Literature DB >> 28748712

Association between US features of primary tumor and axillary lymph node metastasis in patients with clinical T1-T2N0 breast cancer.

Min Sun Bae1,2, Sung Ui Shin1, Sung Eun Song1,3, Han Suk Ryu4, Wonshik Han5, Woo Kyung Moon1.   

Abstract

Background Most patients with early-stage breast cancer have clinically negative lymph nodes (LNs). However, 15-20% of patients have axillary nodal metastasis based on the sentinel LN biopsy. Purpose To assess whether ultrasound (US) features of a primary tumor are associated with axillary LN metastasis in patients with clinical T1-T2N0 breast cancer. Material and Methods This retrospective study included 138 consecutive patients (median age = 51 years; age range = 27-78 years) who underwent breast surgery with axillary LN evaluation for clinically node-negative T1-T2 breast cancer. Three radiologists blinded to the axillary surgery results independently reviewed the US images. Tumor distance from the skin and distance from the nipple were determined based on the US report. Association between US features of a breast tumor and axillary LN metastasis was assessed using a multivariate logistic regression model after controlling for clinicopathologic variables. Results Of the 138 patients, 28 (20.3%) had nodal metastasis. At univariate analysis, tumor distance from the skin ( P = 0.019), tumor size on US ( P = 0.023), calcifications ( P = 0.036), architectural distortion ( P = 0.001), and lymphovascular invasion ( P = 0.049) were associated with axillary LN metastasis. At multivariate analysis, shorter skin-to-tumor distance (odds ratio [OR] = 4.15; 95% confidence interval [CI] = 1.01-16.19; P = 0.040) and masses with associated architectural distortion (OR = 3.80; 95% CI = 1.57-9.19; P = 0.003) were independent predictors of axillary LN metastasis. Conclusion US features of breast cancer can be promising factors associated with axillary LN metastasis in patients with clinically node-negative early-stage breast cancer.

Entities:  

Keywords:  Ultrasound; axilla; breast cancer; lymph node dissection; lymph nodes; sentinel lymph node biopsy

Mesh:

Year:  2017        PMID: 28748712     DOI: 10.1177/0284185117723039

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  9 in total

1.  Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI.

Authors:  Su Min Ha; Jung Min Chang; Soo-Yeon Kim; Su Hyun Lee; Eun Sil Kim; Yeon Soo Kim; Nariya Cho; Woo Kyung Moon
Journal:  Breast Cancer Res Treat       Date:  2021-01-03       Impact factor: 4.872

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.  Is sentinel lymph node biopsy without frozen section in early stage breast cancer sufficient in accordance with ACOSOG-Z0011? A retrospective review from King Chulalongkorn Memorial Hospital.

Authors:  Nattanan Treeratanapun; Bhoowit Lerttiendamrong; Voranaddha Vacharathit; Kasaya Tantiphlachiva; Phuphat Vongwattanakit; Sopark Manasnayakorn; Mawin Vongsaisuwon
Journal:  BMC Surg       Date:  2022-07-06       Impact factor: 2.030

4.  Preoperative Sonographic Prediction of Limited Axillary Disease in Patients with Primary Breast Cancer Meeting the Z0011 Criteria: an Alternative to Sentinel Node Biopsy?

Authors:  Julia Caroline Radosa; Erich-Franz Solomayer; Martin Deeken; Peter Minko; Julia Sarah Maria Zimmermann; Askin Canguel Kaya; Marc Philipp Radosa; Lisa Stotz; Sarah Huwer; Carolin Müller; Maria Margarete Karsten; Gudrun Wagenpfeil; Christoph Georg Radosa
Journal:  Ann Surg Oncol       Date:  2022-04-29       Impact factor: 4.339

5.  Risk factors for axillary lymph node metastases in clinical stage T1-2N0M0 breast cancer patients.

Authors:  Yuanxin Zhang; Ji Li; Yuan Fan; Xiaomin Li; Juanjuan Qiu; Mou Zhu; Hongjiang Li
Journal:  Medicine (Baltimore)       Date:  2019-10       Impact factor: 1.889

6.  Predictive performance of ultrasonography-based radiomics for axillary lymph node metastasis in the preoperative evaluation of breast cancer.

Authors:  Si Eun Lee; Yongsik Sim; Sungwon Kim; Eun-Kyung Kim
Journal:  Ultrasonography       Date:  2020-04-01

7.  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

8.  Non-invasive predictors of axillary lymph node burden in breast cancer: a single-institution retrospective analysis.

Authors:  Victoria Ngai; Justina Cheh Juan Tai; Saima Taj; Heba Khanfar; Elefterios Sfakianakis; Athanasios Bakalis; Rose Baker; Muneer Ahmed
Journal:  Breast Cancer Res Treat       Date:  2022-07-21       Impact factor: 4.624

9.  Mode of presentation and skin thickening on ultrasound may predict nodal burden in breast cancer patients with a positive axillary core biopsy.

Authors:  Wen Ling Choong; Andrew Evans; Colin A Purdie; Huan Wang; Peter T Donnan; Brooke Lawson; E Jane Macaskill
Journal:  Br J Radiol       Date:  2020-01-28       Impact factor: 3.039

  9 in total

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