A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer

Cancer Manag Res. 2021 Oct 14:13:7885-7895. doi: 10.2147/CMAR.S331665. eCollection 2021.

Abstract

The incidence and mortality rate of breast cancer (BC) in women currently ranks first worldwide, and neoadjuvant chemotherapy (NAC) is widely used in patients with BC. A variety of imaging assessment methods have been used to predict and evaluate the response to NAC. Ultrasound (US) has many advantages, such as being inexpensive and offering a convenient modality for follow-up detection without radiation emission. Although conventional grayscale US is typically used to predict the response to NAC, this approach is limited in its ability to distinguish viable tumor tissue from fibrotic scar tissue. Contrast-enhanced ultrasound (CEUS) combined with a time-intensity curve (TIC) not only provides information on blood perfusion but also reveals a variety of quantitative parameters; elastography has the potential capacity to predict NAC efficiency by evaluating tissue stiffness. Both CEUS and elastography can greatly improve the accuracy of predicting NAC responses. Other US techniques, including three-dimensional (3D) techniques, quantitative ultrasound (QUS) and US-guided near-infrared (NIR) diffuse optical tomography (DOT) systems, also have advantages in assessing NAC response. This paper reviews the different US technologies used for predicting NAC response in BC patients based on the previous literature.

Keywords: breast cancer; neoadjuvant chemotherapy; ultrasound.

Publication types

  • Review

Grants and funding

The National Key R&D Program of China(2018YFC0114900), the National Natural Science Foundation of China(81971623, the Major Research plan of the National Natural Science Foundation of China(91630311, the Natural Science Foundation of Zhejiang Province (SZ20H180002), Zhejiang Society Jiont Foundation for Mathematical Medicine(LSY19H180015), National S&T Major Project of China (2018ZX10301201).