8.3%]). ve was the most reproducible (P < 0.05). Inter-rater reproducibility was significantly (P < 0.05) greater for the large ROI method (range of intraclass correlation coefficients [ICCs] = 0.80-0.98 versus 0.48-0.63 [user-defined ROI] versus 0.41-0.69 [targeted ROI]). The uterine fibroid accounted for the greatest fraction of variance for the large ROI method (range across kinetic parameters: 83-98% versus 56-69% [user-defined ROI] versus 47-74% [targeted ROI]). The reader accounted for the greatest fraction of variance for the user-defined ROI method (0.4-14.1% versus 0.1-3.0% [large ROI] versus <0.1-1.5% [targeted ROI]).

CONCLUSION

Changes in TWIST-derived DCE-MRI kinetic parameters of up to 9-15% may be attributable to measurement error. Large DCE-MRI regions of interest are the most reproducible across multiple readers.

摘要

目的

在子宫肌瘤模型中,确定 TWIST 衍生(时分辨血管造影与交错随机轨迹)定量动态对比增强(DCE)MRI 的重现性。

材料与方法

本回顾性研究经机构审查委员会批准。对 15 例随机选择的 1.5T 盆腔磁共振研究的动态对比增强 TWIST 数据集进行了后处理。5 位读者使用 3 种感兴趣区(ROI)选择方法记录最大子宫肌瘤的动力学参数(K(trans)[容积转移常数]、ve[细胞外细胞外空间容积]、kep[通量率常数]、iAUC[初始钆时间曲线下面积])。测量结果随机重复 3 次,并计算可重复性的度量。

结果

内部观察者变异系数(CV,括号内为 95%置信区间)为 4.6%-7.6%(K(trans)7.6%[6.1%,9.1%]、kep7.2%[5.9%,8.5%]、ve4.6%[3.8%,5.4%]、iAUC7.2%[6.1%,8.3%])。ve 是最具可重复性的(P<0.05)。大 ROI 方法的观察者间可重复性明显(P<0.05)更高(范围为组内相关系数[ICC]为 0.80-0.98 与 0.48-0.63[用户定义 ROI]与 0.41-0.69[靶向 ROI])。对于大 ROI 方法,子宫肌瘤占最大变异部分(范围为动力学参数:83%-98%与 56%-69%[用户定义 ROI]与 47%-74%[靶向 ROI])。对于用户定义 ROI 方法,读者占最大变异部分(0.4%-14.1%与 0.1%-3.0%[大 ROI]与<0.1%-1.5%[靶向 ROI])。

结论

TWIST 衍生 DCE-MRI 动力学参数的变化高达 9-15%可能归因于测量误差。大的 DCE-MRI 感兴趣区在多个读者中最具可重复性。

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