307P - Contrast-enhanced ultrasound for evaluating the response of breast cancer to neoadjuvant chemotherapy: Time-intensity curve analysis and texture an...

Date 10 October 2016
Event ESMO 2016 Congress
Session Poster display
Topics Breast Cancer, Metastatic
Presenter Congcong Yuan
Citation Annals of Oncology (2016) 27 (6): 68-99. 10.1093/annonc/mdw365
Authors C. Yuan1, L. Tang1, Q. Zhang2, W. Jia1, M. Chen1
  • 1Ultrasound, Shanghai Ruijin Hospital, Shanghai Jiao Tong University, College of Medicine, 200000 - Shanghai/CN
  • 2Institute Of Biomedical Engineering, Institute of Biomedical Engineering, Shanghai University, 200444 - Shanghai/CN

Abstract

Background

The purpose of this study was to investigate the features and performance of contrast-enhanced ultrasound (CEUS) in evaluating the response of breast cancer to neoadjuvant chemotherapy (NAC) using time-intensity curve (TIC) analysis and texture analysis (TA) and the MATLAB programme for quantification.

Methods

The study included 21 breast cancer patients who were treated with NAC between January 2011 and July 2015. All of the patients received at least four cycles of chemotherapy, and CEUS data were available both before and after the NAC. Using the MATLAB program, both quantitative TIC analysis and TA were performed on the CEUS images before and after NAC. Additionally, after NAC, the pathologic breast tumour responses were assessed using the Miller and Payne system. Grades 1–3 were categorized as the non-response group, and grades 4-5 were categorized as the response group. The performances of the two quantitative analyses were compared between the non-response and response groups.

Results

For these 21 patients, the TIC analysis identified two parameters, i.e., BI-BIr (p = 0.025) and AUT-AUTr (p = 0.011), that exhibited significant differences between the subjects after NAC, which indicated that the intensity decreased after treatment. The texture analysis revealed that four parameters (Contrast, Entropy, Energy and Homogeneity) exhibited significant differences (p 

Conclusions

This study demonstrated that quantitative analysis of the features computed from breast CEUS images is a promising tool for evaluating the responses of breast cancers to NAC.

Clinical trial identification

None.

Legal entity responsible for the study

Man Chen, MD & PhD Department of Ultrasound, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University

Funding

National Natural Science Foundation of China (grant number 81470079, 81172078)

Disclosure

All authors have declared no conflicts of interest.