A quantitative study of grade of gliomas by applying dynamic contrast-enhanced MR imaging technique

N. Zhang, Zhanli Hu, Xin Liu, Hairong Zheng, Yin Wu, C. Zou, B. Hou
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引用次数: 1

Abstract

Obtaining MRI parametric maps for addressing pathophysiology features rather than focusing on anatomical structures of tissues is becoming popular in quantitative study of human glioma. In Perfusion MRI, injected contrast agent may leak into the surrounding tissues of a glioma due to the breakdown of blood-brain barrier (BBB) in malignant (i.e., high grade) gliomas. As the consequence, the intensity of T1-weighted MRI signal increases during the leakage process. Based on the fact, in this paper quantitative indices including microvascular permeability were calculated by us to evaluate the histopathologic grades of gliomas by employing a T1-weighted dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) technique with 2D turbo fast low angle shot (turbo-FLASH) sequence. We presented the data analysis model of the DCE data, and the statistical analysis results from Kruskal-Wallis H-test and Mann-Whitney U-test.
动态增强磁共振成像技术对胶质瘤分级的定量研究
在胶质瘤的定量研究中,获取MRI参数图来处理病理生理特征而不是关注组织的解剖结构正变得越来越流行。在灌注MRI中,由于恶性(即高级别)胶质瘤的血脑屏障(BBB)破裂,注射的造影剂可能渗漏到胶质瘤的周围组织中。因此,在渗漏过程中,t1加权MRI信号强度增加。基于此,本文采用t1加权动态对比增强磁共振成像(DCE-MRI)技术,结合二维涡轮快速低角度拍摄(turbo- flash)序列,计算微血管通透性等定量指标,评价胶质瘤的组织病理分级。我们给出了DCE数据的数据分析模型,并采用Kruskal-Wallis h检验和Mann-Whitney u检验的统计分析结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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