Xie Yan, Li Shihui, Shen Nanxi, Gan Tongjia, Zhang Shun, Liu Weiyin Vivian, Zhu Wenzhen
Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Magnetic Resonance Research, General Electric Healthcare, Beijing, China.
Front Neurosci. 2021 Nov 22;15:783361. doi: 10.3389/fnins.2021.783361. eCollection 2021.
To compare the efficacy of parameters from multiple diffusion magnetic resonance imaging (dMRI) for prediction of isocitrate dehydrogenase 1 (IDH1) genotype and assessment of cell proliferation in gliomas. Ninety-one patients with glioma underwent diffusion weighted imaging (DWI), multi--value DWI, and diffusion kurtosis imaging (DKI)/neurite orientation dispersion and density imaging (NODDI) on 3.0T MRI. Each parameter was compared between IDH1-mutant and IDH1 wild-type groups by Mann-Whitney test in lower-grade gliomas (LrGGs) and glioblastomas (GBMs), respectively. Further, performance of each parameter was compared for glioma grading under the same IDH1 genotype. Spearman correlation coefficient between Ki-67 labeling index (LI) and each parameter was calculated. The diagnostic performance was better achieved with apparent diffusion coefficient (ADC), slow ADC (D), fast ADC (D), perfusion fraction (f), distributed diffusion coefficient (DDC), heterogeneity index (α), mean diffusivity (MD), mean kurtosis (MK), and intracellular volume fraction (ICVF) for distinguishing IDH1 genotypes in LrGGs, with statistically insignificant AUC values from 0.750 to 0.817. In GBMs, no difference between the two groups was found. For IDH1-mutant group, all parameters, except for fractional anisotropy (FA) and D, significantly discriminated LrGGs from GBMs ( < 0.05). However, for IDH1 wild-type group, only ADC statistically discriminated the two ( = 0.048). In addition, MK has maximal correlation coefficient ( = 0.567, < 0.001) with Ki-67 LI. dMRI-derived parameters are promising biomarkers for predicting IDH1 genotype in LrGGs, and MK has shown great potential in assessing glioma cell proliferation.
比较多种扩散磁共振成像(dMRI)参数预测异柠檬酸脱氢酶1(IDH1)基因型及评估胶质瘤细胞增殖的效能。91例胶质瘤患者在3.0T MRI上行扩散加权成像(DWI)、多值DWI及扩散峰度成像(DKI)/神经突方向离散度与密度成像(NODDI)。分别在低级别胶质瘤(LrGGs)和成胶质细胞瘤(GBMs)中,通过Mann-Whitney检验比较IDH1突变型和IDH1野生型组间的各参数。此外,比较相同IDH1基因型下各参数对胶质瘤分级的表现。计算Ki-67标记指数(LI)与各参数之间的Spearman相关系数。表观扩散系数(ADC)、慢速ADC(D)、快速ADC(D)、灌注分数(f)、分布扩散系数(DDC)、异质性指数(α)、平均扩散率(MD)、平均峰度(MK)和细胞内体积分数(ICVF)在区分LrGGs中IDH1基因型时诊断效能较好,AUC值在0.750至0.817之间,差异无统计学意义。在GBMs中,两组间未发现差异。对于IDH1突变型组,除各向异性分数(FA)和D外,所有参数均能显著区分LrGGs和GBMs(P<0.05)。然而,对于IDH1野生型组,只有ADC能在两者间进行统计学区分(P = 0.048)。此外,MK与Ki-67 LI的相关系数最大(r = 0.567,P<0.001)。dMRI衍生参数有望成为预测LrGGs中IDH1基因型的生物标志物,且MK在评估胶质瘤细胞增殖方面显示出巨大潜力。