Breast Cancer Research and Treatment

, Volume 120, Issue 2, pp 469–479 | Cite as

Diagnostic value of vacuum-assisted breast biopsy for breast carcinoma: a meta-analysis and systematic review

  • Ying-Hua Yu
  • Chi LiangEmail author
  • Xi-Zi Yuan
Clinical Trial


As mammography screening has its limitation in diagnosis in breast carcinoma, minimally invasive procedures offer a better option. We conducted a systematic review to establish the overall value of Vacuum-assisted breast biopsy (VAB) for the diagnosis of breast cancer. After a review and quality assessment of 21 studies, sensitivity, specificity and other measures of accuracy of VAB for evaluating breast lesions were pooled using random-effects models. Summary receiver operating characteristic curves were used to summarize overall accuracy. Underestimate rate of atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS) were also calculated. The summary estimates for VAB in diagnosis of breast carcinoma were as follows: sensitivity, 0.981 (95% confidence interval [CI], 0.972–0.987); specificity, 0.999 (95% CI, 0.997–0.999); positive likelihood ratio (PLR), 93.84 (95% CI, 41.55–211.95); negative likelihood ratio, 0.05 (95% CI, 0.03–0.09); diagnostic odds ratio, 1891.7 (95% CI, 683.8–5233.4); underestimate rate of ADH and DCIS were 20.9% (95% CI, 0.177–0.245) and 11.2% (95% CI, 0.098–0.128), respectively. VAB is a highly sensitive and specific biopsy method for evaluating mammographically detected breast in women. To be on the safe side, the diagnosis of ADH in VAB warrants surgical excision.


Breast neoplasms Breast biopsies Accuracy Sensitivity and specificity Meta-analysis 



Area under the curve


Confidence interval


Diagnostic odds ratio




Negative likelihood ratio


Positive likelihood ratio


Quality assessment for studies of diagnostic accuracy


Relative diagnostic odds ratio


Receiver operating characteristic


Summary receiver operating characteristic



The authors wish to thank Drs. Taixiang Wu, Chiliang Chen, and Martin Flett Brown for helpful discussions.


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© Springer Science+Business Media, LLC. 2010

Authors and Affiliations

  1. 1.Department of Surgerythe Third Affiliated Hospital of Guangxi Medical UniversityNanningPeople’s Republic of China
  2. 2.Department of Surgerythe First Affiliated Hospital of Guangxi Medical UniversityNanningPeople’s Republic of China

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