脑胶质瘤体素内不相干运动弥散加权成像与T1动态对比增强磁共振成像相关性研究

任彦; 庞浩鹏; 狄宁宁; 张家文; 邱天明; 陈宏; 刘含秋; 庄冬晓; 张泳; 徐田勇; 吴劲松; 姚振威; 冯晓源

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脑胶质瘤体素内不相干运动弥散加权成像与T1动态对比增强磁共振成像相关性研究

专题论著 | 更新时间：2025-12-15

- 脑胶质瘤体素内不相干运动弥散加权成像与T1动态对比增强磁共振成像相关性研究
- Correlative assessment of perfusion-related parameters of intravoxel incoherent motion with dynamic contrast enhancement in MR imaging of gliomas
- 肿瘤影像学 2016年25卷第3期页码：223-232
- 作者机构：
  
  1. 复旦大学附属华山医院放射科,上海,200040
  2. 复旦大学附属华山医院神经外科,上海,200040
  3. 复旦大学附属华山医院病理科,上海,200040
  4. 通用电气公司MR科研部,上海,201203
  5. 通用电气MR公司培训部,上海,201203
- 作者简介：
- 基金信息：
- DOI：
  中图分类号：
- 网络出版：2016-11-02，
  
  纸质出版：2016-11-02
- 稿件说明：
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任彦, 庞浩鹏, 狄宁宁, 等. 脑胶质瘤体素内不相干运动弥散加权成像与T1动态对比增强磁共振成像相关性研究[J]. 肿瘤影像学, 2016,25(3):223-232.

任彦,庞浩鹏,狄宁宁,等. 脑胶质瘤体素内不相干运动弥散加权成像与T1动态对比增强磁共振成像相关性研究[J]. 肿瘤影像学, 2016, 25(3): 223-232
任彦, 庞浩鹏, 狄宁宁, 等. 脑胶质瘤体素内不相干运动弥散加权成像与T1动态对比增强磁共振成像相关性研究[J]. 肿瘤影像学, 2016,25(3):223-232. DOI：

任彦,庞浩鹏,狄宁宁,等. 脑胶质瘤体素内不相干运动弥散加权成像与T1动态对比增强磁共振成像相关性研究[J]. 肿瘤影像学, 2016, 25(3): 223-232 DOI：

摘要

目的：

研究磁共振22

值eDWI(

值范围0~5 000 s/mm

)体素内不相干运动(intravoxel incoherent motion，IVIM)成像与T1动态对比增强磁共振成像(dynamic contrast enhanced MRI，DCE-MRI)评价脑胶质瘤微循环灌注的相关性。

方法：

92例手术病理证实的成人胶质瘤患者术前进行MRI、eDWI和T1 DCE-MRI。所有胶质瘤分为低级别组(low-grade glioma，LGG)(Ⅱ级)、高级别组(high-grade gliomas，HGG)(Ⅲ＋Ⅳ级)；胶质母细胞瘤组(glioblastoma multiforme，GBM)(Ⅳ级)、其他级别组(other-grade gliomas，OGG) (Ⅱ+Ⅲ级)。工作站进行eDWI和DCE-MRI后处理，抽取IVIM双指数模型灌注相关的Dfast和PF两个参数，以及DCE-MRI拟合的血管与血管外细胞外间隙(extravascular extracellular space，EES)转运常数(volume transfer constant，Ktrans)、容积分数(extravascular extracellular space volume fraction，Ve)、EES反向容积转运常数 (Kep)和血浆容积分数(fraction of plasma volume，Vp)4个参数，选取肿瘤最大层面实性区域勾画感兴趣区，测定以上参数的平均值。Dfast、PF分别与Ktrans、Ve、Vp和Kep进行Spearman相关性分析，并比较LGG与HGG、GBM与OGG组之间的差异。受试者工作操作特性(receiver operating characteristic，ROC)曲线分析不同参数对胶质瘤分级的能力。

结果：

Dfast与Ve、Vp呈中等相关(

=0.460和0.412，

0.01)，与Ktrans相关性稍弱(

=0.396，

0.01)，与Kep没有相关性；PF与Vp、Ktrans和Ve呈弱负相关(

=-0.345、- 0 . 3 2 3 和- 0 . 2 4 9 ，

均0.05)，与Kep不相关。除Kep外，其余参数在LGG与HGG、GBM与OGG之间均有显著性差异(

均0.01)。ROC曲线分析各参数鉴别HGG与LGG的能力(AUC，95%

)：Ktrans的AUC值最高，为0.808(0.717，0.899)。ROC

曲线分析各参数鉴别GBM与OGG的能力(AUC，95%

)：Dfast最高，为0.802(0.703，0.902)。

结论：

胶质瘤IVIM灌注相关参数与DCE-MRI密切相关，Dfast是无需外源性造影剂示踪的活体评价脑胶质瘤灌注的潜在标记物。

Abstract

Objective:

To study the applicable value of 22

-value (0-5 000 s/mm

) eDWI with biexponential model using the correlative analysis of incoherent intravoxel motion (IVIM) and dynamic contrast enhancement (DCE) in MR imaging of brain gliomas.

Methods:

For 92 cases with pathologically confirmed gliomas

the combined protocol of conventional MRI

DWI

eDWI

DCE-MRI was performed. The following parameters on tumor regions were measured including eDWI derived parameters ofDslow

Dfast and PF and DCE-derived parameters of volume transfer constant (Ktrans)

extravascular extracellular space volume fraction (Ve)

Kep and fraction plasma volume (Vp). According to 2007 central nervous system World Health Organization (WHO) classification

92 gliomas were classified into groups of high-grade glioma (HGG; grade Ⅲ+Ⅳ) and low-grade glioma (LGG; grade Ⅱ); glioblastoma multiforme (GBM; grade Ⅳ) and other grade glioma (OGG; grade Ⅱ+Ⅲ). Correlative analyses were performed between perfusion-related parameters of Dfast and PF and perfusion parameters of Ktrans

Vp and Kep. Meanwhile

comparisons of multiple parameters were made for HGG vs. LGG and GBM vs. OGG

as well as receiver operating characteristic (ROC) curve analyses to discriminate HGG from LGG and GBM from OGG.

Results:

Positive correlations were observed for Dfast with parameters of Ktrans

Ve and Vp with

values of 0.396

0.460 and 0.412 (all

0.01)

respectively

but no correlation between Dfast and Kep. There were negative correlations between PF and parameters of Ktrans

Ve and Vp with

values of -0.323 and -0.319

respectively

all

0.05)

and no significant correlation between PF and Kep. Other than Kep

there were significant diffe

rences for the remaining parameters between HGG and LGG

between GBM and OGG. ROC analyses showed the maximal area under curve (AUC) values of 0.808 for Ktrans to identify HGG from LGG and 0.802 for Dfast to discriminate GBM from OGG

respectively.

Conclusion:

There are close correlations between IVIM and DCE in MR imaging of tumor perfusion of brain gliomas. As a potential candidate biomarker

it is hopeful for Dfast to evaluate the characteristics of tumor microvascular perfusion without exogenous contrast tracker.

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