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- Title
Contrast-Enhanced Ultrasonography Features of Breast Malignancies with Different Sizes: Correlation with Prognostic Factors.
- Authors
Zhao, Li-Xia; Liu, Hui; Wei, Qing; Xu, Guang; Wu, Jian; Xu, Hui-Xiong; Wu, Rong; Pu, Huan
- Abstract
This study was to investigate the correlation between contrast-enhanced ultrasonography (CEUS) characteristics with prognostic factors in breast cancers with different sizes. A retrospective analysis of CEUS characteristics of 104 pathologically proven malignant lesions from 104 women was conducted. Lesions were divided into two groups according to their size measured by US (Group 1: maximum diameter ≤20 mm; Group 2: maximum diameter >20 mm). Features including enhancement degree, order and pattern, enlargement of the enhancement area, and penetrating vessels on CEUS were evaluated. Pathologic prognostic factors, including estrogen and progesterone receptor status, and the expression of c-erb-B2, p53, Ki-67, and VEGF were assessed. Comparison of enhancement pattern parameters between Group 1 and Group 2 showed statistically significant differences (P<0.0001). A significant correlation was found between enlargement of the enhancement area and ER positivity in Group 1 (P=0.032). In Group 2 the absence of penetrating vessels was significantly associated with VEGF negativity (P=0.022) and ER negativity (P=0.022). Centripetal enhancement reflected VEGF negativity (P=0.033) in lesions with diameter >20 mm. Thus, breast cancers with different sizes show different CEUS features; small breast cancers show homogeneous enhancement pattern while cancers with diameter >20 mm show homogeneous enhancement pattern. Some CEUS characteristics of differently sized breast cancers could be correlated with prognostic factors, which may be useful in prognosis assessment.
- Subjects
BREAST cancer prognosis; BREAST tumors; CELL receptors; CHI-squared test; PROBABILITY theory; RESEARCH funding; TUMOR markers; ULTRASONIC imaging; LOGISTIC regression analysis; VASCULAR endothelial growth factors; CONTRAST media; RETROSPECTIVE studies; DATA analysis software; DESCRIPTIVE statistics
- Publication
BioMed Research International, 2015, Vol 2015, p1
- ISSN
2314-6133
- Publication type
Article
- DOI
10.1155/2015/613831