Vacuum-assisted breast biopsy under ultrasonographic guidance: Analysis of a 10-year experience

Seung Hyun Lee, Eun Kyung Kim, Min Jung Kim, Hee Jung Moon, Jung Hyun Yoon

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

Purpose: To determine the indications and the diagnostic accuracy of vacuum-assisted breast biopsy (VABB) under ultrasonographic (US) guidance based on a 10-year period of clinical use. Methods: This was a retrospective analysis of 2,920 breast lesions in 2,477 consecutive patients who underwent US-guided VABB between February 2002 and December 2011. The proportions of each indication for VABB were analyzed as well as the trend of its use over divided time periods. Histopathological diagnosis and the malignancy rate of the lesions with VABB were analyzed. A comparison of the pathological diagnosis of VABB and the gold standard diagnosis revealed the false negative rate, the underestimation rate, and the agreement rate. Results: Palpable lesions (44.4%), low-suspicion lesions (15.7%), high-risk lesions (12.4%), and calcifications (10.3%) were the most common indications for US-guided VABB. The malignancy rate of lesions submitted to VABB was 5.4%. The false negative rate was only 0.1%, while the underestimation rate of high-risk lesions and ductal carcinoma in situ was 3.1% and 13.8%, respectively, with a 98.7% agreement rate. Among 1,512 therapeutic VABB cases, 84.9% showed no residual or recurrent lesions on long term follow-up US for more than a year. Complications occurred in 1% of the patients without need for surgical intervention. Conclusion: US-guided VABB is an accurate and safe method that can help decision-making in the diagnostic process and can be an alternative for excisional surgery in some therapeutic circumstances.

Original languageEnglish
Pages (from-to)259-266
Number of pages8
JournalUltrasonography
Volume33
Issue number4
DOIs
Publication statusPublished - 2014 Feb 26

Bibliographical note

Publisher Copyright:
© 2014 Korean Society of Ultrasound in Medicine (KSUM).

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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