Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Correlation of ultrasound findings with histology, tumor grade, and biological markers in breast cancer

Authors
Kim, Sung HyunSeo, Bo KyoungLee, JuneyoungKim, Seok JinCho, Kyu RanLee, Ki YeolJe, Bo-KyungKim, Hee YoungKim, Young-SikLee, Ju-Han
Issue Date
2008
Publisher
INFORMA HEALTHCARE
Citation
ACTA ONCOLOGICA, v.47, no.8, pp.1531 - 1538
Indexed
SCIE
SCOPUS
Journal Title
ACTA ONCOLOGICA
Volume
47
Number
8
Start Page
1531
End Page
1538
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/125534
DOI
10.1080/02841860801971413
ISSN
0284-186X
Abstract
Background and purpose. Ultrasound has been used successfully to differentiate benign and malignant breast lesions. The aim of this study was to investigate the correlation between ultrasound and prognostic indicators in breast cancer such as histological type, tumor grade, and biological markers. Materials and methods. Ultrasound findings (shape, margin, orientation, boundary, echo pattern, posterior acoustic feature, and presence of calcifications) of 458 breast cancers were analyzed and correlated with the tumor type, tumor grade, and biological markers by univariate and multivariate logistic regression analyses. The biological markers were estrogen receptor, progesterone receptor, and HER-2/neu. Results. Invasive cancers displayed more frequently an irregular shape, a not parallel orientation, and a hypoechoic or complex echo pattern than carcinoma in situ cases (p < 0.05). Poorly differentiated invasive cancers had more frequently not circumscribed margins, an abrupt boundary, and a hypoechoic or complex echo pattern than moderately/well differentiated cancers (p < 0.05). Estrogen or progesterone receptor negative cancers more often displayed a hypoechoic or complex echo pattern and HER-2/neu positive cancers had more calcifications (p < 0.05). Conclusion. Ultrasound pattern is correlated with tumor type, tumor grade, and biological markers in breast cancers and it may be useful for prediction of prognosis.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > Department of Medical Science > 1. Journal Articles
Graduate School > Department of Biomedical Sciences > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Je, Bo Kyung photo

Je, Bo Kyung
College of Medicine (Department of Medical Science)
Read more

Altmetrics

Total Views & Downloads

BROWSE