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Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer
PURPOSE: High-performing imaging and predictive markers are warranted to minimize surgical overtreatment of the axilla in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NACT). Here we have investigated whether axillary ultrasound (AUS) could identify axillary lymph node (ALN) metast...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302508/ https://www.ncbi.nlm.nih.gov/pubmed/34120224 http://dx.doi.org/10.1007/s10549-021-06283-8 |
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author | Skarping, Ida Förnvik, Daniel Zackrisson, Sophia Borgquist, Signe Rydén, Lisa |
author_facet | Skarping, Ida Förnvik, Daniel Zackrisson, Sophia Borgquist, Signe Rydén, Lisa |
author_sort | Skarping, Ida |
collection | PubMed |
description | PURPOSE: High-performing imaging and predictive markers are warranted to minimize surgical overtreatment of the axilla in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NACT). Here we have investigated whether axillary ultrasound (AUS) could identify axillary lymph node (ALN) metastasis (ALNM) pre-NACT and post-NACT for BC. The association of tumor, AUS features and mammographic density (MD) with axillary-pathological complete response (axillary-pCR) post-NACT was also assessed. METHODS: The NeoDense-study cohort (N = 202, NACT during 2014–2019), constituted a pre-NACT cohort, whereas patients whom had a cytology verified ALNM pre-NACT and an axillary dissection performed (N = 114) defined a post-NACT cohort. AUS characteristics were prospectively collected pre- and post-NACT. The diagnostic accuracy of AUS was evaluated and stratified by histological subtype and body mass index (BMI). Predictors of axillary-pCR were analyzed, including MD, using simple and multivariable logistic regression models. RESULTS: AUS demonstrated superior performance for prediction of ALNM pre-NACT in comparison to post-NACT, as reflected by the positive predictive value (PPV) 0.94 (95% CI 0.89–0.97) and PPV 0.76 (95% CI 0.62–0.87), respectively. We found no difference in AUS performance according to neither BMI nor histological subtype. Independent predictors of axillary-pCR were: premenopausal status, ER-negativity, HER2-overexpression, and high MD. CONCLUSION: Baseline AUS could, to a large extent, identify ALNM; however, post-NACT, AUS was insufficient to determine remaining ALNM. Thus, our results support the surgical staging of the axilla post-NACT. Baseline tumor biomarkers and patient characteristics were predictive of axillary-pCR. Larger, multicenter studies are needed to evaluate the performance of AUS post-NACT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-021-06283-8. |
format | Online Article Text |
id | pubmed-8302508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-83025082021-07-27 Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer Skarping, Ida Förnvik, Daniel Zackrisson, Sophia Borgquist, Signe Rydén, Lisa Breast Cancer Res Treat Clinical Trial PURPOSE: High-performing imaging and predictive markers are warranted to minimize surgical overtreatment of the axilla in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NACT). Here we have investigated whether axillary ultrasound (AUS) could identify axillary lymph node (ALN) metastasis (ALNM) pre-NACT and post-NACT for BC. The association of tumor, AUS features and mammographic density (MD) with axillary-pathological complete response (axillary-pCR) post-NACT was also assessed. METHODS: The NeoDense-study cohort (N = 202, NACT during 2014–2019), constituted a pre-NACT cohort, whereas patients whom had a cytology verified ALNM pre-NACT and an axillary dissection performed (N = 114) defined a post-NACT cohort. AUS characteristics were prospectively collected pre- and post-NACT. The diagnostic accuracy of AUS was evaluated and stratified by histological subtype and body mass index (BMI). Predictors of axillary-pCR were analyzed, including MD, using simple and multivariable logistic regression models. RESULTS: AUS demonstrated superior performance for prediction of ALNM pre-NACT in comparison to post-NACT, as reflected by the positive predictive value (PPV) 0.94 (95% CI 0.89–0.97) and PPV 0.76 (95% CI 0.62–0.87), respectively. We found no difference in AUS performance according to neither BMI nor histological subtype. Independent predictors of axillary-pCR were: premenopausal status, ER-negativity, HER2-overexpression, and high MD. CONCLUSION: Baseline AUS could, to a large extent, identify ALNM; however, post-NACT, AUS was insufficient to determine remaining ALNM. Thus, our results support the surgical staging of the axilla post-NACT. Baseline tumor biomarkers and patient characteristics were predictive of axillary-pCR. Larger, multicenter studies are needed to evaluate the performance of AUS post-NACT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-021-06283-8. Springer US 2021-06-12 2021 /pmc/articles/PMC8302508/ /pubmed/34120224 http://dx.doi.org/10.1007/s10549-021-06283-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Clinical Trial Skarping, Ida Förnvik, Daniel Zackrisson, Sophia Borgquist, Signe Rydén, Lisa Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer |
title | Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer |
title_full | Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer |
title_fullStr | Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer |
title_full_unstemmed | Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer |
title_short | Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer |
title_sort | predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer |
topic | Clinical Trial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8302508/ https://www.ncbi.nlm.nih.gov/pubmed/34120224 http://dx.doi.org/10.1007/s10549-021-06283-8 |
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