Literature DB >> 29119589

Ultrasound Features of Breast Cancer for Predicting Axillary Lymph Node Metastasis.

Qiang Guo1,2, Zhiwu Dong3, Lei Zhang1, Chunping Ning4, Ziyao Li1, Dongmo Wang1, Chong Liu1, Ming Zhao1, Jiawei Tian1.   

Abstract

OBJECTIVES: The purpose of this study was to assess the clinical value of ultrasound (US) features of breast lesions for predicting the risk of axillary lymph node metastasis in patients with breast cancer.
METHODS: In this retrospective study, 425 patients with breast cancer were recruited, and their preoperative US features and postoperative pathologic results were collected. The association of these US features of breast cancer with axillary lymph node metastasis was determined by univariate and multivariate analyses.
RESULTS: Among the 425 patients, 200 (47.1%) had axillary lymph node metastasis, and 225 (52.9%) did not. The parameters of tumor shape, color Doppler flow imaging grades, histologic grade, and E-cadherin level were significantly and independently associated with axillary lymph node metastasis (P < .05 for all).
CONCLUSIONS: Axillary lymph node metastasis was prone to happen in patients with US features of an irregular tumor shape and higher color Doppler flow imaging grades. Ultrasound imaging provides a promising tool for predicting axillary lymph node metastasis in patients with breast cancer.
© 2017 by the American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  Doppler (techniques/physics); breast (diagnostic); breast neoplasms; cancer screening; color Doppler flow imaging; lymphatic metastasis; tumor shape; ultrasound; ultrasound techniques/physics

Mesh:

Year:  2017        PMID: 29119589     DOI: 10.1002/jum.14469

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


  13 in total

1.  Letter to the editor regarding "Ultrasound features of breast cancer for predicting axillary lymph node metastasis".

Authors:  Zeng Zeng
Journal:  Med Oncol       Date:  2018-10-26       Impact factor: 3.064

2.  A Convolutional Neural Network Based on Ultrasound Images of Primary Breast Masses: Prediction of Lymph-Node Metastasis in Collaboration With Classification of Benign and Malignant Tumors.

Authors:  Chunxiao Li; Yuanfan Guo; Liqiong Jia; Minghua Yao; Sihui Shao; Jing Chen; Yi Xu; Rong Wu
Journal:  Front Physiol       Date:  2022-06-02       Impact factor: 4.755

3.  Clinical Value of Preoperative Ultrasound Signs in Evaluating Axillary Lymph Node Status in Triple-Negative Breast Cancer.

Authors:  Jundong Wang; Xiaoli Lu; Xuan Zheng; Congyan Xia; Ping Li
Journal:  J Oncol       Date:  2022-05-14       Impact factor: 4.501

4.  Preoperative Nomogram for Predicting Sentinel Lymph Node Metastasis Risk in Breast Cancer: A Potential Application on Omitting Sentinel Lymph Node Biopsy.

Authors:  Xi'E Hu; Jingyi Xue; Shujia Peng; Ping Yang; Zhenyu Yang; Lin Yang; Yanming Dong; Lijuan Yuan; Ting Wang; Guoqiang Bao
Journal:  Front Oncol       Date:  2021-04-26       Impact factor: 6.244

5.  Establishment of Simple Nomograms for Predicting Axillary Lymph Node Involvement in Early Breast Cancer.

Authors:  Qingqing Zong; Jing Deng; Wanli Ge; Jie Chen; Di Xu
Journal:  Cancer Manag Res       Date:  2020-03-18       Impact factor: 3.989

6.  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

7.  Non-invasive prediction of lymph node status for patients with early-stage invasive breast cancer based on a morphological feature from ultrasound images.

Authors:  Tao Jiang; Weiwei Su; Yanan Zhao; Qunying Li; Pintong Huang
Journal:  Quant Imaging Med Surg       Date:  2021-08

8.  Predicting Axillary Lymph Node Status With a Nomogram Based on Breast Lesion Ultrasound Features: Performance in N1 Breast Cancer Patients.

Authors:  Yanwen Luo; Chenyang Zhao; Yuanjing Gao; Mengsu Xiao; Wenbo Li; Jing Zhang; Li Ma; Jing Qin; Yuxin Jiang; Qingli Zhu
Journal:  Front Oncol       Date:  2020-10-27       Impact factor: 6.244

Review 9.  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

10.  Ultrasound Image Features under Deep Learning in Breast Conservation Surgery for Breast Cancer.

Authors:  Hongxu Zhang; Haiwang Liu; Lihui Ma; Jianping Liu; Dawei Hu
Journal:  J Healthc Eng       Date:  2021-09-17       Impact factor: 2.682

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