JOURNAL ARTICLE
Wire- and radiofrequency identification tag-guided localization of impalpable breast lesions: iBRA-NET localization study.
Published In: British Journal of Surgery, 2024, v. 111, n. 2. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Harvey, James; Morgan, Jenna; Lowes, Simon; Milligan, Robert; Barrett, Emma; Carmichael, Amtul; Elgammal, Suzanne; Masudi, Tahir; Holcombe, Chris; Masannat, Yazan; Potter, Shelley; Dave, Rajiv V; Al Numani, H; Kastora, S; Simpson, L; Lynch, R; Kleidi, E; Wignarajah, P; Johnson, L; Ledwidge, S 3 of 3
Abstract
This article reports on the iBRA-NET localization study, a large UK-based, multicentre observational cohort study comparing radiofrequency identification (RFID) tag-guided localization with traditional wire-guided localization for impalpable breast lesions prior to breast-conserving surgery. The study found that RFID localization is similarly effective and safe as wire-guided localization, with comparable lesion identification rates and complication profiles, although RFID showed a higher rate of device dislodgement during surgery. Secondary surgical outcomes, including margin positivity and re-excision rates, were largely equivalent between the two methods, suggesting that surgical outcomes may depend more on disease characteristics than localization technique. The study highlights potential logistical advantages of RFID localization, such as scheduling flexibility, while noting limitations including its observational design and lack of cost-effectiveness or patient satisfaction data.
Additional Information
- Source:British Journal of Surgery. 2024/02, Vol. 111, Issue 2, p1
- Document Type:Article
- Subject Area:Communication and Mass Media
- Publication Date:2024
- ISSN:0007-1323
- DOI:10.1093/bjs/znae007
- Accession Number:176449278
- Copyright Statement:Copyright of British Journal of Surgery is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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