Dual-modal computer-assisted evaluation of axillary lymph node metastasis in breast cancer patients on both real-time elastography and B-mode ultrasound-Reference-Cited by-同舟云学术

Dual-modal computer-assisted evaluation of axillary lymph node metastasis in breast cancer patients on both real-time elastography and B-mode ultrasound

Published:2017-10 Issue: Volume:95 Page:66-74
ISSN:0720-048X
Container-title:European Journal of Radiology
language:en
Short-container-title:European Journal of Radiology

Author:

Zhang Qi,Suo Jingfeng,Chang Wanying,Shi Jun,Chen Man

Funder

National Science Foundation of China

Open Fund Project of Fujian Provincial Key Laboratory of Information Processing and Intelligent Control

Chenguang Project of Shanghai Educational Committee

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference31 articles.

1. Impact on regional recurrence and survival of axillary surgery in women with node-negative primary breast cancer;Axelsson;Br. J. Surg.,2009

2. Prognostic and predictive factors in early-stage breast cancer;Cianfrocca;Oncologist,2004

3. Detection and significance of occult axillary metastatic disease in breast cancer patients;Siziopikou;Breast J.,1999

4. Predictors of axillary lymph node metastases in breast cancer: is there a role for minimal axillary surgery?;Yip;World J. Surg.,2009

5. Sentinel lymph node biopsy for patients with early-stage breast cancer: American Society of Clinical Oncology clinical practice guideline update;Lyman;J. Clin. Oncol.,2016

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