Literature DB >> 20641049

Comparison of three mathematical models for predicting the risk of additional axillary nodal metastases after positive sentinel lymph node biopsy in early breast cancer.

Y Moghaddam1, M Falzon, L Fulford, N R Williams, M R Keshtgar.   

Abstract

BACKGROUND: Women with breast cancer and a positive axillary sentinel lymph node (SLN) are recommended to undergo complete axillary lymph node dissection; however, further nodal disease is not always present. Mathematical models have been constructed to determine the risk of metastatic disease; three of these were evaluated independently.
METHODS: Data from 108 women with breast cancer who had a positive SLN biopsy and completion axillary lymph node dissection were used. Measurements of additional parameters over those usually determined (such as size of SLN metastasis) were assessed under the supervision of two pathologists. These data were used to determine the predicted risk of non-SLN metastases using three mathematical models (from Memorial Sloan-Kettering Cancer Center (MSKCC), Cambridge University and Stanford University) and a comparison made with the observed findings. Analyses were made using the area under the receiver operating characteristic (ROC) curve (AUC).
RESULTS: Some 53 (49.1 per cent) of 108 patients had a positive non-sentinel axillary lymph node metastasis. The AUC values were 0.63, 0.72 and 0.67 for the MSKCC, Cambridge and Stanford nomograms respectively.
CONCLUSION: This independent comparison found no significant difference between the models, although the Cambridge model had the advantage of requiring fewer measurements with a more accurate predictive performance.
Copyright © 2010 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.

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Year:  2010        PMID: 20641049     DOI: 10.1002/bjs.7181

Source DB:  PubMed          Journal:  Br J Surg        ISSN: 0007-1323            Impact factor:   6.939


  13 in total

1.  Validation of online calculators to predict the non-sentinel lymph node status in sentinel lymph node-positive breast cancer patients.

Authors:  Satoru Tanaka; Nayuko Sato; Hiroya Fujioka; Yuko Takahashi; Kosei Kimura; Mitsuhiko Iwamoto
Journal:  Surg Today       Date:  2012-06-22       Impact factor: 2.549

2.  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

3.  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

Review 4.  Prognostic factors in elderly patients with breast cancer.

Authors:  Alessandro Cappellani; Maria Di Vita; Antonio Zanghì; Andrea Cavallaro; Gaetano Piccolo; Marcello Majorana; Giuseppina Barbera; Massimiliano Berretta
Journal:  BMC Surg       Date:  2013-10-08       Impact factor: 2.102

5.  Role of Combined Sentinel Lymph Node Biopsy and Axillary Node Sampling in Clinically Node-Negative Breast Cancer.

Authors:  K J Edwards; M A Dordea; R French; V Kurup
Journal:  Indian J Surg       Date:  2015-06-24       Impact factor: 0.656

6.  Sentinel lymph node biopsy in breast cancer: predictors of axillary and non-sentinel lymph node involvement.

Authors:  Hakan Postacı; Baha Zengel; Ulkem Yararbaş; Adam Uslu; Nuket Eliyatkın; Göksever Akpınar; Fevzi Cengiz; Raika Durusoy
Journal:  Balkan Med J       Date:  2013-12-01       Impact factor: 2.021

7.  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

8.  Subtype is a predictive factor of nonsentinel lymph node involvement in sentinel node-positive breast cancer patients.

Authors:  Kaptan Gülben; Uğur Berberoğlu; Ogün Aydoğan; Volkan Kınaş
Journal:  J Breast Cancer       Date:  2014-12-26       Impact factor: 3.588

9.  Imaging Predictors for Nonsentinel Lymph Node Metastases in Breast Cancer Patients.

Authors:  Yizi Cong; Suxia Wang; Haidong Zou; Shiguang Zhu; Xingmiao Wang; Jianqiao Cao; Ji Wang; Yanqing Liu; Guangdong Qiao
Journal:  Breast Care (Basel)       Date:  2019-10-29       Impact factor: 2.860

10.  Molecular subtype classification is a determinant of non-sentinel lymph node metastasis in breast cancer patients with positive sentinel lymph nodes.

Authors:  Wenbin Zhou; Zhongyuan He; Jialei Xue; Minghai Wang; Xiaoming Zha; Lijun Ling; Lin Chen; Shui Wang; Xiaoan Liu
Journal:  PLoS One       Date:  2012-04-26       Impact factor: 3.240

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