• 1. Ultrasound Diagnosis Medicine Center, The First Aiffliated Hospital of Xinjiang Medical University, Urumuqi 830054, China;2. Physical Check-ups and Health Management Center, The First Aiffliated Hospital of Xinjiang Medical University, Urumuqi 830054, China;
NadireTieliewuhan, Email: nadire607@163.com
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Objective  To systematically review the clinical value of color Doppler ultrasonic for diagnosing female breast cancer.
Methods  We electronicaaly searched the databases including The Cochrane Library (Issue 2, 2013), EMbase, PubMed, CNKI, WanFang Data, MedaLink ,VIP and CBM for diagnostic tests on breast cancer diagnosed with color Doppler ultrasonic vs. with pathological biopsy (golden criteria) from 1982 to the March, 2013. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data, and assessed the methodological quality of the included studies according to QUADAS items. The Meta-DiSc software (version 1.4) was used to conduct pooling on sensitivity, specificity, positive likelihood radio, and negative likelihood radio. Heterogeneity test was performed and the summary receiver operating characteristic curve (SROC) was drawn for area under the curve (AUC).
Results  A total of 25 studies involving 3 274 patients were included. The results of meta-analysis showed that, SPE, SEN, +LR, −LR and DOR were (0.76, 95%CI 0.74 to 0.78), (0.80, 95%CI 0.78 to 0.82), (3.58, 95%CI 2.63 to 4.87), (0.28, 95%CI 0.22 to 0.35) and (13.76, 95%CI 8.47 to 22.36), respectively. The AUC of SROC curve was 0.865 7.
Conclusion  Current evidence shows that color Doppler ultrasonic has high sensitivity (80%) and high specificity (76%) in the diagnosis of high-frequency Ultrasound. The positive rate in the breast cancer group is 13.76 times as high as that in non-breast cancer, which indicates color Doppler ultrasonic has good diagnostic value for breast cancer.

Citation: ZHANG Xiaoguang,PalidaPaerhati,ZHANG Yu,NadireTieliewuhan. Diagnostic Value of Color Doppler Ultrasonic for Female Breast Cancer: A Meta-Analysis. Chinese Journal of Evidence-Based Medicine, 2013, 13(9): 1073-1079. doi: 10.7507/1672-2531.20130184 Copy

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