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• Clinical Article •
Diagnostic performance of diffusion weighted imaging for differentiating benign and malignant gallbladder lesions: a Meta-analysis
ZHANG Xuxia  LUO Yili  ZHANG Hao  XU Yongsheng  YUE Mengying  SUN Bixia  LU Zhongyan 

Cite this article as: Zhang XX, Luo YL, Zhang H, et al. Diagnostic performance of diffusion weighted imaging for differentiating benign and malignant gallbladder lesions: a Meta-analysis. Chin J Magn Reson Imaging, 2019, 10(9): 674-679. DOI:10.12015/issn.1674-8034.2019.09.007.


[Abstract] Objective: To evaluate the diagnostic value of diffusion weighted magnetic resonance imaging in patients with gallbladder lesions by Meta-analysis.Materials and Methods: Based on validity criteria for diagnostic research published by PubMed, EMbase, Web of Science, The Cochrane Library, CNKI, Wanfang Data, CBM and VIPfrom inception to December 2018, to search the differentiation of gallbladder lesions with diffusion weighted imaging (DWI) . Two investigators independently screened literature according to the inclusion and exclusion criteria, extracted data, and assessed the risk of bias of included studies by using the QUADAS-2 tool and Review Manager 5.3, and then Meta-analysis was conducted using Stata 12.0 software.Results: A total of 13 articles were included (8 English, 5 Chinese). The results of Meta-analysis showed that, the pooled sensitivity (Sen), specificity (Spe), positive likelihood ratio (+LR), negative likelihood ratio (-LR), diagnostic odds ratio (DOR) of DWI for differentiating benign and malignant gallbladder lesions were 0.88(95%CI, 0.78—0.94), 0.85(95%CI, 0.79—0.89), 5.84(95%CI, 3.97—8.59), 0.14(95%CI, 0.07—0.28), 41.88 (95%CI, 15.42—113.69), and the area under summary receiver operating characteristic (SROC) curve of DWI for differentiating benign and malignant gallbladder lesions is 0.93, Q*=0.86. The pooled Sen, Spe, +LR, -LR, DOR of apparent diffusion coefficient (ADC) for differentiating benign and malignant gallbladder lesions were 0.79(95%CI, 0.71—0.86), 0.93(95%CI, 0.83—0.97), 10.8(95%CI, 4.7—25.1), 0.22(95%CI, 0.16—0.32), 48(95%CI, 18—127), and the area under SROC curve of ADC for differentiating benign and malignant gallbladder lesions is 0.89, Q*=0.82 respectively.Conclusions: Diffusion weighted magnetic resonance imaging is of great accuracy in differentiating benign and malignant gallbladder lesions.
[Keywords] gallbladder neoplasms；gallbladder diseases；magnetic resonance imaging；diagnosis, differential；literature based discovery

ZHANG Xuxia The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

LUO Yili The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

ZHANG Hao* Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

XU Yongsheng The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

YUE Mengying The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

SUN Bixia The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

LU Zhongyan The First Clinical Medical College of Lanzhou University, Lanzhou 730000, China; Department of Radiology, the First Hospital of Lanzhou University, Lanzhou 730000, China

*Correspondence to: Zhang H, E-mail: zhanghao@lzu.edu.cn

Conflicts of interest   None.

Received  2019-01-03
Accepted  2019-05-18
DOI: 10.12015/issn.1674-8034.2019.09.007
Cite this article as: Zhang XX, Luo YL, Zhang H, et al. Diagnostic performance of diffusion weighted imaging for differentiating benign and malignant gallbladder lesions: a Meta-analysis. Chin J Magn Reson Imaging, 2019, 10(9): 674-679. DOI:10.12015/issn.1674-8034.2019.09.007.

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