Tumor characteristics of lung cancer in predicting axillary lymph node metastases

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dc.authorwosidTokuç, Burcu/ABF-7730-2021
dc.contributor.authorUstun, F.
dc.contributor.authorTokuc, B.
dc.contributor.authorTastekin, E.
dc.contributor.authorAltun, G. Durmus
dc.date.accessioned2024-06-12T10:54:07Z
dc.date.available2024-06-12T10:54:07Z
dc.date.issued2019
dc.departmentTrakya Üniversitesien_US
dc.description.abstractObjective: In lung cancer, axillary lymph node metastases (ALM) are rare, and according to the 8th grading system, it is classified as M1b disease. The aim of this study is to evaluate 1 ) the presence of ALM and2) the effect of the primary tumors characteristics on the development of ALM. Methods: We performed a descriptive cross-sectional study, with retrospective revision, to identify ALM. Results: There were 157 patients included in this analysis: ALM (63 patients) and control group (94 patients). The presence of extrathoracic lymph node, contralateral pulmonary parenchymal and distant metastasis and all SUVmax values were significantly higher in the study group versus the control group (P< 0.05). The SUVmax value of the primary tumor was not a predictor of ALM. According to the primary histopathologic diagnosis, small cell lung cancer was found to cause ALM development 3.4 times as much as squamous cancer (SQC) (OR: 3.40 [95% CI 1.3-10.20], P= 0.029) and adenocarcinoma group was found to cause ALM development 4 times as much as SQC (OR: 4.02 [95% CI 1.73-9.34], P= 0.001). The likelihood of developing ALM was significantly higher in tumors located in the central and upper lobe versus the lower lobe. Conclusion: The finding of ALM on PET/CT images, the necessity of histopathologic confirmation is determined according to the results of primary tumor localization, primary tumor histopathology, M stage on PET/CT imaging, localization of ALM according to primary tumor, and N stage on PET/CT imaging. (C) 2018 Sociedad Espanola de Medicina Nuclear e Imagen Molecular. Published by Elsevier Espana, S.L.U. All rights reserved.en_US
dc.identifier.doi10.1016/j.remn.2018.09.010
dc.identifier.endpage86en_US
dc.identifier.issn2253-654X
dc.identifier.issue2en_US
dc.identifier.pmid30638878en_US
dc.identifier.scopus2-s2.0-85059605224en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage80en_US
dc.identifier.urihttps://doi.org/10.1016/j.remn.2018.09.010
dc.identifier.urihttps://hdl.handle.net/20.500.14551/18927
dc.identifier.volume38en_US
dc.identifier.wosWOS:000461844800003en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoesen_US
dc.publisherElsevier Espana Sluen_US
dc.relation.ispartofRevista Espanola De Medicina Nuclear E Imagen Molecularen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAxillary Lymph Node Metastasisen_US
dc.subjectF-18-FDGen_US
dc.subjectLung Canceren_US
dc.subjectPET/CTen_US
dc.subjectPatternsen_US
dc.titleTumor characteristics of lung cancer in predicting axillary lymph node metastasesen_US
dc.typeArticleen_US

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