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Use of Established Nomograms to Predict Non-Sentinel Lymph Node Metastasis

Use of Established Nomograms to Predict Non-Sentinel Lymph Node Metastasis Sentinel node biopsy has replaced routine axillary node dissection for women with clinically node-negative breast cancer. The development of nomograms, predictive models that enable individualized risk estimation, has enabled identification of women that are at low or high risk of residual non-sentinel node disease after a positive sentinel node biopsy, and have been widely validated. Furthermore, such models have been shown to predict risk of regional recurrence, risk of non-sentinel node involvement after neoadjuvant chemotherapy, and risk of four or more positive axillary nodes. Together with the panoply of other data, these mathematical models contribute to optimum and individualized decision making for a woman with breast cancer. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Breast Cancer Reports Springer Journals

Use of Established Nomograms to Predict Non-Sentinel Lymph Node Metastasis

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References (79)

Publisher
Springer Journals
Copyright
Copyright © 2014 by Springer Science+Business Media New York
Subject
Medicine & Public Health; Oncology; Internal Medicine; Surgical Oncology
ISSN
1943-4588
eISSN
1943-4596
DOI
10.1007/s12609-013-0137-5
Publisher site
See Article on Publisher Site

Abstract

Sentinel node biopsy has replaced routine axillary node dissection for women with clinically node-negative breast cancer. The development of nomograms, predictive models that enable individualized risk estimation, has enabled identification of women that are at low or high risk of residual non-sentinel node disease after a positive sentinel node biopsy, and have been widely validated. Furthermore, such models have been shown to predict risk of regional recurrence, risk of non-sentinel node involvement after neoadjuvant chemotherapy, and risk of four or more positive axillary nodes. Together with the panoply of other data, these mathematical models contribute to optimum and individualized decision making for a woman with breast cancer.

Journal

Current Breast Cancer ReportsSpringer Journals

Published: Jan 12, 2014

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