Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/143346
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dc.creatorFougo, JL-
dc.creatorAmendoeira, I-
dc.creatorBrito, MJ-
dc.creatorCorreia, AP-
dc.creatorGonçalves, A-
dc.creatorHonavar, M-
dc.creatorMachado, A-
dc.creatorMagalhães, A-
dc.creatorMarta, S-
dc.creatorNogueira, M-
dc.creatorPeleteiro, B-
dc.creatorPontes, P-
dc.date.accessioned2022-08-23T15:00:48Z-
dc.date.available2022-08-23T15:00:48Z-
dc.date.issued2020-
dc.identifier.issn0960-7404-
dc.identifier.urihttps://hdl.handle.net/10216/143346-
dc.description.abstractOSNA is a molecular assay for the detection of sentinel node metastasis. TTL emerged as a concept that seems to accurately predict the status of the NSN. Authors tried to confirm this motion. This is a retrospective and multicentric study that analyzed 2164 patients, 579 of whom had positive SN and completion AD. Logistic regression models were performed in order to identify a suitable cutoff to identify patients who benefit from AD. Univariate and multivariate regression analysis showed a relationship between TTL>30000 and the presence of NSN metastasis (OR 2.84, CI 1.99–4.08, p < 0.001). Logistic regression indicated that the cutoff of 30000 copies/μL better discriminates patients with NSN positivity and allows wide use of these criteria. This cutoff value may safely assist clinicians and patients to decide to proceed or not with an AD.-
dc.description.sponsorshipThere was no sponsorship.-
dc.language.isoeng-
dc.publisherElsevier-
dc.relation.ispartofSurg Oncol. 2020 Mar;32:108-114-
dc.rightsrestrictedAccess-
dc.subjectBreast cancer-
dc.subjectSentinel node-
dc.subjectNon-sentinel node-
dc.subjectOSNA-
dc.subjectPrediction-
dc.titleSentinel node total tumour load as a predictive factor for non-sentinel node status in early breast cancer patients - The porttle study-
dc.typeArtigo em Revista Científica Internacional-
dc.contributor.uportoInstituto de Saúde Pública da Universidade do Porto-
dc.identifier.doi10.1016/j.suronc.2019.11.008-
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0960740419304736?via%3Dihub-
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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