Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster display

3465 - Predictive factors for nonsentinel lymph node metastasis in patients with positive sentinel lymph nodes after neoadjuvant chemotherapy


10 Oct 2016


Poster display


Jai Min Ryu


Annals of Oncology (2016) 27 (6): 68-99. 10.1093/annonc/mdw365


J.M. Ryu, S.J. Nam, J.E. Lee, J. Yu, S.K. Lee, S.Y. Bae, H. Paik, S. Park

Author affiliations

  • Surgery, Samsung Medical Center Sungkyunkwan University School of Medicine, 135-710 - Seoul/KR


Abstract 3465


Axillary lymph node (ALN) status is an important prognostic factor for breast cancer patients. With increasing numbers of patients undergoing neoadjuvant chemotherapy (NAC), issues concerning sentinel lymph node biopsy (SLNB) after NAC have emerged. We analyzed clinicopathological features and developed a nomogram to predict the possibility of nonsentinel lymph node (NSLN) metastases in patients with positive SLNs after NAC.


A retrospective chart review was performed for 141 patients who were clinically ALN positive at presentation, had a positive SLN after NAC on subsequent SLNB, and underwent axillary lymph node dissection (ALND) between 2008 and 2014.


On univariate analysis, SLN metastasis size, clinical ALN status after NAC, lymphovascular invasion (LVI), number of positive SLNs, number of negative SLNs, and pathologic T stage were significantly associated with likelihood of NSLN metastases (P 


The NAC nomogram was developed to predict the likelihood of additional positive NSLNs because this information may help dictate appropriate axillary surgery in the future as we strive to safely minimize axillary morbidity.

Clinical trial identification

Legal entity responsible for the study



This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea. (HI14C3418)


All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings