Validation of breast cancer nomograms for predicting the non-sentinel lymph node metastases after a positive sentinel lymph node biopsy in a multi-center study

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dc.authoridOzbek, Ugur/0000-0001-5319-0547
dc.authoridDEDE, Fuat/0000-0003-1985-616X
dc.authoridOzmen, Vahit/0000-0003-2973-8247
dc.authoridOzbas, Serdar/0000-0002-8019-8015
dc.authorwosidOzbek, Ugur/C-9513-2017
dc.authorwosidDEDE, Fuat/Y-1079-2018
dc.authorwosidOzmen, Vahit/AAE-3904-2020
dc.authorwosidGur, Akif serhat/AAS-7088-2021
dc.authorwosidOzbas, Serdar/ABI-5204-2020
dc.contributor.authorGur, A. S.
dc.contributor.authorUnal, B.
dc.contributor.authorOzbek, U.
dc.contributor.authorOzmen, V.
dc.contributor.authorAydogan, F.
dc.contributor.authorGokgoz, S.
dc.contributor.authorGulluoglu, B. M.
dc.date.accessioned2024-08-04T20:32:14Z
dc.date.available2024-08-04T20:32:14Z
dc.date.issued2010
dc.departmentİnönü Üniversitesien_US
dc.description.abstractObjective: In the study, our aim was to evaluate the predictability of four different nomograms on non-sentinel lymph node metastases (NSLNM) in breast cancer (BC) patients with positive sentinel lymph node (SLN) biopsy in a multi-center study. Methods: We identified 607 patients who had a positive SLN biopsy and completion axillary lymph node dissection (CALND) at seven different BC treatment centers in Turkey. The BC nomograms developed by the Memorial Sloan Kettering Cancer Center (MSKCC), Tenon Hospital, Cambridge University, and Stanford University were used to calculate the probability of NSLNM. Area under (AUC) Receiver Operating Characteristics Curve (ROC) was calculated for each nomogram and values greater than 0.70 were accepted as demonstrating good discrimination. Results: Two hundred and eighty-seven patients (287) of 607 patients (47.2%) had a positive axillary NSLNM. The AUC values were 0.705, 0.711, 0.730, and 0.582 for the MSKCC, Cambridge, Stanford, and Tenon models, respectively. On the multivariate analysis; overall metastasis size (OMS), lymphovascular invasion (LVI), and proportion of positive SLN to total SLN were found statistically significant. We created a formula to predict the NSLNM in our patient population and the AUC value of this formula was 0.8023. Conclusions: The MSKCC, Cambridge, and Stanford nomograms were good discriminators of NSLNM in SLN positive BC patients in this study. A newly created formula in this Study needs to be validated in prospective studies in different patient populations. A nomogram to predict NSLNM in patients with positive SLN biopsy developed at one institution should be used with caution. (C) 2009 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.ejso.2009.05.007
dc.identifier.endpage35en_US
dc.identifier.issn0748-7983
dc.identifier.issn1532-2157
dc.identifier.issue1en_US
dc.identifier.pmid19535217en_US
dc.identifier.scopus2-s2.0-73249118710en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage30en_US
dc.identifier.urihttps://doi.org/10.1016/j.ejso.2009.05.007
dc.identifier.urihttps://hdl.handle.net/11616/94936
dc.identifier.volume36en_US
dc.identifier.wosWOS:000274672100005en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofEjsoen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBreast canceren_US
dc.subjectSentinel lymph nodeen_US
dc.subjectNon-sentinel lymph nodeen_US
dc.subjectNomogramen_US
dc.titleValidation of breast cancer nomograms for predicting the non-sentinel lymph node metastases after a positive sentinel lymph node biopsy in a multi-center studyen_US
dc.typeArticleen_US

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