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A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound
Quantitative ultrasound (QUS) can probe tissue structure and analyze tumour characteristics. Using a 6-MHz ultrasound system, radiofrequency data were acquired from 56 locally advanced breast cancer patients prior to their neoadjuvant chemotherapy (NAC) and QUS texture features were computed from re...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388850/ https://www.ncbi.nlm.nih.gov/pubmed/28401902 http://dx.doi.org/10.1038/srep45733 |
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author | Tadayyon, Hadi Sannachi, Lakshmanan Gangeh, Mehrdad J. Kim, Christina Ghandi, Sonal Trudeau, Maureen Pritchard, Kathleen Tran, William T. Slodkowska, Elzbieta Sadeghi-Naini, Ali Czarnota, Gregory J. |
author_facet | Tadayyon, Hadi Sannachi, Lakshmanan Gangeh, Mehrdad J. Kim, Christina Ghandi, Sonal Trudeau, Maureen Pritchard, Kathleen Tran, William T. Slodkowska, Elzbieta Sadeghi-Naini, Ali Czarnota, Gregory J. |
author_sort | Tadayyon, Hadi |
collection | PubMed |
description | Quantitative ultrasound (QUS) can probe tissue structure and analyze tumour characteristics. Using a 6-MHz ultrasound system, radiofrequency data were acquired from 56 locally advanced breast cancer patients prior to their neoadjuvant chemotherapy (NAC) and QUS texture features were computed from regions of interest in tumour cores and their margins as potential predictive and prognostic indicators. Breast tumour molecular features were also collected and used for analysis. A multiparametric QUS model was constructed, which demonstrated a response prediction accuracy of 88% and ability to predict patient 5-year survival rates (p = 0.01). QUS features demonstrated superior performance in comparison to molecular markers and the combination of QUS and molecular markers did not improve response prediction. This study demonstrates, for the first time, that non-invasive QUS features in the core and margin of breast tumours can indicate breast cancer response to neoadjuvant chemotherapy (NAC) and predict five-year recurrence-free survival. |
format | Online Article Text |
id | pubmed-5388850 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53888502017-04-14 A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound Tadayyon, Hadi Sannachi, Lakshmanan Gangeh, Mehrdad J. Kim, Christina Ghandi, Sonal Trudeau, Maureen Pritchard, Kathleen Tran, William T. Slodkowska, Elzbieta Sadeghi-Naini, Ali Czarnota, Gregory J. Sci Rep Article Quantitative ultrasound (QUS) can probe tissue structure and analyze tumour characteristics. Using a 6-MHz ultrasound system, radiofrequency data were acquired from 56 locally advanced breast cancer patients prior to their neoadjuvant chemotherapy (NAC) and QUS texture features were computed from regions of interest in tumour cores and their margins as potential predictive and prognostic indicators. Breast tumour molecular features were also collected and used for analysis. A multiparametric QUS model was constructed, which demonstrated a response prediction accuracy of 88% and ability to predict patient 5-year survival rates (p = 0.01). QUS features demonstrated superior performance in comparison to molecular markers and the combination of QUS and molecular markers did not improve response prediction. This study demonstrates, for the first time, that non-invasive QUS features in the core and margin of breast tumours can indicate breast cancer response to neoadjuvant chemotherapy (NAC) and predict five-year recurrence-free survival. Nature Publishing Group 2017-04-12 /pmc/articles/PMC5388850/ /pubmed/28401902 http://dx.doi.org/10.1038/srep45733 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Tadayyon, Hadi Sannachi, Lakshmanan Gangeh, Mehrdad J. Kim, Christina Ghandi, Sonal Trudeau, Maureen Pritchard, Kathleen Tran, William T. Slodkowska, Elzbieta Sadeghi-Naini, Ali Czarnota, Gregory J. A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound |
title | A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound |
title_full | A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound |
title_fullStr | A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound |
title_full_unstemmed | A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound |
title_short | A priori Prediction of Neoadjuvant Chemotherapy Response and Survival in Breast Cancer Patients using Quantitative Ultrasound |
title_sort | priori prediction of neoadjuvant chemotherapy response and survival in breast cancer patients using quantitative ultrasound |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388850/ https://www.ncbi.nlm.nih.gov/pubmed/28401902 http://dx.doi.org/10.1038/srep45733 |
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