Literature DB >> 23707626

Validation of Memorial Sloan-Kettering Cancer Center nomogram for prediction of non-sentinel lymph node metastasis in sentinel lymph node positive breast cancer patients an international comparison.

Yao-Lung Kuo1, Wen-Chung Chen, Wei-Jen Yao, Lili Cheng, Hui-Ping Hsu, Hung-Wen Lai, Shou-Jen Kuo, Dar-Ren Chen, Tsai-Wang Chang.   

Abstract

BACKGROUND: Current guidelines for breast cancer treatment recommend completion axillary lymph node dissection (CALND) following in case of positive sentinel lymph node (SLN) metastasis, which only in 35%-70% shows additional nodal metastases. Several nomograms and scoring systems have been created to predict the risk of metastasis in non-SLNs. The aim of the study was to identify individual patient risk for non-sentinel lymph node metastasis by validating with MSKCC nomogram and to evaluate the variability within a group of SLN-positive breast cancer patients with the final goal of avoiding unnecessary CALND. PATIENTS AND METHODS: We retrospectively evaluated 1496 primary breast cancer patients. 324 women with a positive SLN who underwent CALND were identified. The predictive accuracy was measured and compared with the MSKCC nomogram by the area under the receiver operating characteristic curve. Receiver operating characteristic (ROC) curve was drawn on the basis of the sensitivity and specificity, and the area under the curve (AUC) was calculated.
RESULTS: At least one metastatic non-SLN were identified in 88/324 (27.2%) patients. Tumor size, tumor type, tumor grade, number of positive SLNs and number of negative SLNs were significantly associated with non-SLN status in multivariate analyses. The MSKCC nomogram showed an AUC value of 0.738 (95% confidence interval = 0.682-0.793) after the validation for our collectives.
CONCLUSIONS: The MSKCC nomogram showed a good prediction for the non-SLN metastasis and performed adequately in our patient collective. Therefore, for the use of nomogram, validation with other populations of patients is strongly suggested.
Copyright © 2013 Surgical Associates Ltd. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Nomogram; Prediction of non-sentinel lymph node Metastasis

Mesh:

Year:  2013        PMID: 23707626     DOI: 10.1016/j.ijsu.2013.05.005

Source DB:  PubMed          Journal:  Int J Surg        ISSN: 1743-9159            Impact factor:   6.071


  6 in total

1.  Evaluation of the Probability of Non-sentinel Lymph Node Metastasis in Breast Cancer Patients with Sentinel Lymph Node Metastasis using Two Different Methods.

Authors:  İrfan Başoğlu; Muhammet Ferhat Çelik; Ahmet Cem Dural; Mustafa Gökhan Ünsal; Cevher Akarsu; Halil Fırat Baytekin; Selin Kapan; Halil Alış
Journal:  J Breast Health       Date:  2015-10-01

2.  Factors Influencing Non-sentinel Node Involvement in Sentinel Node Positive Patients and Validation of MSKCC Nomogram in Indian Breast Cancer Population.

Authors:  Naveen Padmanabhan; Muhamed Faizal Ayub; Khadher Hussain; Ann Kurien; Selvi Radhakrishna
Journal:  Indian J Surg Oncol       Date:  2015-12-05

3.  Comparison of clinicopathological characteristics of lymph node positive and lymph node negative breast cancer.

Authors:  Naila Irum Hadi; Qamar Jamal
Journal:  Pak J Med Sci       Date:  2016 Jul-Aug       Impact factor: 1.088

4.  Impact of Size of the Tumour, Persistence of Estrogen Receptors, Progesterone Receptors, HER2Neu Receptors and Ki67 Values on Positivity of Axillary Lymph Nodes in Patients with Early Breast Cancer with Clinically Negative Axillary Examination.

Authors:  Borislav Kondov; Rosalinda Isijanovska; Zvonko Milenkovikj; Gordana Petrusevska; Marija Jovanovski-Srceva; Magdalena Bogdanovska-Todorovska; Goran Kondov
Journal:  Open Access Maced J Med Sci       Date:  2017-10-26

5.  Imaging Predictors for Nonsentinel Lymph Node Metastases in Breast Cancer Patients.

Authors:  Yizi Cong; Suxia Wang; Haidong Zou; Shiguang Zhu; Xingmiao Wang; Jianqiao Cao; Ji Wang; Yanqing Liu; Guangdong Qiao
Journal:  Breast Care (Basel)       Date:  2019-10-29       Impact factor: 2.860

6.  Predictors of nonsentinel lymph node metastasis in patients with breast cancer with metastasis in the sentinel node.

Authors:  Yidong Zhou; Xin Huang; Feng Mao; Yan Lin; Songjie Shen; Jinghong Guan; Xiaohui Zhang; Qiang Sun
Journal:  Medicine (Baltimore)       Date:  2019-01       Impact factor: 1.889

  6 in total

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