Literature DB >> 30638878

Tumor characteristics of lung cancer in predicting axillary lymph node metastases.

F Üstün1, B Tokuc2, E Tastekin3, G Durmuş Altun4.   

Abstract

OBJECTIVE: 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 evaluate1) 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.
Copyright © 2018 Sociedad Española de Medicina Nuclear e Imagen Molecular. Publicado por Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  (18)F-FDG; Axillary lymph node metastasis; Cáncer de pulmón; Lung cancer; Metástasis en los ganglios axilares; PET/CT; PET/TC

Mesh:

Substances:

Year:  2019        PMID: 30638878     DOI: 10.1016/j.remn.2018.09.010

Source DB:  PubMed          Journal:  Rev Esp Med Nucl Imagen Mol (Engl Ed)        ISSN: 2253-8089


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