AXILLARY LYMPH NODE SONOGRAPHIC FEATURES AND BREAST TUMOR CHARACTERISTICS AS PREDICTORS OF MALIGNANCY: A NOMOGRAM TO PREDICT RISK

被引:38
作者
de Camargo Teixeira, Patricia Akissue [1 ]
Chala, Luciano F. [1 ]
Shimizu, Carlos [1 ]
Filassi, Jose R. [2 ]
Maesaka, Jonathan Y. [2 ]
de Barros, Nestor [1 ]
机构
[1] Univ Sao Paulo, Med Sch, Dept Radiol, Breast Imaging Ctr, Av Dr Eneas de Carvalho Aguiar 269, BR-05403010 Sao Paulo, SP, Brazil
[2] Univ Sao Paulo, Med Sch, Discipline Obstet & Gynecol, Breast Surg Serv, Sao Paulo, Brazil
关键词
Breast cancer; Axillary ultrasound; Lymph node ultrasound features; Breast tumor characteristics; Fine-needle aspiration; Axillary lymph node metastasis; Nomogram; Statistical model; FINE-NEEDLE-ASPIRATION; CANCER PATIENTS; SENTINEL NODE; PREOPERATIVE ULTRASOUND; METASTASIS; BIOPSY; SIZE; UTILITY; US;
D O I
10.1016/j.ultrasmedbio.2017.05.003
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
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.
引用
收藏
页码:1837 / 1845
页数:9
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