磁共振弥散加权和钆增强成像评价胶质瘤恶性潜能

Y. Takaya, Hui Chen, Hirotomo Ten, K. Hoya, Chuan-lu Jiang, K. Oyama, Keisuke Onoda, Akira Matsuno
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引用次数: 3

摘要

目的:本研究旨在确定磁共振成像(MRI)的扩散加权成像(DWI)确定的表观扩散系数(ADC)是否有助于各种胶质瘤的恶性程度分级。方法:对60例原发性脑胶质瘤患者采用1.5T MRI扫描仪进行扩散加权和钆增强(Gd)T1加权MRI检查。基于DWI和Gd图像上的信号强度进行评分。计算平均和最小ADC值,并对每个组织学样本进行Ki-67染色,以评估其肿瘤增殖潜力。然后,分析DWI、Gd和综合评分,并与Ki-67染色指数和恶性程度进行比较。还评估了平均和最小ADC值、Ki-67染色指数和恶性分级之间的关系。结果:最小ADC与Ki-67染色指数呈负相关,最小ADC低提示肿瘤恶性。DWI上水分子扩散D评分的定性评估准确地反映了胶质瘤的病理分级,其有效性至少与使用最小ADC的定量分析一样好。Gd图像在判断胶质瘤恶性程度方面的诊断价值低于DWI。结论:磁共振成像的DWI和钆增强图像对恶性肿瘤的诊断是必不可少的。
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Evaluation of the malignant potential of gliomas using diffusion-weighted and gadolinium-enhanced magnetic resonance imaging
Objective: This study aimed to determine whether the apparent diffusion coefficients (ADCs) determined by diffusion-weighted imaging (DWI) of magnetic resonance imaging (MRI) could facilitate the malignancy grading of various gliomas. Methods: Sixty patients with a primary cerebral glioma underwent diffusion-weighted and gadolinium-enhanced (Gd) T1-weighted MRI using a 1.5-T MRI scanner. Scoring was performed based on signal intensities on DWI and Gd images. The mean and minimum ADC values were calculated, and Ki-67 staining was performed for each histological sample to evaluate their tumor proliferative potential. Then, the DWI, Gd, and combined scores were analyzed and compared with the Ki-67 staining index and malignant grade. The relationships among the mean and minimum ADC values, Ki-67 staining index, and malignant grade were also evaluated. Results: The minimum ADC was inversely correlated with the Ki-67 staining index, with a low minimum ADC suggestive of tumor malignancy. The qualitative evaluation of the D score of water molecule diffusion on DWI accurately reflected the pathological grades of gliomas, with an effectiveness that was at least as good as the quantitative analysis using the minimum ADC. The diagnostic value of Gd images in determining glioma malignancy grades was inferior to that of DWI. Conclusion: Both DWI and gadolinium-enhanced images of MRI should be considered essential for the diagnosis of tumor malignancy.
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