Literature DB >> 20116191

Complex cystic lesions of the breast on ultrasonography: feature analysis and BI-RADS assessment.

Hsian-He Hsu1, Jyh-Cherng Yu, Herng-Sheng Lee, Wen-Chiung Lin, Wei-Chou Chang, Ho-Jui Tung, Guo-Shu Huang, Giu-Cheng Hsu.   

Abstract

PURPOSE: To analyze the features of breast complex cystic lesions at ultrasonography (US) and to determine appropriate Breast Imaging Reporting and Data System (BI-RADS) categories and management recommendations for these lesions based on US findings with pathologic correlation.
MATERIALS AND METHODS: From July 2001 to June 2007, 152 consecutive pathologically proven complex cystic lesions on US were retrospectively reviewed. All lesions at US were evaluated for size, lesion characteristics, margins, and presence of abnormal axillary nodes. US features of lesions were classified into four types, and positive predictive values (PPVs) were calculated for each type. Clinical, imaging, and histopathological findings were reviewed.
RESULTS: Of the 152 lesions based on US appearance, 36 (24%) were classified as type I, 49 (32%) as type II, 28 (18%) as type III, and 39 (26%) as type IV. The PPVs for malignancy in each type were 14% for type I, 16% for type II, 14% for type III, and 41% for type IV. There was a significantly higher frequency of malignancy among lesions of type IV compared with the other three types (16/39=41% vs 5/36=14%, p=0.0089; 16/39=41% vs 8/49=16%, p=0.0098; and 16/39=41% vs 4/28=14%, p=0.018 [Chi-squared test]). Lesions with maximum diameter equal to or larger than 20mm, not circumscribed margins, or a mammographic finding of suspected malignancy had a high probability of malignancy (p<0.05 for each).
CONCLUSION: US is useful in evaluating the complex cystic lesions and in clarifying the indication for biopsy of these lesions. The four types of US classifications used in our study establish accepted benchmarks for these breast abnormalities when stratified according to BI-RADS categories.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20116191     DOI: 10.1016/j.ejrad.2009.12.037

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


  3 in total

1.  Virtual touch tissue imaging and quantification: value in malignancy prediction for complex cystic and solid breast lesions.

Authors:  Ying Zhang; Chong-Ke Zhao; Xiao-Long Li; Ya-Ping He; Wei-Wei Ren; Cai-Ping Zou; Yue-Wu Du; Hui-Xiong Xu
Journal:  Sci Rep       Date:  2017-08-10       Impact factor: 4.379

2.  A highly aggressive invasive ductal carcinoma from a complex cystic breast mass and BI-RADS assessment: A case report.

Authors:  Yixuan Li; Yulan Peng; Xin He
Journal:  Medicine (Baltimore)       Date:  2018-12       Impact factor: 1.817

3.  Cystic breast lesions by conventional ultrasonography: sonographic subtype-pathologic correlation and BI-RADS Assessment.

Authors:  Man Chen; Wei Wei Zhan; Wen Ping Wang
Journal:  Arch Med Sci       Date:  2014-02-23       Impact factor: 3.318

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.