• 1. Department of Ultrasound, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, 450014, P.R.China;
  • 2. Department of Physical Examination, Health Management Institute of Xinjiang Medical University, Urumuqi, 830054, P.R.China;
  • 3. Operating Room, People's Hospital of Zhecheng County, Shangqiu, 476200, P.R.China;
  • 4. Ultrasound Diagnosis Medicine Center, The First Affiliated Hospital of Xinjiang Medical University, Urumuqi, 830054, P.R.China;
LU Xuefeng, Email: luxuefeng2011@163.com
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ObjectiveTo systematically review the diagnostic value of the ultrasonographic elastography in the differential diagnosis of axillary lymph nodes in breast cancer.MethodsWe electronically searched the databases including The Cochrane Library, PubMed, CNKI, WanFang Data, VIP, MedaLink and CBM for studies about diagnostic value of the ultrasonographic elastography in the differential diagnosis of axillary lymph nodes in breast cancer from inception to October 2016. Two reviewers independently screened literature, extracted data and assessed the risk of bias of the included studies. Then meta-analysis was performed using MetaDisc 1.4 software.ResultsA total of 9 studies involving 735 lymph nodes were included. The results of meta-analysis showed that, the pooled sensitivity, pooled specificity, pooled positive likelihood ratio, pooled negative likelihood ratio and DOR were 0.82 (95%CI 0.78 to 0.86), 0.76 (95%CI 0.72 to 0.81), 3.32 (95%CI 2.57 to 4.27), 0.25 (95%CI 0.20 to 0.31), and 14.77 (95%CI 10.20 to 21.38), respectively. The AUC of the SROC curve was 0.8741.ConclusionUltrasonographic elastography has high sensitivity and specificity in the differential diagnosis of axillary lymph nodes in breast cancer, which indicates that it can be used to diagnosis axillary lymph nodes in breast cancer.

Citation: ZHANG Xiaoguang, ZHANG Yu, ZHANG Xiaoli, LU Xuefeng, ZHEN Yanhua, TIELIEWUHAN Nadire. Diagnostic value of ultrasonographic elastography in the differential diagnosis of axillary lymph nodes in breast cancer: a systematic review. Chinese Journal of Evidence-Based Medicine, 2017, 17(8): 915-920. doi: 10.7507/1672-2531.201610074 Copy

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