ArticlePathology oncology research : POR2009
Predicting non-sentinel lymph node status after positive sentinel biopsy in breast cancer: what model performs the best in a Czech population?
Article in Pathology oncology research : POR, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- [The evolution of surgical management for early-stage breast cancer at a university breast centre in Hungary].Magyar onkologia · 2026Article
- Anatomical location of metastatic sentinel lymph node and clinicopathological characteristics for predicting risk of non-sentinel lymph node metastasis.World journal of surgical oncology · 2026Article
- Nomograms Integrating MRI-derived Apparent Diffusion Coefficient and Clinicopathologic Features for Prediction of Axillary Lymph Node Metastasis in Breast Cancer.Radiology. Imaging cancer · 2025Article
- A nomogram based on genotypic and clinicopathologic factors to predict the non-sentinel lymph node metastasis in Chinese women breast cancer patients.Frontiers in oncology · 2023Article
- 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.Scientific reports · 2021Article
- Macrometastasis at selective lymph node biopsy: A practical going-for-the-one clinical scoring system to personalize decision making.World journal of clinical oncology · 2021Article
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- Predicting the extent of nodal involvement for node positive breast cancer patients: Development and validation of a novel tool.Journal of surgical oncology · 2019Article
- Validation of Breast Cancer Models for Predicting the Nonsentinel Lymph Node Metastasis After a Positive Sentinel Lymph Node Biopsy in a Chinese Population.Technology in cancer research & treatment · 2018Article
- Different outcome in node-positive breast cancer patients found by axillary ultrasound or sentinel node procedure.Breast cancer research and treatment · 2017Article
- Application of artificial neural networks for predicting presence of non-sentinel lymph node metastases in breast cancer patients with positive sentinel lymph node biopsies.Archives of medical science : AMS · 2017Article
- Sentinel Lymph Nodes for Breast Carcinoma: A Paradigm Shift.Archives of pathology & laboratory medicine · 2016Review
- CK19 mRNA in blood can predict non-sentinel lymph node metastasis in breast cancer.Oncotarget · 2016Article
- Factors Influencing Non-sentinel Node Involvement in Sentinel Node Positive Patients and Validation of MSKCC Nomogram in Indian Breast Cancer Population.Indian journal of surgical oncology · 2015Article
- A simple risk score to predict the presence of non-sentinel lymph node metastases in breast cancer patients with a positive sentinel node.World journal of surgery · 2014Article
- Consensus on the regional lymph nodes irradiation in breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2013Review
- Multicenter validation of two nomograms to predict non-sentinel node involvement in breast cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2013Article
- Multi-institutional comparison of non-sentinel lymph node predictive tools in breast cancer patients with high predicted risk of further axillary metastasis.Pathology oncology research : POR · 2013Article
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Authors and funding
18 authors.
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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.
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