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Nomogram for prediction of level 2 axillary lymph node metastasis in proven level 1 node-positive breast cancer patients
BACKGROUND: The current management of the axilla in level 1 node-positive breast cancer patients is axillary lymph node dissection regardless of the status of the level 2 axillary lymph nodes. The goal of this study was to develop a nomogram predicting the probability of level 2 axillary lymph node...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641139/ https://www.ncbi.nlm.nih.gov/pubmed/29069796 http://dx.doi.org/10.18632/oncotarget.20395 |
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author | Jiang, Yanlin Xu, Hong Zhang, Hao Ou, Xunyan Xu, Zhen Ai, Liping Sun, Lisha Liu, Caigang |
author_facet | Jiang, Yanlin Xu, Hong Zhang, Hao Ou, Xunyan Xu, Zhen Ai, Liping Sun, Lisha Liu, Caigang |
author_sort | Jiang, Yanlin |
collection | PubMed |
description | BACKGROUND: The current management of the axilla in level 1 node-positive breast cancer patients is axillary lymph node dissection regardless of the status of the level 2 axillary lymph nodes. The goal of this study was to develop a nomogram predicting the probability of level 2 axillary lymph node metastasis (L-2-ALNM) in patients with level 1 axillary node-positive breast cancer. MATERIALS AND METHODS: We reviewed the records of 974 patients with pathology-confirmed level 1 node-positive breast cancer between 2010 and 2014 at the Liaoning Cancer Hospital and Institute. The patients were randomized 1:1 and divided into a modeling group and a validation group. Clinical and pathological features of the patients were assessed with uni- and multivariate logistic regression. A nomogram based on independent predictors for the L-2-ALNM identified by multivariate logistic regression was constructed. RESULTS: Independent predictors of L-2-ALNM by the multivariate logistic regression analysis included tumor size, Ki-67 status, histological grade, and number of positive level 1 axillary lymph nodes. The areas under the receiver operating characteristic curve of the modeling set and the validation set were 0.828 and 0.816, respectively. The false-negative rates of the L-2-ALNM nomogram were 1.82% and 7.41% for the predicted probability cut-off points of < 6% and < 10%, respectively, when applied to the validation group. CONCLUSIONS: Our nomogram could help predict L-2-ALNM in patients with level 1 axillary lymph node metastasis. Patients with a low probability of L-2-ALNM could be spared level 2 axillary lymph node dissection, thereby reducing postoperative morbidity. |
format | Online Article Text |
id | pubmed-5641139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56411392017-10-24 Nomogram for prediction of level 2 axillary lymph node metastasis in proven level 1 node-positive breast cancer patients Jiang, Yanlin Xu, Hong Zhang, Hao Ou, Xunyan Xu, Zhen Ai, Liping Sun, Lisha Liu, Caigang Oncotarget Research Paper BACKGROUND: The current management of the axilla in level 1 node-positive breast cancer patients is axillary lymph node dissection regardless of the status of the level 2 axillary lymph nodes. The goal of this study was to develop a nomogram predicting the probability of level 2 axillary lymph node metastasis (L-2-ALNM) in patients with level 1 axillary node-positive breast cancer. MATERIALS AND METHODS: We reviewed the records of 974 patients with pathology-confirmed level 1 node-positive breast cancer between 2010 and 2014 at the Liaoning Cancer Hospital and Institute. The patients were randomized 1:1 and divided into a modeling group and a validation group. Clinical and pathological features of the patients were assessed with uni- and multivariate logistic regression. A nomogram based on independent predictors for the L-2-ALNM identified by multivariate logistic regression was constructed. RESULTS: Independent predictors of L-2-ALNM by the multivariate logistic regression analysis included tumor size, Ki-67 status, histological grade, and number of positive level 1 axillary lymph nodes. The areas under the receiver operating characteristic curve of the modeling set and the validation set were 0.828 and 0.816, respectively. The false-negative rates of the L-2-ALNM nomogram were 1.82% and 7.41% for the predicted probability cut-off points of < 6% and < 10%, respectively, when applied to the validation group. CONCLUSIONS: Our nomogram could help predict L-2-ALNM in patients with level 1 axillary lymph node metastasis. Patients with a low probability of L-2-ALNM could be spared level 2 axillary lymph node dissection, thereby reducing postoperative morbidity. Impact Journals LLC 2017-08-22 /pmc/articles/PMC5641139/ /pubmed/29069796 http://dx.doi.org/10.18632/oncotarget.20395 Text en Copyright: © 2017 Jiang et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Jiang, Yanlin Xu, Hong Zhang, Hao Ou, Xunyan Xu, Zhen Ai, Liping Sun, Lisha Liu, Caigang Nomogram for prediction of level 2 axillary lymph node metastasis in proven level 1 node-positive breast cancer patients |
title | Nomogram for prediction of level 2 axillary lymph node metastasis in proven level 1 node-positive breast cancer patients |
title_full | Nomogram for prediction of level 2 axillary lymph node metastasis in proven level 1 node-positive breast cancer patients |
title_fullStr | Nomogram for prediction of level 2 axillary lymph node metastasis in proven level 1 node-positive breast cancer patients |
title_full_unstemmed | Nomogram for prediction of level 2 axillary lymph node metastasis in proven level 1 node-positive breast cancer patients |
title_short | Nomogram for prediction of level 2 axillary lymph node metastasis in proven level 1 node-positive breast cancer patients |
title_sort | nomogram for prediction of level 2 axillary lymph node metastasis in proven level 1 node-positive breast cancer patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5641139/ https://www.ncbi.nlm.nih.gov/pubmed/29069796 http://dx.doi.org/10.18632/oncotarget.20395 |
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