A New and Simple Predictive Formula for Non-Sentinel Lymph Node Metastasis in Breast Cancer Patients with Positive Sentinel Lymph Nodes, and Validation of 3 Different Nomograms in Turkish Breast Cancer Patients

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dc.contributor.authorYeniay, Levent
dc.contributor.authorCarti, Erdem
dc.contributor.authorKaraca, Can
dc.contributor.authorZekioglu, Osman
dc.contributor.authorYararbas, Ulkem
dc.contributor.authorYilmaz, Rasih
dc.contributor.authorKapkac, Murat
dc.date.accessioned2019-10-27T21:33:51Z
dc.date.available2019-10-27T21:33:51Z
dc.date.issued2012
dc.departmentEge Üniversitesien_US
dc.description.abstractBackground: Nomogram accuracies for predicting non-sentinel lymph node (SLN) involvement vary between different patient populations. Our aim is to put these nomograms to test on our patient population and determine our individual predictive parameters affecting SLN and non-SLN involvement. Patients and Methods: Data from 932 patients was analyzed. Nomogram values were calculated for each patient utilizing MSKCC, Tenon, and MHDF models. Moreover, using our own patient-and tumor-depended parameters, we established a unique predictivity formula for SLN and non-SLN involvement. Results: The calculated area under the curve (AUC) values for MSKCC, Tenon, and MHDF models were 0.727 (95% confidence interval (CI) 0.64-0.8), 0.665 (95% CI 0.59-0.73), and 0.696 (95% CI 0.59-0.79), respectively. Cerb-2 positivity (p = 0.004) and size of the metastasis in the lymph node (p = 0.006) were found to correlate with non-SLN involvement in our study group. The AUC value of the predictivity formula established using these parameters was 0.722 (95% CI 0.63-0.81). Conclusion: The most accurate nomogram for our patient group was the MSKCC nomogram. Our unique predictivity formula proved to be as equally effective and competent as the MSKCC nomogram. However, similar to other nomograms, our predictivity formula requires future validation studies.en_US
dc.identifier.doi10.1159/000338844en_US
dc.identifier.endpage402en_US
dc.identifier.issn1661-3791
dc.identifier.issn1661-3805
dc.identifier.issue5en_US
dc.identifier.pmid24647780en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage397en_US
dc.identifier.urihttps://doi.org/10.1159/000338844
dc.identifier.urihttps://hdl.handle.net/11454/45438
dc.identifier.volume7en_US
dc.identifier.wosWOS:000310578900008en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherKargeren_US
dc.relation.ispartofBreast Careen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSentinel lymph node biopsyen_US
dc.subjectMSKCC nomogramen_US
dc.subjectTenon scoreen_US
dc.subjectTurkish nomogramen_US
dc.subjectNon-sentinel lymph node metastasisen_US
dc.titleA New and Simple Predictive Formula for Non-Sentinel Lymph Node Metastasis in Breast Cancer Patients with Positive Sentinel Lymph Nodes, and Validation of 3 Different Nomograms in Turkish Breast Cancer Patientsen_US
dc.typeArticleen_US

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