Cargando…
Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis
OBJECTIVES: The goal of this study was to assess the clinicopathological and ultrasound (US) features of breast cancer for predicting the risk of axillary lymph node metastasis. METHODS: Patients with breast cancer were included in this retrospective, monocentric, observational study. Their preopera...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657709/ https://www.ncbi.nlm.nih.gov/pubmed/37694357 http://dx.doi.org/10.3233/CH-231777 |
_version_ | 1785148196826120192 |
---|---|
author | Bai, Xiaofang Wang, Yunyue Song, Ruxi Li, Shangan Song, Yan Wang, Huan Tong, Xiaoning Wei, Wei Ruan, Litao Zhao, Qiaoling |
author_facet | Bai, Xiaofang Wang, Yunyue Song, Ruxi Li, Shangan Song, Yan Wang, Huan Tong, Xiaoning Wei, Wei Ruan, Litao Zhao, Qiaoling |
author_sort | Bai, Xiaofang |
collection | PubMed |
description | OBJECTIVES: The goal of this study was to assess the clinicopathological and ultrasound (US) features of breast cancer for predicting the risk of axillary lymph node metastasis. METHODS: Patients with breast cancer were included in this retrospective, monocentric, observational study. Their preoperative ultrasound features, clinical data, laboratory results and postoperative pathologic results and immunophenotyping were collected. The association of these factors of breast cancer with axillary lymph node metastasis was evaluated by univariate and multivariate analysis. RESULTS: In this study, 471 patients diagnosed with breast cancer at the First Affiliated Hospital of Xi’an Jiaotong University between July 2016 and September 2019 were collected, with a total of 471 nodules, of which 231(49.0%) had axillary lymph node metastasis, and 240(51.0%) did not. The parameters of hyperechoic halo, posterior acoustic decrease, microcalcification, carcinogenic embryonic antigen (CEA), cancer antigen-153 (CA153), CK5/6 (+), Ki67 (≥40%), AR (+) and histological grade (grade II and grade III) were significantly and independently associated with axillary lymph node metastasis (p < 0.05 for all). CONCLUSIONS: The combination of ultrasound features, tumor markers, pathology, and immunohistochemistry can predict axillary lymph node metastasis in breast cancer patients. |
format | Online Article Text |
id | pubmed-10657709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106577092023-11-19 Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis Bai, Xiaofang Wang, Yunyue Song, Ruxi Li, Shangan Song, Yan Wang, Huan Tong, Xiaoning Wei, Wei Ruan, Litao Zhao, Qiaoling Clin Hemorheol Microcirc Research Article OBJECTIVES: The goal of this study was to assess the clinicopathological and ultrasound (US) features of breast cancer for predicting the risk of axillary lymph node metastasis. METHODS: Patients with breast cancer were included in this retrospective, monocentric, observational study. Their preoperative ultrasound features, clinical data, laboratory results and postoperative pathologic results and immunophenotyping were collected. The association of these factors of breast cancer with axillary lymph node metastasis was evaluated by univariate and multivariate analysis. RESULTS: In this study, 471 patients diagnosed with breast cancer at the First Affiliated Hospital of Xi’an Jiaotong University between July 2016 and September 2019 were collected, with a total of 471 nodules, of which 231(49.0%) had axillary lymph node metastasis, and 240(51.0%) did not. The parameters of hyperechoic halo, posterior acoustic decrease, microcalcification, carcinogenic embryonic antigen (CEA), cancer antigen-153 (CA153), CK5/6 (+), Ki67 (≥40%), AR (+) and histological grade (grade II and grade III) were significantly and independently associated with axillary lymph node metastasis (p < 0.05 for all). CONCLUSIONS: The combination of ultrasound features, tumor markers, pathology, and immunohistochemistry can predict axillary lymph node metastasis in breast cancer patients. IOS Press 2023-10-30 /pmc/articles/PMC10657709/ /pubmed/37694357 http://dx.doi.org/10.3233/CH-231777 Text en © 2023 – The authors. Published by IOS Press https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Bai, Xiaofang Wang, Yunyue Song, Ruxi Li, Shangan Song, Yan Wang, Huan Tong, Xiaoning Wei, Wei Ruan, Litao Zhao, Qiaoling Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis |
title | Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis |
title_full | Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis |
title_fullStr | Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis |
title_full_unstemmed | Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis |
title_short | Ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis |
title_sort | ultrasound and clinicopathological characteristics of breast cancer for predicting axillary lymph node metastasis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657709/ https://www.ncbi.nlm.nih.gov/pubmed/37694357 http://dx.doi.org/10.3233/CH-231777 |
work_keys_str_mv | AT baixiaofang ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis AT wangyunyue ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis AT songruxi ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis AT lishangan ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis AT songyan ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis AT wanghuan ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis AT tongxiaoning ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis AT weiwei ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis AT ruanlitao ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis AT zhaoqiaoling ultrasoundandclinicopathologicalcharacteristicsofbreastcancerforpredictingaxillarylymphnodemetastasis |