Diagnostic value of diffusion kurtosis imaging in differentiating high-grade glioma from solitary brain metastasis: a Meta-analysis

LONG Yongjun; ZHUO Lihua; ZHANG Hairong; LI Hongwei; LI Lingxiao; FEGN Ruohan

doi:10.19732/j.cnki.2096-6210.2019.02.008

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Diagnostic value of diffusion kurtosis imaging in differentiating high-grade glioma from solitary brain metastasis: a Meta-analysis

更新时间：2025-12-15

- Diagnostic value of diffusion kurtosis imaging in differentiating high-grade glioma from solitary brain metastasis: a Meta-analysis
- Vol. 28, Issue 2, Pages: 106-111(2019)
- 作者机构：
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- DOI：10.19732/j.cnki.2096-6210.2019.02.008
  CLC：
- Published Online：24 May 2019，
  
  Published：24 May 2019
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龙拥军,卓丽华,张海容,等. MR扩散峰度成像鉴别诊断高级别胶质瘤与单发脑转移瘤的Meta分析[J]. 肿瘤影像学, 2019, 28(2): 106-111 https://doi.

org/10.19732/j.cnki.2096-6210.2019.02.008
龙拥军,卓丽华,张海容,等. MR扩散峰度成像鉴别诊断高级别胶质瘤与单发脑转移瘤的Meta分析[J]. 肿瘤影像学, 2019, 28(2): 106-111 https://doi. DOI： 10.19732/j.cnki.2096-6210.2019.02.008.

org/10.19732/j.cnki.2096-6210.2019.02.008 DOI：

摘要

目的：

对MR扩散峰度成像（diffusion kurtosis imaging，DKI）鉴别诊断高级别胶质瘤（high-grade glioma，HGG）与单发脑转移瘤（solitary brain metastasis，SBM）的相关文献进行汇总复习，定量分析HGG、SBM肿瘤实质及肿瘤周围水肿区的平均峰度值（mean kurtosis，MK），为临床决策提供循证医学依据。

方法：

计算机检索PubMed、EMBASE、EBSCO、Cochrane Library、CNKI、CBM及维普数据库2005年1月1日2017年8月31日国内外公开发表的关于应用DKI鉴别HGG与SBM的中英文文献。由2名评价员根据纳入与排除标准独立筛选文献、提取资料，并采用QUADAS-2进行质量评价、Stata 12.0及Meta-Disc 1.4软件进行Meta分析，提取相关参数。

结果：

共纳入符合标准文献6篇，其中英文1篇，中文5篇。应用

检验和

值对结果进行异质性分析，采用对应的效应模型分析发现两组之间肿瘤实质区的MK值差异无统计学意义，而HGG组肿瘤周围水肿区MK值较SBM组高，差异有统计学意义（合并标准化均数差为1.46，95% CI：1.15~1.76；

＜0.05）。分析MK值鉴别诊断HGG与SBM的灵敏度和特异度，结果显示合并灵敏度为0.80（95% CI：0.69~0.88），特异度为0.85（95% CI：0.72~0.94），受试者工作特征（receiver operating characteristic，ROC）曲线的曲线下面积（area under curve，AUC）为0.92。

结论：

DKI中的MK值在肿瘤周围水肿区对鉴别HGG与SBM具有重要价值。

Abstract

Objective:

To explore the value of diffusion kurtosis imaging (DKI) in distinguishing high-grade glioma (HGG) from solitary brain metastasis (SBM) by reviewing the related articles

antitatively analyze the mean kurtosis (MK) values of tumor solid part and peritumoral edema

and provide basis for evidence-based medicine.

Methods:

The studies on differentiating HGG from SBM published during Jan. 2005 and Aug. 2017 were searched from the databases including PubMed

EMBASE

EBSCO

Cochrane Library

CNKI

CBM

and VIP. Two reviewers independently screened the literatures

extracted data and assessed methodological quality of the included studies by QUADAS-2 tool. Then

Meta-analysis was performed by Stata 12.0 and Meta-Disc 1.4 software to extract the relevant parameters.

Results:

A total of 6 articles were admitted

including an English article and five Chinese articles. The corresponding effect model was adopted. The results showed that there was no significant difference in MK value of tumor solid part between the two groups

but MK value in the peritumoral edema of HGG was significantly higher than that of SBM

with a standardized mean difference (SMD) of 1.46 (95% CI: 1.15-1.76

＜0.05). The pooled sensitivity of MK value in differential diagnosis of HGG and SBM was 0.80 (95% CI: 0.69-0.88)

the specificity was 0.85 (95% CI: 0.72-0.94)

and the area under receiver operating characteristic curve was 0.92.

Conclusion:

The MK value of DKI is of great value in the differential diagnosis of HGG and SBM in peritumoral edema.

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