Department of Diagnostic Imaging, University Children's Hospital Zurich, Zurich, Switzerland.
Neuroradiology. 2013 May;55(5):639-47. doi: 10.1007/s00234-013-1155-8. Epub 2013 Feb 13.
This study seeks to evaluate the diagnostic accuracy of cerebral perfusion imaging with arterial spin labelling (ASL) MR imaging in children with moyamoya disease compared to dynamic susceptibility contrast (DSC) imaging.
Ten children (7 females; age, 9.2 ± 5.4 years) with moyamoya disease underwent cerebral perfusion imaging with ASL and DSC on a 3-T MRI scanner in the same session. Cerebral perfusion images were acquired with ASL (pulsed continuous 3D ASL sequence, 32 axial slices, TR = 5.5 s, TE = 25 ms, FOV = 24 cm, matrix = 128 × 128) and DSC (gradient echo EPI sequence, 35 volumes of 28 axial slices, TR = 2,000 ms, TE = 36 ms, FOV = 24 cm, matrix = 96 × 96, 0.2 ml/kg Gd-DOTA). Cerebral blood flow maps were generated. ASL and DSC images were qualitatively assessed regarding perfusion of left and right ACA, MCA, and PCA territories by two independent readers using a 3-point-Likert scale and quantitative relative cerebral blood flow (rCBF) was calculated. Correlation between ASL and DSC for qualitative and quantitative assessment and the accuracy of ASL for the detection of reduced perfusion per territory with DSC serving as the standard of reference were calculated.
With a good interreader agreement (κ = 0.62) qualitative perfusion assessment with ASL and DSC showed a strong and significant correlation (ρ = 0.77; p < 0.001), as did quantitative rCBF (r = 0.79; p < 0.001). ASL showed a sensitivity, specificity and accuracy of 94 %, 93 %, and 93 % for the detection of reduced perfusion per territory.
In children with moyamoya disease, unenhanced ASL enables the detection of reduced perfusion per vascular territory with a good accuracy compared to contrast-enhanced DSC.
本研究旨在评估动脉自旋标记(ASL)MR 成像与动态对比磁共振成像(DSC)在儿童烟雾病中的诊断准确性。
10 名患有烟雾病的儿童(7 名女性;年龄 9.2±5.4 岁)在同一次检查中接受了 ASL 和 DSC 脑灌注成像。ASL 脑灌注图像通过 ASL(脉冲连续 3D ASL 序列,32 个轴向切片,TR=5.5s,TE=25ms,FOV=24cm,矩阵=128×128)和 DSC(梯度回波 EPI 序列,35 个 28 个轴向切片的体积,TR=2000ms,TE=36ms,FOV=24cm,矩阵=96×96,0.2ml/kg Gd-DOTA)采集。生成脑血流图。由两名独立的读者使用 3 分李克特量表对 ASL 和 DSC 图像的左、右大脑前动脉、大脑中动脉和大脑后动脉区域的灌注进行定性评估,并计算相对脑血流量(rCBF)。计算了 ASL 与 DSC 在定性和定量评估方面的相关性,以及 ASL 在检测 DSC 作为参考标准的每个区域血流灌注减少方面的准确性。
具有良好的读者间一致性(κ=0.62),ASL 和 DSC 的定性灌注评估显示出很强且显著的相关性(ρ=0.77;p<0.001),定量 rCBF 也是如此(r=0.79;p<0.001)。ASL 检测每个区域血流灌注减少的灵敏度、特异性和准确率分别为 94%、93%和 93%。
在儿童烟雾病中,与对比增强 DSC 相比,未增强的 ASL 可以以较高的准确性检测到每个血管区域的灌注减少。