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

被引:18
|
作者
Wang, Jing [1 ]
Chu, Yanhua [1 ]
Wang, Baohua [1 ]
Jiang, Tianan [1 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 1, Dept Ultrasound, Sch Med, Hangzhou 310003, Zhejiang, Peoples R China
来源
CANCER MANAGEMENT AND RESEARCH | 2021年 / 13卷
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
breast cancer; ultrasound; neoadjuvant chemotherapy; CONTRAST-ENHANCED ULTRASOUND; SHEAR-WAVE ELASTOGRAPHY; PATHOLOGICAL COMPLETE RESPONSE; TUMOR SIZE; CLINICAL-APPLICATION; QUANTITATIVE ULTRASOUND; ULTRASONOGRAPHY; BENIGN; MAMMOGRAPHY; THERAPY;
D O I
10.2147/CMAR.S331665
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:7885 / 7895
页数:11
相关论文
共 50 条
  • [1] Clinical imaging for the prediction of neoadjuvant chemotherapy response in breast cancer
    Hayashi, Mitsuhiro
    Yamamoto, Yutaka
    Iwase, Hirotaka
    CHINESE CLINICAL ONCOLOGY, 2020, 9 (03)
  • [2] Contrast-Enhanced Ultrasound for Early Prediction of Response of Breast Cancer to Neoadjuvant Chemotherapy
    Lee, Youn Joo
    Kim, Sung Hun
    Kang, Bong Joo
    Kim, Yun Ju
    ULTRASCHALL IN DER MEDIZIN, 2019, 40 (02): : 193 - 204
  • [3] Assessment and Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Comparison of Imaging Modalities and Future Perspectives
    Romeo, Valeria
    Accardo, Giuseppe
    Perillo, Teresa
    Basso, Luca
    Garbino, Nunzia
    Nicolai, Emanuele
    Maurea, Simone
    Salvatore, Marco
    CANCERS, 2021, 13 (14)
  • [4] Ultrasound-based prediction of pathologic response to neoadjuvant chemotherapy in breast cancer patients
    Baumgartner, Annina
    Tausch, Christoph
    Hosch, Stefanie
    Papassotiropoulos, Barbel
    Varga, Zsuzsanna
    Rageth, Christoph
    Baege, Astrid
    BREAST, 2018, 39 : 19 - 23
  • [5] Early prediction of response to neoadjuvant chemotherapy using contrast-enhanced ultrasound in breast cancer
    Peng, Juan
    Pu, Huan
    Jia, Yan
    Chen, Chuang
    Ke, Xiao-Kang
    Zhou, Qing
    MEDICINE, 2021, 100 (19)
  • [6] Breast Ultrasound Versus MRI in Prediction of Pathologic Complete Response to Neoadjuvant Chemotherapy for Breast Cancer: A systematic Review and Meta-Analysis
    Sanei Sistani, Sharareh
    Parooie, Fateme
    JOURNAL OF DIAGNOSTIC MEDICAL SONOGRAPHY, 2021, 37 (01) : 47 - 57
  • [7] Contrast-enhanced ultrasonography for early prediction of response of neoadjuvant chemotherapy in breast cancer
    Guo, Jiabao
    Wang, Bao-Hua
    He, Mengna
    Fu, Peifen
    Yao, Minya
    Jiang, Tian'an
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [8] Prediction of pathological response to neoadjuvant chemotherapy in breast cancer patients by imaging
    Kaise, Hiroshi
    Shimizu, Fumika
    Akazawa, Kohei
    Hasegawa, Yoshie
    Horiguchi, Jun
    Miura, Daishu
    Kohno, Norio
    Ishikawa, Takashi
    JOURNAL OF SURGICAL RESEARCH, 2018, 225 : 175 - 180
  • [9] Early Prediction of Response to Neoadjuvant Chemotherapy Using Quantitative Parameters on Automated Breast Ultrasound Combined with Contrast-Enhanced Ultrasound in Breast Cancer
    Xie, Yongwei
    Chen, Yu
    Wang, Qiucheng
    Li, Bo
    Shang, Haitao
    Jing, Hui
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2023, 49 (07) : 1638 - 1646
  • [10] Ultrasound-based quantitative microvasculature imaging for early prediction of response to neoadjuvant chemotherapy in patients with breast cancer
    Sabeti, Soroosh
    Larson, Nicholas B.
    Boughey, Judy C.
    Stan, Daniela L.
    Solanki, Malvika H.
    Fazzio, Robert T.
    Fatemi, Mostafa
    Alizad, Azra
    BREAST CANCER RESEARCH, 2025, 27 (01)