Literature DB >> 21109437

Validating the MSKCC nomogram and a clinical decision rule in the prediction of non-sentinel node metastases in a Portuguese population of breast cancer patients.

José Luis Fougo1, Francisco Senhorães Senra, Cláudia Araújo, Teresa Dias, Mariana Afonso, Conceição Leal, Mário Dinis-Ribeiro.   

Abstract

BACKGROUND: In order to assess the risk of non-sentinel node involvement in breast cancer patients, some prediction tools have been developed and tested. However, a wide range of results are observed. We tested a simplified clinical decision rule, against the complex nomogram created from the MSKCC sentinel node database.
METHODS: Two single institutional consecutive series of patients with a positive SN, submitted to SN biopsy plus axillary dissection from June 1999 to October 2007, were evaluated. A receiver operating curve was drawn and the area under the curve was calculated as well as the negative predictive value for both tests, assuming discriminative values of 10 and 15%.
RESULTS: Considering the derivation series, our results showed an area under the curve of 0.69 for both our clinical decision rule and the MSKCC nomogram. The analysis of the validation series showed an area under the curve of 0.65 for our clinical decision rule and of 0.67 for the MSKCC nomogram. The nomogram results are inferior to those found in the original population and are similar to our clinical decision rule results.
CONCLUSIONS: Individual centres should develop and prospectively test their own clinical decision rules, based on their institutional Sentinel Node data.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 21109437     DOI: 10.1016/j.breast.2010.10.009

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  3 in total

1.  Development of a prediction model based on LASSO regression to evaluate the risk of non-sentinel lymph node metastasis in Chinese breast cancer patients with 1-2 positive sentinel lymph nodes.

Authors:  Lei Meng; Ting Zheng; Yuanyuan Wang; Zhao Li; Qi Xiao; Junfeng He; Jinxiang Tan
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

2.  Factors Influencing Non-sentinel Node Involvement in Sentinel Node Positive Patients and Validation of MSKCC Nomogram in Indian Breast Cancer Population.

Authors:  Naveen Padmanabhan; Muhamed Faizal Ayub; Khadher Hussain; Ann Kurien; Selvi Radhakrishna
Journal:  Indian J Surg Oncol       Date:  2015-12-05

3.  Multicenter validation of two nomograms to predict non-sentinel node involvement in breast cancer.

Authors:  Antonio Piñero; Manuel Canteras; Arancha Moreno; Francisco Vicente; Julia Giménez; Ana Tocino; Edelmiro Iglesias; Sergi Vidal-Sicart; Luzdivina Santamaría; Miguel Lorenzo; Manuel García; Diego Ramirez
Journal:  Clin Transl Oncol       Date:  2012-07-25       Impact factor: 3.405

  3 in total

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