Value of conventional ultrasound combined with automated breast volume scanner in predicting axillary lymph node metastasis in invasive ductal carcinoma
10.3760/cma.j.cn131148-20211021-00753
- VernacularTitle:常规超声联合自动乳腺全容积成像预测乳腺浸润性导管癌腋窝淋巴结转移的临床价值
- Author:
Yating LI
1
;
Dandan WANG
;
Bin YANG
;
Jun GU
;
Jiawei XU
;
Chaoli XU
;
Lijuan ZHANG
;
Hui SUN
Author Information
1. 南京医科大学附属金陵临床医学院（东部战区总医院）超声诊断科，南京 210002
- Keywords:
Ultrasonography;
Breast cancer;
Automated breast volume scanner;
Retraction phenomenon;
Axillary lymph node metastasis
- From:
Chinese Journal of Ultrasonography
2022;31(6):525-531
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the clinical value of conventional ultrasound combined with automated breast volume scanner (ABVS) in predicting axillary lymph node metastasis (ALNM) of patients with invasive ductal carcinoma.Methods:A retrospective analysis was performed in 96 patients in the General Hospital of Eastern Theater Command from January 2014 to December 2020. All patients were examined by conventional ultrasound and ABVS before treatment. The patients were divided into the ALNM group and non-axillary lymph node metastasis (N-ALNM) group according to the postoperative pathological results. The differences of ultrasound parameters between the two groups were compared, and Logistic regression was used to analyze the independent predictive factors of ALNM. The ROC curve was plotted to evaluate the diagnostic efficacy for ALNM.Results:Compared with the N-ALNM group, the ALNM group had the characteristics of larger long diameters, unclear boundary, uneven internal echo, Adler blood flow grade Ⅱ-Ⅲ and retraction phenomenon (all P<0.05). Logistic regression analysis showed that the long diameter, uneven internal echo, and retraction phenomenon were independent predictors of ALNM ( OR=1.051, 4.055, 3.493, all P<0.05). The area under curve of ALNM was 0.752(0.653-0.834), the sensitivity and specificity were 54.7% and 83.7%, respectively. Conclusions:The long diameter, uneven internal echo, and retraction phenomenon measured by conventional ultrasound and ABVS are independent predictors of ALNM. The combination of the three can provide imaging references for the evaluation of ALNM of breast cancer.
