国家神经系统疾病临床医学研究中心数据管理与共享系统

Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Quantitative Assessment of Invasion o High-Grade Gliomas Using Diffusion Tensor Magnetic Resonance Imaging

第一作者:Hou Zonggang

通讯作者:Xie Jian

Diffusion tensor imaging; High-grade gliomas; Inva

基本信息

  • 负责人:Hou Zonggang
  • 数据来源: OTHERS
  • 论文编号:OTHERS20190741
  • 发表时间:2018-02-23

2018-02-23

已发表文章

发表杂志:World Neurosurgery

发表类型: Article

影响因子(IF): 2.104

PMID: 29482009-1 Pubmed原文链接 全文下载

主要研究背景及目的

方法

This study included 14 patients with HGG and preoperative magnetic resonance imaging and diffusion tensor imaging examinations. Three regions of interest were placed. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values of these regions of interest were measured, and specimens from the 3 regions of interest were obtained under navigation guidance. Postoperative examinations of specimens were carried out. Correlations between ADC and FA values and tumor cell density were evaluated.

结论

We verified the heterogeneity of HGG and its surrounding area and found that patients with extensive resection may have longer survival. We also found a few formulas using FA and ADC values to predict tumor cell density.

主要结果

Median survival was 36.7 months. As distance from the tumor increased, the number of tumor cells significantly decreased. Regarding levels of matrix metalloproteinase-9 and Ki-67, only the differences between tumor and distances of 1 cm and 2 cm away from the tumor were statistically significant. For analysis of the relationship between tumor cell density and ADC and FA values, the discriminant formulas were as follows: G1 = -13.678 + 14984.791 (X) + 14443.847 (Y) (tumor cell density ≥10%); G2 = -11.649 + 14443.847 (X) + 33.285 (Y) (tumor cell density <10%).