Literature DB >> 30480840

Correlation of Conventional Ultrasound Characteristics of Breast Tumors With Axillary Lymph Node Metastasis and Ki-67 Expression in Patients With Breast Cancer.

Hang Zhang1, Xiufang Sui1, Suzhi Zhou2, Lei Hu1, Xian Huang1.   

Abstract

OBJECTIVES: To explore the association between the ultrasound (US) characteristics of breast tumors with axillary lymph node metastasis (ALNM) and Ki-67 expression in patients with breast cancer.
METHODS: In total, 527 consecutive patients with breast cancer who had undergone US examinations and curative surgery with axillary lymph node evaluations were included. The size, shape, aspect ratio, margin, internal echo, internal calcification, posterior echo attenuation, lymphatic hilar structure, cortical thickness, and blood flow of the axillary lymph nodes or primary breast lesions were observed with conventional US. Pathologic prognostic factors, including the histologic type of the tumor, histologic grade, estrogen and progesterone receptor status, lymph node status, and Ki-67 expression were determined. A logistic regression model was used to evaluate whether the US characteristics of primary breast lesions were associated with ALNM and Ki-67 expression.
RESULTS: The maximum tumor diameter (odds ratio [OR], 1.54; 95% confidence interval [CI], 1.05-2.27; P = .028), tumor margin (OR, 2.89; 95% CI, 1.69-4.94; P < .001), internal echo (OR, 2.17; 95% CI, 1.47-3.20; P < .001), and Ki-67 status (OR, 3.57; 95% CI, 2.29-5.58; P < .001) had significant value as independent predictors of ALNM. Only the internal echo (OR, 1.95; 95% CI, 1.28-2.95; P = .002) of breast cancer was an independent predictor of the Ki-67 status. The heterogeneity in the internal echo indicated faster cancer cell proliferation and was associated with a worse prognosis in patients with breast carcinoma.
CONCLUSIONS: Certain conventional US characteristics may be useful predictors of ALNM and the Ki-67 status in patients with breast cancer.
© 2018 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  Ki-67; axillary lymph node; breast cancer; conventional ultrasound; lymph node metastasis

Year:  2018        PMID: 30480840     DOI: 10.1002/jum.14879

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  6 in total

1.  An analysis of Ki-67 expression in stage 1 invasive ductal breast carcinoma using apparent diffusion coefficient histograms.

Authors:  Maolin Xu; Qi Tang; Manxiu Li; Yulin Liu; Fang Li
Journal:  Quant Imaging Med Surg       Date:  2021-04

2.  Comprehensive Risk System Based on Shear Wave Elastography and BI-RADS Categories in Assessing Axillary Lymph Node Metastasis of Invasive Breast Cancer-A Multicenter Study.

Authors:  Huiting Zhang; Yijie Dong; Xiaohong Jia; Jingwen Zhang; Zhiyao Li; Zhirui Chuan; Yanjun Xu; Bin Hu; Yunxia Huang; Cai Chang; Jinfeng Xu; Fajin Dong; Xiaona Xia; Chengrong Wu; Wenjia Hu; Gang Wu; Qiaoying Li; Qin Chen; Wanyue Deng; Qiongchao Jiang; Yonglin Mou; Huannan Yan; Xiaojing Xu; Hongju Yan; Ping Zhou; Yang Shao; Ligang Cui; Ping He; Linxue Qian; Jinping Liu; Liying Shi; Yanan Zhao; Yongyuan Xu; Yanyan Song; Weiwei Zhan; Jianqiao Zhou
Journal:  Front Oncol       Date:  2022-03-10       Impact factor: 6.244

3.  Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer.

Authors:  Qiucheng Wang; Bo Li; Zhao Liu; Haitao Shang; Hui Jing; Hua Shao; Kexin Chen; Xiaoshuan Liang; Wen Cheng
Journal:  BMC Cancer       Date:  2022-08-28       Impact factor: 4.638

4.  Value of digital mammography in predicting lymphovascular invasion of breast cancer.

Authors:  Zhuangsheng Liu; Ruqiong Li; Keming Liang; Junhao Chen; Xiangmeng Chen; Xiaoping Li; Ronggang Li; Xin Zhang; Lilei Yi; Wansheng Long
Journal:  BMC Cancer       Date:  2020-04-03       Impact factor: 4.430

Review 5.  Staging of the Axilla in Breast Cancer and the Evolving Role of Axillary Ultrasound.

Authors:  Michael Y Chen; William E Gillanders
Journal:  Breast Cancer (Dove Med Press)       Date:  2021-05-17

6.  Relationship Between Ultrasound Features and Ki-67 Labeling Index of Soft Tissue Sarcoma.

Authors:  Pingping Wang; Hai Li; Yu Hu; Xiaojing Peng; Xinhua Ye; Di Xu; Ao Li
Journal:  Front Oncol       Date:  2021-06-28       Impact factor: 6.244

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.