Cargando…
A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer
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 advanta...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523361/ https://www.ncbi.nlm.nih.gov/pubmed/34703310 http://dx.doi.org/10.2147/CMAR.S331665 |
_version_ | 1784585286099927040 |
---|---|
author | Wang, Jing Chu, Yanhua Wang, Baohua Jiang, Tianan |
author_facet | Wang, Jing Chu, Yanhua Wang, Baohua Jiang, Tianan |
author_sort | Wang, Jing |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8523361 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-85233612021-10-25 A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Wang, Jing Chu, Yanhua Wang, Baohua Jiang, Tianan Cancer Manag Res Review 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. Dove 2021-10-14 /pmc/articles/PMC8523361/ /pubmed/34703310 http://dx.doi.org/10.2147/CMAR.S331665 Text en © 2021 Wang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Review Wang, Jing Chu, Yanhua Wang, Baohua Jiang, Tianan A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer |
title | A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer |
title_full | A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer |
title_fullStr | A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer |
title_full_unstemmed | A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer |
title_short | A Narrative Review of Ultrasound Technologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer |
title_sort | narrative review of ultrasound technologies for the prediction of neoadjuvant chemotherapy response in breast cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523361/ https://www.ncbi.nlm.nih.gov/pubmed/34703310 http://dx.doi.org/10.2147/CMAR.S331665 |
work_keys_str_mv | AT wangjing anarrativereviewofultrasoundtechnologiesforthepredictionofneoadjuvantchemotherapyresponseinbreastcancer AT chuyanhua anarrativereviewofultrasoundtechnologiesforthepredictionofneoadjuvantchemotherapyresponseinbreastcancer AT wangbaohua anarrativereviewofultrasoundtechnologiesforthepredictionofneoadjuvantchemotherapyresponseinbreastcancer AT jiangtianan anarrativereviewofultrasoundtechnologiesforthepredictionofneoadjuvantchemotherapyresponseinbreastcancer AT wangjing narrativereviewofultrasoundtechnologiesforthepredictionofneoadjuvantchemotherapyresponseinbreastcancer AT chuyanhua narrativereviewofultrasoundtechnologiesforthepredictionofneoadjuvantchemotherapyresponseinbreastcancer AT wangbaohua narrativereviewofultrasoundtechnologiesforthepredictionofneoadjuvantchemotherapyresponseinbreastcancer AT jiangtianan narrativereviewofultrasoundtechnologiesforthepredictionofneoadjuvantchemotherapyresponseinbreastcancer |