Back to Search
Start Over
Complex cystic lesions of the breast on ultrasonography: feature analysis and BI-RADS assessment.
- Source :
-
European journal of radiology [Eur J Radiol] 2011 Jul; Vol. 79 (1), pp. 73-9. Date of Electronic Publication: 2010 Feb 08. - Publication Year :
- 2011
-
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.<br />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.<br />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).<br />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.<br /> (Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.)
- Subjects :
- Adolescent
Adult
Aged
Aged, 80 and over
Biopsy, Needle
Breast Diseases pathology
Breast Neoplasms diagnostic imaging
Breast Neoplasms pathology
Chi-Square Distribution
Female
Humans
Logistic Models
Middle Aged
Predictive Value of Tests
Retrospective Studies
Breast Diseases diagnostic imaging
Cysts diagnostic imaging
Ultrasonography, Mammary
Subjects
Details
- Language :
- English
- ISSN :
- 1872-7727
- Volume :
- 79
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- European journal of radiology
- Publication Type :
- Academic Journal
- Accession number :
- 20116191
- Full Text :
- https://doi.org/10.1016/j.ejrad.2009.12.037