AXILLARY LYMPH NODE SONOGRAPHIC FEATURES AND BREAST TUMOR CHARACTERISTICS AS PREDICTORS OF MALIGNANCY: A NOMOGRAM TO PREDICT RISK
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Citações na Scopus
32
Tipo de produção
article
Data de publicação
2017
Título da Revista
ISSN da Revista
Título do Volume
Editora
ELSEVIER SCIENCE INC
Citação
ULTRASOUND IN MEDICINE AND BIOLOGY, v.43, n.9, p.1837-1845, 2017
Resumo
The purpose of this study was to build a mathematical model to predict the probability of axillary lymph node metastasis based on the ultrasonographic features of axillary lymph nodes and the tumor characteristics. We included 74 patients (75 axillae) with invasive breast cancer who underwent axillary ultrasonography ipsilateral to the tumor and fine-needle aspiration of one selected lymph node. Lymph node pathology results from sentinel lymph node biopsy or surgical dissection were correlated with lymph node ultrasonographic data and with the cytologic findings of fine-needle aspiration. Our mathematical model of prediction risk of lymph node metastasis included only pre-surgical data from logistic regression analysis: lymph node cortical thickness (p = 0.005), presurgical tumor size (p = 0.030), menopausal status (p = 0.017), histologic type (p = 0.034) and tumor location (p = 0.011). The area under the receiver operating characteristic curve of the model was 0.848, reflecting an excellent discrimination of the model. This nomogram may assist in the choice of the optimal axillary approach. (E-mail: pakissue@gmail.com) (C) 2017 World Federation for Ultrasound in Medicine & Biology.
Palavras-chave
Breast cancer, Axillary ultrasound, Lymph node ultrasound features, Breast tumor characteristics, Fine-needle aspiration, Axillary lymph node metastasis, Nomogram, Statistical model
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