NDLI: Predicting Non-Sentinel Lymph Node Status After Positive Sentinel Biopsy in Breast Cancer: What Model Performs the Best in a Czech Population?

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Predicting Non-Sentinel Lymph Node Status After Positive Sentinel Biopsy in Breast Cancer: What Model Performs the Best in a Czech Population?

Pathology & Oncology Research : Volume 15, Issue 3, September 2009

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Predicting Non-Sentinel Lymph Node Status After Positive Sentinel Biopsy in Breast Cancer: What Model Performs the Best in a Czech Population?

Content Provider	Springer Nature Link
Author	Coufal, Oldřich Pavlík, Tomáš Fabian, Pavel Bori, Rita Boross, Gábor Sejben, István Maráz, Róbert Koča, Jaroslav Krejčí, Eva Horáková, Iva Foltivá, Vendula Vrtělová, Pavlína Chrenko, Vojtech Eliza Tekle, Wolde Rajtár, Mária Svébis, Mihály Fait, Vuk Cserni, Gábor
Copyright Year	2009
Abstract	Several models have previously been proposed to predict the probability of non-sentinel lymph node (NSLN) metastases after a positive sentinel lymph node (SLN) biopsy in breast cancer. The aim of this study was to assess the accuracy of two previously published nomograms (MSKCC, Stanford) and to develop an alternative model with the best predictive accuracy in a Czech population. In the basic population of 330 SLN-positive patients from the Czech Republic, the accuracy of the MSKCC and the Stanford nomograms was tested by the area under the receiver operating characteristics curve (AUC). A new model (MOU nomogram) was proposed according to the results of multivariate analysis of relevant clinicopathologic variables. The new model was validated in an independent test population from Hungary (383 patients). In the basic population, six of 27 patients with isolated tumor cells (ITC) in the SLN harbored additional NSLN metastases. The AUCs of the MSKCC and Stanford nomograms were 0.68 and 0.66, respectively; for the MOU nomogram it reached 0.76. In the test population, the AUC of the MOU nomogram was similar to that of the basic population (0.74). The presence of only ITC in SLN does not preclude further nodal involvement. Additional variables are beneficial when considering the probability of NSLN metastases. In the basic population, the previously published nomograms (MSKCC and Stanford) showed only limited accuracy. The developed MOU nomogram proved more suitable for the basic population, such as for another independent population from a mid-European country.
Starting Page	733
Ending Page	740
Page Count	8
File Format	PDF
ISSN	12194956
Journal	Pathology & Oncology Research
Volume Number	15
Issue Number	4
e-ISSN	15322807
Language	English
Publisher	Springer Netherlands
Publisher Date	2009-05-15
Publisher Place	Dordrecht
Access Restriction	Subscribed
Subject Keyword	Breast cancer Lymphatic metastasis Nomogram Prediction Sentinel lymph node biopsy Tumor cells Isolated Biomedicine general Immunology Pathology Oncology Cancer Research
Content Type	Text
Resource Type	Article
Subject	Cancer Research Pathology and Forensic Medicine Oncology

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Ljubljana nomograms for predicting the likelihood of non-sentinel lymph node metastases in breast cancer patients with a positive sentinel lymph node

Lymphatic Mapping and Sentinel Lymph Node Biopsy for Breast Cancer

Predicting Non-Sentinel Lymph Node Status After Positive Sentinel Biopsy in Breast Cancer: What Model Performs the Best in a Czech Population?

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Predicting Non-Sentinel Lymph Node Status After Positive Sentinel Biopsy in Breast Cancer: What Model Performs the Best in a Czech Population?