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Grading of Glioma Tumors by Analysis of Minimum Apparent Diffusion Coefficient and Maximum Relative Cerebral Blood Volume

机译:通过最小表观扩散系数和最大相对脑血容量分析对脑胶质瘤肿瘤分级

摘要

Gliomas are the most common primary neoplasms of theudcentral nervous system. Relative cerebral blood volume (rCBV) couldudestimate high-grade Gliomas computed with dynamic susceptibility contrastudMR imaging which it is artificially lowered by contrast extravasation throughuda disrupted blood-brain barrier.udObjectives: Our intent was to clarify the usefulness of diffusion-weightedudmagnetic resonance imaging (DWI) and perfusion weighted magneticudresonance imaging (PWI) in the grading of Gliomas.udMaterials and Methods: Both PWI and DWI with a three-tesla scannerudinvestigated nineteen consecutive patients with Gliomas. The means of rCBVudand ADC values have been compared among the tumor groups with t-test andudROC curve analysis to determine threshold values of Gliomas grading.udResults: Mean maximum rCBV were 2.71±1.41 for low grades (I & II), andud8.14±2.58 for high grades (III & IV) Gliomas (p=0.001). Mean minimumudADC were 1.47±.46 ×103 mm2ud/s for low grades (I & II), and .47±.38×103udmm2ud/s for high grades (III & IV) Gliomas (p=0.001). We can get 0.94×103udmm2ud/s for minimum ADC and 3.85 for maximum rCBV as a difference cutoffudpoint between low and high-grade Gliomas.udConclusion: Combination of both DWI and PWI techniques, withudmeasurement of minimum ADC and maximum rCBV can be used touddistinguish between high grade and low-grade Glioma tumors.
机译:神经胶质瘤是中央神经系统最常见的原发肿瘤。相对脑血容量(rCBV)可以估算动态敏感性对比 udMR成像计算出的高级别胶质瘤,通过通过 uda破坏血脑屏障的对比渗透来人为地降低它。 ud目的:我们的目的是阐明弥散加权/磁共振成像(DWI)和灌注加权磁共振/磁共振成像(PWI)在胶质瘤的分级中。 ud材料与方法:PWI和DWI均采用三特斯拉扫描仪 ud连续研究了19例胶质瘤患者。使用t检验和 udROC曲线分析比较了肿瘤组之间的rCBV udand ADC值的平均值,以确定胶质瘤分级的阈值。 ud结果:低级别(I和II)的平均最大rCBV为2.71±1.41 ,对于高等级(III和IV)胶质瘤, ud8.14±2.58(p = 0.001)。低年级(I和II)的平均最小值 udADC为1.47±.46×103 mm2 ud / s,而高年级(III和IV)的平均最小值 udADC为.47±.38×103 udmm2 ud / s(p = 0.001)。对于低端和高级胶质瘤,我们可以得到0.94×103 udmm2 ud / s(最小ADC)和3.85(最大rCBV)之间的差异 udpoint。 ud结论:DWI和PWI技术的结合,测量最小ADC和最大rCBV可用于区分高级别和低级别胶质瘤肿瘤。

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