Literature DB >> 23540948

Simple rules for ultrasonographic subcategorization of BI-RADS®-US 4 breast masses.

Rodrigo Menezes Jales1, Luís Otavio Sarian, Renato Torresan, Emílio Francisco Marussi, Beatriz Regina Alvares, Sophie Derchain.   

Abstract

OBJECTIVES: To evaluate an objective method for ultrasonographic (US) subcategorization of BI-RADS(®)-US 4 breast masses based on clear and simple rules in order for woman to benefit from a more complete and homogeneous breast mass analysis.
METHODS: In this cross-sectional study, we selected 330 women, with 339 US breast masses, classified as BI-RADS(®)-US 4. Three physicians experienced in breast imaging independently reviewed all US images, assessing mass shape, margins, orientation, echo texture and vascularity. These experts further subdivided the masses into subcategories 4a, 4b and 4c, according to simple US rules. Inter-observer agreement was calculated for US features categories and for final subcategory assessment. We also estimated the positive predictive value (PPV) for BI-RADS(®)-US subcategories 4a, 4b and 4c assigned by each of the three observers.
RESULTS: Pathological examination of all masses confirmed 144 (42%) malignant and 195 (58%) benign tumors. Moderate agreement was obtained for mass shape, margins, vascularity and for final BI-RADS(®)-US 4 subcategory. Substantial agreement was obtained for the description of mass orientation and echo texture. The PPV for subcategories 4a, 4b and 4c were, 17%, 45% and 85%, respectively, for the first observer and 20%, 38% and 79% and 17%, 40% and 85% for the other two observers.
CONCLUSION: Standardization of a US subcategorization of BI-RADS(®)-US 4 breast masses seems to be feasible, with substantial inter-observer agreement and progressive increase in the PPV in the subcategories 4a, 4b and 4c, provided that clear and simple classification rules are defined.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23540948     DOI: 10.1016/j.ejrad.2013.02.032

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  6 in total

1.  Can unenhanced breast MRI be used to decrease negative biopsy rates?

Authors:  Sibel Kul; Şükrü Oğuz; İlker Eyüboğlu; Özlem Kömürcüoğlu
Journal:  Diagn Interv Radiol       Date:  2015 Jul-Aug       Impact factor: 2.630

2.  Ultrasound positive predictive values by BI-RADS categories 3-5 for solid masses: An independent reader study.

Authors:  A Thomas Stavros; Andrea G Freitas; Giselle G N deMello; Lora Barke; Dennis McDonald; Terese Kaske; Ducly Wolverton; Arnold Honick; Daniela Stanzani; Adriana H Padovan; Ana Paula C Moura; Marilia C V de Campos
Journal:  Eur Radiol       Date:  2017-04-10       Impact factor: 5.315

3.  Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool.

Authors:  Mattia Di Segni; Valeria de Soccio; Vito Cantisani; Giacomo Bonito; Antonello Rubini; Gabriele Di Segni; Sveva Lamorte; Valentina Magri; Corrado De Vito; Giuseppe Migliara; Tommaso Vincenzo Bartolotta; Alessio Metere; Laura Giacomelli; Carlo de Felice; Ferdinando D'Ambrosio
Journal:  J Ultrasound       Date:  2018-04-21

4.  Comparison of clinicopathological findings among patients whose mammography results were classified as category 4 subgroups of the BI-RADS.

Authors:  Ihsan Metin Leblebici; Suleyman Bozkurt; Turgut Tunc Eren; Ibrahim Ali Ozemir; Julide Sagiroglu; Orhan Alimoglu
Journal:  North Clin Istanb       Date:  2014-08-03

Review 5.  [Radio-histological correlation of ACR4 microcalcifications in breast lesions: about 181 cases and literature review].

Authors:  Ahmed Guennoun; Yousra Krimou; Chahrazed Bouchikhi; Nisrine Mamouni; Sanaa Errarhay; Abdelaziz Banani
Journal:  Pan Afr Med J       Date:  2018-03-02

6.  Interobserver agreement in breast ultrasound categorization in the Mammography and Ultrasonography Study for Breast Cancer Screening Effectiveness (MUST-BE) trial: results of a preliminary study.

Authors:  Eun Jung Choi; Eun Hye Lee; You Me Kim; Yun-Woo Chang; Jin Hwa Lee; Young Mi Park; Keum Won Kim; Young Joong Kim; Jae Kwan Jun; Seri Hong
Journal:  Ultrasonography       Date:  2018-09-22
  6 in total

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