Literature DB >> 25666048

Quantitative shear wave elastography: correlation with prognostic histologic features and immunohistochemical biomarkers of breast cancer.

Frederick Wing-Fai Au1, Sandeep Ghai2, Fang-I Lu3, Hadas Moshonov2, Pavel Crystal2.   

Abstract

RATIONALE AND
OBJECTIVES: To correlate prognostic histologic features and immunohistochemical biomarkers of breast cancer with quantitative shear wave elastography (SWE) parameters.
MATERIALS AND METHODS: B-mode ultrasound (US) and SWE were performed before core biopsy on 72 cancers in 68 patients. Mean cancer size was determined from US. Histologic grade, lymph node status, lymphovascular invasion (LVI), histologic type, and immunohistochemical biomarkers (estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2 [HER2]) were determined from surgical pathology reports. Correlation between these features and quantitative SWE parameters (mean elasticity [E mean], maximum elasticity [E max], and elasticity ratio [E ratio]) was made.
RESULTS: There was significant correlation of mean cancer size with E mean, E max, and E ratio (correlation, 0.492, 0.500, and 0.435, respectively; all P < .001). Lymph node involvement was associated with significantly higher E max (P = .040). LVI was associated with significantly higher E mean, E max, and E ratio (P = .002, .004, and .042, respectively). There was no significant correlation of histologic grade with SWE parameters. HER2+ cancers were associated with significantly higher E ratio (P = .030). In multivariate analysis, only mean cancer size was significantly correlated with E mean and E max (P < .001).
CONCLUSIONS: There was significant correlation of cancer size with SWE parameters. There was significant correlation of lymph node status and LVI with SWE, but only on univariate analysis. SWE has the potential to provide prognostic information of breast cancer in a noninvasive manner, but further study is required.
Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; elastography; prognostic features

Mesh:

Substances:

Year:  2015        PMID: 25666048     DOI: 10.1016/j.acra.2014.10.007

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  9 in total

1.  Feasibility of Shear Wave Elastography Imaging for Evaluating the Biological Behavior of Breast Cancer.

Authors:  Chaoxu Liu; Jin Zhou; Cai Chang; Wenxiang Zhi
Journal:  Front Oncol       Date:  2022-01-27       Impact factor: 6.244

2.  Quantitative analysis of shear wave elastic heterogeneity for prediction of lymphovascular invasion in breast cancer.

Authors:  Yini Huang; Yubo Liu; Yun Wang; Xueyi Zheng; Jing Han; Qian Li; Yixin Hu; Rushuang Mao; Jianhua Zhou
Journal:  Br J Radiol       Date:  2021-09-03       Impact factor: 3.039

3.  Tumor stiffness measured by quantitative and qualitative shear wave elastography of breast cancer.

Authors:  Eun Jee Song; Yu-Mee Sohn; Mirinae Seo
Journal:  Br J Radiol       Date:  2018-04-09       Impact factor: 3.039

4.  Diagnostic performance of qualitative and quantitative shear wave elastography in differentiating malignant from benign breast masses, and association with the histological prognostic factors.

Authors:  Voraparee Suvannarerg; Piyanuch Chitchumnong; Wipawan Apiwat; Lassanun Lertdamrongdej; Nattinee Tretipwanit; Pongthep Pisarnturakit; Panitta Sitthinamsuwan; Shanigarn Thiravit; Kobkun Muangsomboon; Pornpim Korpraphong
Journal:  Quant Imaging Med Surg       Date:  2019-03

5.  Ultrasound shear wave elastography of breast lesions: correlation of anisotropy with clinical and histopathological findings.

Authors:  Ya-Ling Chen; Yi Gao; Cai Chang; Fen Wang; Wei Zeng; Jia-Jian Chen
Journal:  Cancer Imaging       Date:  2018-04-05       Impact factor: 3.909

6.  Tumor stiffness measured by shear wave elastography correlates with tumor hypoxia as well as histologic biomarkers in breast cancer.

Authors:  Joonghyun Yoo; Bo Kyoung Seo; Eun Kyung Park; Myoungae Kwon; Hoiseon Jeong; Kyu Ran Cho; Ok Hee Woo; Sung Eun Song; Jaehyung Cha
Journal:  Cancer Imaging       Date:  2020-12-01       Impact factor: 3.909

7.  The Value of Shear Wave Elastography in the Diagnosis of Breast Cancer Axillary Lymph Node Metastasis and Its Correlation With Molecular Classification of Breast Masses.

Authors:  Changyun Luo; Li Lu; Weifu Zhang; Xiangqi Li; Ping Zhou; Zhangshen Ran
Journal:  Front Oncol       Date:  2022-03-17       Impact factor: 6.244

8.  TGF-β1: is it related to the stiffness of breast lesions and can it predict axillary lymph node metastasis?

Authors:  Meng Ke Zhang; Qiu Jing Shang; Shi Yu Li; Bo Wang; Gang Liu; Zhi Li Wang
Journal:  Ann Transl Med       Date:  2021-05

9.  Combination of Quantitative Parameters of Shear Wave Elastography and Superb Microvascular Imaging to Evaluate Breast Masses.

Authors:  Eun Ji Lee; Yun Woo Chang
Journal:  Korean J Radiol       Date:  2020-09       Impact factor: 3.500

  9 in total

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