Publication:
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.contributor.authorGür, Serhat
dc.contributor.authorÜnal, Bülent
dc.contributor.authorÖzbek, Umut
dc.contributor.authorÖzmen, Vahit
dc.contributor.authorAydoğan, Fatih
dc.contributor.authorGüllüoğlu, Bahadır Mahmut
dc.contributor.authorAksaz, Erol
dc.contributor.authorÖzbaş, Serdar Mustafa
dc.contributor.authorBaşkan, Semih
dc.contributor.authorKoyuncu, Ayhan
dc.contributor.authorSoran, Atilla
dc.contributor.buuauthorGökgöz, Şehsuvar
dc.contributor.departmentTıp Fakültesi
dc.contributor.departmentGenel Cerrahi Ana Bilim Dalı
dc.contributor.scopusid6603238737
dc.date.accessioned2022-09-12T07:53:32Z
dc.date.available2022-09-12T07:53:32Z
dc.date.issued2010-01
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.
dc.identifier.citationGür, S. vd. (2010). "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, 36(1), 30-35.
dc.identifier.endpage35
dc.identifier.issn0748-7983
dc.identifier.issn1532-2157
dc.identifier.issue1
dc.identifier.pubmed19535217
dc.identifier.scopus2-s2.0-73249118710
dc.identifier.startpage30
dc.identifier.urihttps://doi.org/10.1016/j.ejso.2009.05.007
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0748798309001723
dc.identifier.urihttp://hdl.handle.net/11452/28637
dc.identifier.volume36
dc.identifier.wos000274672100005
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherElsevier
dc.relation.collaborationYurt içi
dc.relation.collaborationYurt dışı
dc.relation.collaborationSanayi
dc.relation.journalEuropean Journal of Surgical Oncology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectBreast cancer
dc.subjectSentinel lymph node
dc.subjectNon-sentinel lymph node
dc.subjectNomogram
dc.subjectLikelihood
dc.subjectInvolvement
dc.subjectCarcinoma
dc.subjectDissection
dc.subjectLimitations
dc.subjectModels
dc.subjectOncology
dc.subjectSurgery
dc.subject.emtreeAdult
dc.subject.emtreeAged
dc.subject.emtreeArticle
dc.subject.emtreeAxillary lymph node
dc.subject.emtreeBreast cancer
dc.subject.emtreeCancer center
dc.subject.emtreeCancer invasion
dc.subject.emtreeCancer patient
dc.subject.emtreeClinical trial
dc.subject.emtreeDiagnostic value
dc.subject.emtreeFemale
dc.subject.emtreeHuman
dc.subject.emtreeHuman tissue
dc.subject.emtreeLymph node dissection
dc.subject.emtreeLymph node metastasis
dc.subject.emtreeMajor clinical study
dc.subject.emtreeMulticenter study
dc.subject.emtreeNomogram
dc.subject.emtreePatient identification
dc.subject.emtreePriority journal
dc.subject.emtreeSentinel lymph node biopsy
dc.subject.emtreeTurkey (bird)
dc.subject.emtreeValidation study
dc.subject.meshAdult
dc.subject.meshAged
dc.subject.meshAged, 80 and over
dc.subject.meshArea under curve
dc.subject.meshAxilla
dc.subject.meshBreast neoplasms
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshLymph node excision
dc.subject.meshLymphatic metastasis
dc.subject.meshMiddle aged
dc.subject.meshModels, statistical
dc.subject.meshNeoplasm staging
dc.subject.meshNomograms
dc.subject.meshSensitivity and specificity
dc.subject.meshSentinel lymph node biopsy
dc.subject.scopusBreast Neoplasms; Lymphoscintigraphy; Micrometastasis
dc.subject.wosOncology
dc.subject.wosSurgery
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 study
dc.typeArticle
dc.wos.quartileQ2 (Oncology)
dc.wos.quartileQ1 (Surgery)
dspace.entity.typePublication
local.contributor.departmentTıp Fakültesi/Genel Cerrahi Ana Bilim Dalı
local.indexed.atPubMed
local.indexed.atWOS

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