Evaluation of Ultrasound-guided 8-Gauge Vacuum-assisted Excision System for the Removal of US-detectable Breast Lesions.

Vacuum-assisted excision breast cancer breast lesions lesions of uncertain malignant potential ultrasound vacuum-assisted breast biopsy

Journal

Anticancer research
ISSN: 1791-7530
Titre abrégé: Anticancer Res
Pays: Greece
ID NLM: 8102988

Informations de publication

Date de publication:
Mar 2020
Historique:
received: 12 01 2020
revised: 28 01 2020
accepted: 03 02 2020
entrez: 6 3 2020
pubmed: 7 3 2020
medline: 16 4 2020
Statut: ppublish

Résumé

To assess the ability of ultrasound (US)-guided vacuum-assisted breast excision (VAE) to remove Breast Imaging Reporting and Data System (BI-RADS) ≥3 breast lesions in order to analyze US features most frequently associated with complete excision. A total of 266 BI-RADS ≥3 lesions without microcalcifications underwent US-VAE. US-VAE and gold standard pathological results were compared. US features of lesions were analyzed. The complete excision rate was 93.61%; the VAE agreement rate was 99.62%. Circumscribed margins, regular shape, parallel orientation, and the absence of posterior features were favorable US features associated with complete excision. Lesions completely excised were: BI-RADS 3 ≤21.10 mm and BI-RADS 4 ≤18.70 mm with one unfavorable US characteristic, and BI-RADS 4 lesions ≤13.5 mm with two unfavorable US features hindered complete removal. Two atypical ductal hyperplasias (<10 mm, one unfavorable feature) and eight ductal carcinomas in situ (≤8.7 mm, one/two unfavorable features) were completely removed. US-VAE is highly accurate for diagnostic purpose and, in some cases, highly successful for complete lesion excision. This success also depends on the US characteristics and size of the lesion.

Identifiants

pubmed: 32132080
pii: 40/3/1719
doi: 10.21873/anticanres.14125
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1719-1729

Informations de copyright

Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Auteurs

Tommaso Perretta (T)

Diagnostic Imaging Unit, Policlinico Tor Vergata, Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy.

Feliciana Lamacchia (F)

Diagnostic Imaging Unit, Policlinico Tor Vergata, Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy lamacchia.feliciana@gmail.com.

Donatella Ferrari (D)

Diagnostic Imaging Unit, Policlinico Tor Vergata, Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy.

Emanuela Beninati (E)

Diagnostic Imaging Unit, Policlinico Tor Vergata, Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy.

Federica DI Tosto (F)

Diagnostic Imaging Unit, Policlinico Tor Vergata, Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy.

Vincenzo DE Stasio (V)

Diagnostic Imaging Unit, Policlinico Tor Vergata, Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy.

Rosaria Meucci (R)

Diagnostic Imaging Unit, Policlinico Tor Vergata, Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy.
Applied Medical-Surgical Sciences, Tor Vergata University of Rome, Rome, Italy.

Carla DI Stefano (C)

Diagnostic Imaging Unit, Policlinico Tor Vergata, Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy.

Oreste Claudio Buonomo (OC)

Breast Unit-Department of Surgical Science, Policlinico Tor Vergata (PTV) University, Rome, Italy.

Gianluca Vanni (G)

Breast Unit-Department of Surgical Science, Policlinico Tor Vergata (PTV) University, Rome, Italy.

Chiara Adriana Pistolese (CA)

Diagnostic Imaging Unit, Policlinico Tor Vergata, Department of Biomedicine and Prevention, Tor Vergata University of Rome, Rome, Italy.

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Classifications MeSH