Ho Chang Y, Supakul Nucharin, Anthony Greg, Wen Qiuting, Chen Paula, Allen Maryann, Parker Jason G, Gray Benjamin R, Chen Eric, Territo Paul R, Persohn Scott A, Kralik Stephen F, Hutchins Gary D
From the Department of Diagnostic Medicine, Dell Medical School at The University of Texas at Austin, Austin, TX, USA (C.Y.H.), Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA (N.S., G.A., Q.W., P.C., M.A., J.G.P., B.R.G., P.R.T., G.D.H.), Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA (E.C., P.R.T., S.A.P.), Stark Neuroscience Research Institute, Indiana University School of Medicine, Indianapolis, IN, USA (P.R.T., S.A.P.), and the Department of Radiology at Texas Children's Hospital, Houston, TX, USA (S.F.K.).
AJNR Am J Neuroradiol. 2024 Dec 23. doi: 10.3174/ajnr.A8635.
There are multiple MRI perfusion techniques, with limited available literature comparing these techniques in the grading of pediatric brain tumors. For efficiency and limiting scan time, ideally only one MRI perfusion technique can be used in initial imaging. We compared DSC, DCE, and IVIM along with ADC from DWI for differentiating high versus low grade pediatric brain tumors.
Presurgical MRI at a single pediatric hospital for primary brain tumor of glial, neuronal or embryonal origin including DWI, DSC, DCE, and IVIM with postsurgical histopathology results with WHO tumor grading were included. Tumor VOI was drawn on T2 weighted images registered to selected parametric maps from DWI, DSC, DCE and IVIM. Multiple Bonferroni corrected t-tests were performed on the mean tumor values for each selected parameter, including histogram analysis of 95th percentile rCBV, 5th percentile ADC and 5th percentile D, to evaluate for significance between high-and low-grade tumors. ROC analysis was performed for significant t-test results.
72 subjects were included with 36 low grade and 36 high grade tumors. T-test after Bonferroni correction yielded significant results for 5th percentile ADC (p=0.003), mean ADC (p=0.006), mean D (p=0.009), and 5th percentile D (p=0.02). Specifically, 95th percentile rCBV, mean rCBV, D*, f, and all DCE parameters were not significant for high vs low grade pediatric brain tumors after correction. Only mean rCBV was significant before but not after Bonferroni correction (p=0.04 → p=0.35).ROC analysis for the parameters with t-test significance before and after Bonferroni correction had the following AUC in descending order: 5th percentile ADC (0.791, 0.68-0.88, p<0.001), 5th percentile D (0.789, 0.68-0.88, p<0.001), mean D (0.76, 0.64-0.85, p<0.001), mean ADC (0.754,0.64-0.85, p<0.001) and mean rCBV (0.683, 0.56-0.79, p=0.004).
Perfusion parameters from IVIM, DCE, DSC were not able to significantly differentiate between high versus low grade pediatric brain tumors compared to ADC in our study. 5 percentile ADC had the best performance and can be the primary technique for grading pediatric brain tumors.
ADC = Apparent Diffusion Coefficient, DCE = Dynamic Contrast Enhancement, DSC = Dynamic Susceptibility Artifact, DWI = Diffusion Weighted Imaging, IVIM = Intravoxel Incoherent Motion, VOI = Voxel of Interest.
有多种MRI灌注技术,但比较这些技术在小儿脑肿瘤分级中的应用的文献有限。为提高效率并限制扫描时间,理想情况下在初始成像中仅可使用一种MRI灌注技术。我们比较了动态磁敏感对比增强灌注成像(DSC)、动态对比增强磁共振成像(DCE)、体素内不相干运动成像(IVIM)以及扩散加权成像(DWI)中的表观扩散系数(ADC),以鉴别小儿高级别与低级别脑肿瘤。
纳入一家儿科医院对胶质、神经或胚胎源性原发性脑肿瘤进行手术前的MRI检查,包括DWI、DSC、DCE和IVIM,并将术后组织病理学结果与世界卫生组织肿瘤分级进行对照。在与从DWI、DSC、DCE和IVIM选定的参数图配准的T2加权图像上绘制肿瘤感兴趣区(VOI)。对每个选定参数的肿瘤平均值进行多次Bonferroni校正t检验,包括第95百分位数相对脑血容量(rCBV)、第5百分位数ADC和第5百分位数扩散系数(D)的直方图分析,以评估高级别与低级别肿瘤之间的显著性差异。对显著的t检验结果进行受试者工作特征(ROC)分析。
纳入72例受试者,其中36例为低级别肿瘤,36例为高级别肿瘤。Bonferroni校正后的t检验显示,第5百分位数ADC(p = 0.003)、平均ADC(p = 0.006)、平均D(p = 0.009)和第5百分位数D(p = 0.02)有显著结果。具体而言,校正后第95百分位数rCBV、平均rCBV、灌注分数(D*)、灌注系数(f)以及所有DCE参数在小儿高级别与低级别脑肿瘤之间无显著差异。仅平均rCBV在Bonferroni校正前有显著性差异,校正后无显著性差异(p = 0.04 → p = 0.35)。对Bonferroni校正前后有t检验显著性的参数进行ROC分析,AUC按降序排列如下:第5百分位数ADC(0.791,0.68 - 0.88,p < 0.001)、第5百分位数D(0.789,0.68 - 0.88,p < 0.001)、平均D(0.76,0.64 - 0.85,p < 0.001)、平均ADC(0.754,0.64 - 0.85,p < 0.001)和平均rCBV(0.683,0.56 - 0.79,p = 0.004)。
在我们的研究中,与ADC相比,IVIM、DCE、DSC的灌注参数不能显著区分小儿高级别与低级别脑肿瘤。第5百分位数ADC表现最佳,可作为小儿脑肿瘤分级的主要技术。
ADC = 表观扩散系数,DCE = 动态对比增强,DSC = 动态磁敏感伪影,DWI = 扩散加权成像,IVIM = 体素内不相干运动,VOI = 感兴趣区