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Diagnostic performance of DWI for differentiating primary central nervous system lymphoma from glioblastoma: a systematic review and meta-analysis

机译：DWI对胶质细胞瘤微分中枢神经系统淋巴瘤的诊断性能：系统评价和荟萃分析

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ObjectiveThe purpose of this meta-analysis was to evaluate the diagnostic performance of diffusion-weighted imaging (DWI) for differentiating primary central nervous system lymphoma (PCNSL) from glioblastoma (GBM).Materials and methodsA thorough search of the databases including PubMed, EMBASE, and Cochrane Library was carried out and the data acquired were up to November 1, 2017. The quality of the studies involved was evaluated using QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies, revised version). Multiple analytic values including sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the summary receiver operating characteristic (SROC) curve were calculated and pooled for the statistical analysis. The subgroup analysis was also performed to explore the heterogeneity.ResultsEight retrospective studies (461 patients with 461 lesions) were included. The pooled SEN, SPE, PLR, NLR, and DOR with 95% confidence interval (CI) were 0.82 [95% CI 0.70-0.90], 0.84 [95% CI 0.75-0.90], 4.96 [95% CI 3.20-7.69], 0.22 [95% CI 0.13-0.37], and 22.85 [95% CI 10.42-50.11], respectively. The area under the curve (AUC) given by SROC curve was 0.90 [95% CI 0.87-0.92]. The subgroup analysis indicated the slice thickness of the images (>3mm versus 3mm) was a significant factor affecting the heterogeneity. No existence of significant publication bias was confirmed with Deeks' test.ConclusionsDWI showed moderate diagnostic performance for differentiating primary central nervous system lymphoma (PCNSL) from glioblastoma (GBM). Moreover, it is of clinical significance using DWI combined with conventional MRI to differentiate PCNSL from GBM.
机译：该荟萃分析的目的目的是评估扩散加权成像（DWI）的诊断性能，用于将原发性中枢神经系统淋巴瘤（PCNS1）与胶质母细胞瘤（GBM）分化。材料和方法彻底搜索包括PUBMED，EMBASE的数据库，进行了Cochrane图书馆，并在2017年11月1日收购的数据上。涉及的研究质量使用Quadas-2（诊断准确性研究的质量评估，修订版）进行评估。包括灵敏度（SEN），特异性（SPE），正似然比（PLR），负似然比（NLR），诊断赔率比（DOR）和摘要接收器操作特征（SROC）曲线的多个分析值进行了计算并汇总统计分析。还进行了亚组分析以探索异质性。审查回顾性研究（461例461例病变患者）。具有95％置信区间（CI）的汇集的SEN，SPE，PLR，NLR和DOR为0.82 [95％CI 0.70-0.90]，0.84 [95％CI 0.75-0.90]，4.96 [95％CI 3.20-7.69] ，0.22 [95％CI 0.13-0.37]和22.85分别[95％CI 10.42-50.11]。 SROC曲线给出的曲线（AUC）下的区域为0.90 [95％CI 0.87-0.92]。亚组分析表明图像的切片厚度（> 3mm，3mm）是影响异质性的重要因素。没有存在显着出版物偏见的存在，用Deeks'Test.conclusionsdwi显示出从胶质母细胞瘤（GBM）分化原发性中枢神经系统淋巴瘤（PCNSL）的中度诊断性能。此外，使用DWI与常规MRI结合使用以将PCNS1与GBM分化的临床意义。

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  • 来源
    《Neurological sciences》 |2019年第5期|共10页
  • 作者

    Lu Xiaoyang; Xu Weilin; Wei Yuyu; Li Tao; Gao Liansheng; Fu Xiongjie; Yao Yuan; Wang Lin;

  • 作者单位

    Zhejiang Univ Affiliated Hosp 2 Sch Med Dept Neurosurg 88 Jiefang Rd Hangzhou 310009 Zhejiang;

    Zhejiang Univ Affiliated Hosp 2 Sch Med Dept Neurosurg 88 Jiefang Rd Hangzhou 310009 Zhejiang;

    Zhejiang Univ Affiliated Hosp 2 Sch Med Dept Neurosurg 88 Jiefang Rd Hangzhou 310009 Zhejiang;

    Zhejiang Univ Affiliated Hosp 2 Sch Med Dept Neurosurg 88 Jiefang Rd Hangzhou 310009 Zhejiang;

    Zhejiang Univ Affiliated Hosp 2 Sch Med Dept Neurosurg 88 Jiefang Rd Hangzhou 310009 Zhejiang;

    Zhejiang Univ Affiliated Hosp 2 Sch Med Dept Neurosurg 88 Jiefang Rd Hangzhou 310009 Zhejiang;

    Zhejiang Univ Affiliated Hosp 2 Sch Med Dept Neurosurg 88 Jiefang Rd Hangzhou 310009 Zhejiang;

    Zhejiang Univ Affiliated Hosp 2 Sch Med Dept Neurosurg 88 Jiefang Rd Hangzhou 310009 Zhejiang;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 神经病学与精神病学;
  • 关键词

    DWI; Lymphoma; Glioblastoma; Meta-analysis;

    机译：DWI;淋巴瘤;胶质母细胞瘤;META分析;

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