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

dc.authorid116537en_US
dc.contributor.authorGür, Akif Serhat
dc.contributor.authorÜnal, Bülent
dc.contributor.authorÖzbek, Umut
dc.contributor.authorÖzmen, Vahit
dc.contributor.authorAydoğan, Fatih
dc.contributor.authorGökgöz, Mustafa Şehsuvar
dc.contributor.authorGüllüoğlu, Mahmut Bahadır
dc.contributor.authorAksaz, Erol
dc.contributor.authorÖzbaş, Serdar
dc.contributor.authorBaşkan, Semih
dc.contributor.authorKoyuncu, Ayhan
dc.contributor.authorSoran, Atilla
dc.date.accessioned2017-08-11T10:57:22Z
dc.date.available2017-08-11T10:57:22Z
dc.date.issued2011
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.en_US
dc.identifier.citationGür, A. S. Ünal, B. Özbek, U. Özmen, V. Aydoğan, F. Gökgöz, M. Ş. Güllüoğlu, M. B. Aksaz, E. Özbaş, S. Başkan, S. Koyuncu, A. Soran, A. (2011). 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 . European Journal of Surgical Oncology (EJSO), 37(5), 458.en_US
dc.identifier.doi10.1016/j.ejso.2011.02.008en_US
dc.identifier.issn07487983
dc.identifier.issue5en_US
dc.identifier.startpage458en_US
dc.identifier.urihttp://linkinghub.elsevier.com/retrieve/pii/S0748798311000771
dc.identifier.urihttps://hdl.handle.net/11616/7556
dc.identifier.volume37en_US
dc.language.isoenen_US
dc.publisherEuropean Journal of Surgical Oncology (EJSO)en_US
dc.relation.ispartofEuropean Journal of Surgical Oncology (EJSO)en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_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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