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Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging
This study aimed to evaluate the value of dynamic contrast‐enhanced ultrasound (CEUS) combined with dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) in predicting pathological complete response (pCR) in patients with breast cancer receiving neoadjuvant chemotherapy (NAC). Fifty‐seven f...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883403/ https://www.ncbi.nlm.nih.gov/pubmed/35822639 http://dx.doi.org/10.1002/cam4.5019 |
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author | Han, Xue Yang, Huajing Jin, Shiyang Sun, Yunfeng Zhang, Hongxia Shan, Ming Cheng, Wen |
author_facet | Han, Xue Yang, Huajing Jin, Shiyang Sun, Yunfeng Zhang, Hongxia Shan, Ming Cheng, Wen |
author_sort | Han, Xue |
collection | PubMed |
description | This study aimed to evaluate the value of dynamic contrast‐enhanced ultrasound (CEUS) combined with dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) in predicting pathological complete response (pCR) in patients with breast cancer receiving neoadjuvant chemotherapy (NAC). Fifty‐seven female patients with breast cancer (mean age, 50.46 years; range, 32–66 years) scheduled for NAC were recruited. CEUS and DCE‐MRI were performed before and after NAC. Imaging features and their changes were compared with postoperative pathological results. After the clinical differences were balanced using propensity score matching, univariate and multiple logistic regression analyses were used to derive the characteristics independently associated with pCR. Receiver operating characteristic curve analysis was performed to assess diagnostic performance. After six to eight cycles of NAC, 24 (42.1%) patients achieved pCR, while 33 (57.9%) did not. Multivariate analysis showed that enhancement order on CEUS and DCE‐MRI before NAC, reduction in diameter and enhancement shape on CEUS, maximum diameter on DCE‐MRI, and the type of progressive dynamic contrast enhancement after NAC were independently associated with pCR after NAC. The area under the receiver operating characteristic curve for CEUS+DCE‐MRI was 0.911 (95% confidence interval, 0.826–0.997), and the specificity and positive predictive values were 87.0% and 87.5%. CEUS and DCE‐MRI have the potential for assessing the pathological response to NAC in patients with breast cancer; their combination showed the best diagnostic performance. CEUS+DCE‐MRI has proved beneficial for comprehensive assessment and personalizing treatment strategies for patients with breast cancer. |
format | Online Article Text |
id | pubmed-9883403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98834032023-01-30 Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging Han, Xue Yang, Huajing Jin, Shiyang Sun, Yunfeng Zhang, Hongxia Shan, Ming Cheng, Wen Cancer Med RESEARCH ARTICLES This study aimed to evaluate the value of dynamic contrast‐enhanced ultrasound (CEUS) combined with dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) in predicting pathological complete response (pCR) in patients with breast cancer receiving neoadjuvant chemotherapy (NAC). Fifty‐seven female patients with breast cancer (mean age, 50.46 years; range, 32–66 years) scheduled for NAC were recruited. CEUS and DCE‐MRI were performed before and after NAC. Imaging features and their changes were compared with postoperative pathological results. After the clinical differences were balanced using propensity score matching, univariate and multiple logistic regression analyses were used to derive the characteristics independently associated with pCR. Receiver operating characteristic curve analysis was performed to assess diagnostic performance. After six to eight cycles of NAC, 24 (42.1%) patients achieved pCR, while 33 (57.9%) did not. Multivariate analysis showed that enhancement order on CEUS and DCE‐MRI before NAC, reduction in diameter and enhancement shape on CEUS, maximum diameter on DCE‐MRI, and the type of progressive dynamic contrast enhancement after NAC were independently associated with pCR after NAC. The area under the receiver operating characteristic curve for CEUS+DCE‐MRI was 0.911 (95% confidence interval, 0.826–0.997), and the specificity and positive predictive values were 87.0% and 87.5%. CEUS and DCE‐MRI have the potential for assessing the pathological response to NAC in patients with breast cancer; their combination showed the best diagnostic performance. CEUS+DCE‐MRI has proved beneficial for comprehensive assessment and personalizing treatment strategies for patients with breast cancer. John Wiley and Sons Inc. 2022-07-13 /pmc/articles/PMC9883403/ /pubmed/35822639 http://dx.doi.org/10.1002/cam4.5019 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RESEARCH ARTICLES Han, Xue Yang, Huajing Jin, Shiyang Sun, Yunfeng Zhang, Hongxia Shan, Ming Cheng, Wen Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging |
title | Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging |
title_full | Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging |
title_fullStr | Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging |
title_full_unstemmed | Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging |
title_short | Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging |
title_sort | prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging |
topic | RESEARCH ARTICLES |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883403/ https://www.ncbi.nlm.nih.gov/pubmed/35822639 http://dx.doi.org/10.1002/cam4.5019 |
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