Literature DB >> 26466211

The importance of breast elastography added to the BI-RADS® (5th edition) lexicon classification.

Eduardo de Faria Castro Fleury1.   

Abstract

OBJECTIVE: the aim of this study was to investigate the addition of elastography to the BI-RADS® lexicon for the classification of breast lesions.
METHODS: a total of 955 consecutive patients who were subjected to breast percutaneous biopsy from January 2010 to December 2012 were retrospectively assessed. Overall, 26 patients who did not present with masses on conventional ultrasound were excluded. The patients were classified according to the fifth edition of the breast imaging and reporting data system (BI-RADS®) lexicon, which includes elastographic findings. The BI-RADS®classification is based on the same classification principles that have been suggested by the author, which classify lesions as soft, intermediate, or hard.
RESULTS: the addition of elastographic findings to the BI-RADS® lexicon improved the sensitivity (S), specificity (SP), and diagnostic accuracy (DA) of ultrasound in the assessment of breast lesions, which increased from 93.85, 72.07, and 76.64 to 95.90, 80.65, and 91.39%, respectively.
CONCLUSION: these findings suggest that the addition of elastography to the BIRADS ® lexicon will improve the SP and DA of ultrasound in the screening of breast lesions.

Entities:  

Mesh:

Year:  2015        PMID: 26466211     DOI: 10.1590/1806-9282.61.04.313

Source DB:  PubMed          Journal:  Rev Assoc Med Bras (1992)        ISSN: 0104-4230            Impact factor:   1.209


  8 in total

1.  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

2.  Clinical Data as an Adjunct to Ultrasound Reduces the False-Negative Malignancy Rate in BI-RADS 3 Breast Lesions.

Authors:  S Ackermann; C-A Schoenenberger; R Zanetti-Dällenbach
Journal:  Ultrasound Int Open       Date:  2016-07-19

3.  Application of Breast Ultrasound Elastography to Differentiate Intracapsular Collection from Silicone-Induced Granuloma of Breast Implant Capsule Complementarily to Contrast-Enhanced Breast Magnetic Resonance Imaging.

Authors:  Eduardo de Faria Castro Fleury; Ana Claudia Gianini; Veronica Ayres; Luciana C Ramalho; Decio Roveda; Vilmar Marques de Oliveira
Journal:  Breast Cancer (Auckl)       Date:  2017-11-02

4.  Evaluation of a Computer-Aided Diagnosis System in the Classification of Lesions in Breast Strain Elastography Imaging.

Authors:  Karem D Marcomini; Eduardo F C Fleury; Vilmar M Oliveira; Antonio A O Carneiro; Homero Schiabel; Robert M Nishikawa
Journal:  Bioengineering (Basel)       Date:  2018-08-09

5.  Breast elastography: diagnostic performance of computer-aided diagnosis software and interobserver agreement.

Authors:  Eduardo F C Fleury; Karem Marcomini
Journal:  Radiol Bras       Date:  2020 Jan-Feb

6.  Can strain elastography be used in reclassification of indeterminate breast lesions in BIRADS lexicon?: A prospective study.

Authors:  Dimpi Sinha; Nischal G Kundaragi; Sukrity Sharma; Sudhir K Kale
Journal:  Indian J Radiol Imaging       Date:  2021-01-13

7.  Added value of strain elastography in the characterisation of breast lesions: A prospective study.

Authors:  Dimpi Sinha; Sukrity Sharma; Nischal G Kundaragi; Sudhir Kumar Kale
Journal:  Ultrasound       Date:  2020-03-16

8.  The Feasibility of Classifying Breast Masses Using a Computer-Assisted Diagnosis (CAD) System Based on Ultrasound Elastography and BI-RADS Lexicon.

Authors:  Eduardo F C Fleury; Ana Claudia Gianini; Karem Marcomini; Vilmar Oliveira
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
  8 in total

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