Dallery F, Bouzerar R, Michel D, Attencourt C, Promelle V, Peltier J, Constans J M, Balédent O, Gondry-Jouet C
Department of Radiology, University Hospital, Amiens, France.
Department of Imaging and Biophysics, University Hospital, Amiens, France.
Neuroradiology. 2017 Nov;59(11):1143-1153. doi: 10.1007/s00234-017-1917-9. Epub 2017 Aug 31.
The use of DSC-MR imaging in pediatric neuroradiology is gradually growing. However, the number of studies listed in the literature remains limited. We propose to assess the perfusion and permeability parameters in pediatric brain tumor grading.
Thirty children with a brain tumor having benefited from a DSC-MR perfusion sequence have been retrospectively explored. Relative CBF and CBV were computed on the ROI with the largest lesion coverage. Assessment of the lesion's permeability was also performed through the semi-quantitative PSR parameter and the K2 model-based parameter on the whole-lesion ROI and a reduced ROI drawn on the permeability maps. A statistical comparison of high- and low-grade groups (HG, LG) as well as a ROC analysis was performed on the histogram-based parameters.
Our results showed a statistically significant difference between LG and HG groups for mean rCBV (p < 10), rCBF (p < 10), and for PSR (p = 0.03) but not for the K2 factor (p = 0.5). However, the ratio K2/PSR was shown to be a strong discriminating factor between the two groups of lesions (p < 10). For rCBV and rCBF indicators, high values of ROC AUC were obtained (> 0.9) and mean value thresholds were observed at 1.07 and 1.03, respectively. For K2/PSR in the reduced area, AUC was also superior to 0.9.
The implementation of a dynamic T2* perfusion sequence provided reliable results using an objective whole-lesion ROI. Perfusion parameters as well as a new permeability indicator could efficiently discriminate high-grade from low-grade lesions in the pediatric population.
DSC-MR成像在儿科神经放射学中的应用正在逐渐增加。然而,文献中列出的研究数量仍然有限。我们建议评估儿科脑肿瘤分级中的灌注和渗透性参数。
回顾性研究了30例受益于DSC-MR灌注序列的脑肿瘤患儿。在覆盖病变最大的ROI上计算相对CBF和CBV。还通过半定量PSR参数以及基于K2模型的参数在全病变ROI和渗透性图上绘制的缩小ROI上评估病变的渗透性。对高级别和低级别组(HG,LG)进行基于直方图的参数的统计比较以及ROC分析。
我们的结果显示,LG组和HG组之间的平均rCBV(p < 0.01)、rCBF(p < 0.01)和PSR(p = 0.03)存在统计学显著差异,但K2因子无差异(p = 0.5)。然而,K2/PSR比值被证明是两组病变之间的一个强有力的鉴别因素(p < 0.01)。对于rCBV和rCBF指标,获得了较高的ROC AUC值(> 0.9),平均阈值分别为1.07和1.03。对于缩小区域的K2/PSR,AUC也优于0.9。
使用客观的全病变ROI实施动态T2*灌注序列可提供可靠的结果。灌注参数以及一种新的渗透性指标可以有效地区分儿科人群中的高级别和低级别病变。