Literature DB >> 22975214

Assessment of the Memorial Sloan-Kettering Cancer Center nomogram to predict sentinel lymph node metastases in a Dutch breast cancer population.

R F D van la Parra1, C M T P Francissen, P G M Peer, M F Ernst, W K de Roos, K J Van Zee, K Bosscha.   

Abstract

AIM: Sentinel lymph node (SLN) biopsy is an accepted alternative to axillary lymph node dissection to assess the axillary tumour status in breast cancer patients. Memorial Sloan-Kettering Cancer Center (MSKCC) developed a nomogram to predict the likelihood of SLN metastases in breast cancer patients. Nomogram performance was tested on a Dutch population.
METHODS: Data of 770 breast cancer patients who underwent successful SLN biopsy were collected. SLN metastases were present in 222 patients. A receiver operating characteristic (ROC) curve was drawn and the area under the curve was calculated to assess the discriminative ability of the MSKCC nomogram. A calibration plot was drawn to compare actual versus nomogram-predicted probabilities.
RESULTS: The area under the ROC curve for the predictive nomogram was 0.67 (95% confidence interval 0.63-0.72) as compared to 0.75 in the original population. The nomogram was well-calibrated in the Dutch population.
CONCLUSIONS: In a Dutch population, the MSKCC nomogram estimated risk of sentinel node metastases in breast cancer patients well (i.e. calibration) with reasonable discrimination (area under ROC curve). Nomogram performance on core needle biopsy data has to be evaluated prospectively.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22975214     DOI: 10.1016/j.ejca.2012.04.025

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  8 in total

1.  Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.

Authors:  Chunling Liu; Jie Ding; Karl Spuhler; Yi Gao; Mario Serrano Sosa; Meghan Moriarty; Shahid Hussain; Xiang He; Changhong Liang; Chuan Huang
Journal:  J Magn Reson Imaging       Date:  2018-09-01       Impact factor: 4.813

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.  Nomograms for Predicting Axillary Lymph Node Status Reconciled With Preoperative Breast Ultrasound Images.

Authors:  Dongmei Liu; Yujia Lan; Lei Zhang; Tong Wu; Hao Cui; Ziyao Li; Ping Sun; Peng Tian; Jiawei Tian; Xia Li
Journal:  Front Oncol       Date:  2021-04-07       Impact factor: 6.244

4.  Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram.

Authors:  Ying Liu; Xing Li; Lina Zhu; Zhiwei Zhao; Tuan Wang; Xi Zhang; Bing Cai; Li Li; Mingrui Ma; Xiaojian Ma; Jie Ming
Journal:  Contrast Media Mol Imaging       Date:  2022-08-18       Impact factor: 3.009

5.  Validation of the Skåne University Hospital nomogram for the preoperative prediction of a disease-free axilla in patients with breast cancer.

Authors:  S Majid; P-O Bendahl; L Huss; J Manjer; L Rydén; L Dihge
Journal:  BJS Open       Date:  2021-05-07

6.  Impact of tumor chronology and tumor biology on lymph node metastasis in breast cancer.

Authors:  Ann Smeets; Andries Ryckx; Ann Belmans; Hans Wildiers; Patrick Neven; Giuseppe Floris; Patrick Schöffski; Marie-Rose Christiaens
Journal:  Springerplus       Date:  2013-09-23

7.  Validation of Six Nomograms for Predicting Non-sentinel Lymph Node Metastases in a Dutch Breast Cancer Population.

Authors:  Siem A Dingemans; Peter D de Rooij; Roos M van der Vuurst de Vries; Leo M Budel; Caroline M Contant; Anne E M van der Pool
Journal:  Ann Surg Oncol       Date:  2015-09-14       Impact factor: 5.344

8.  Additional non-sentinel lymph node metastases in early oral cancer patients with positive sentinel lymph nodes.

Authors:  Inne J Den Toom; Elisabeth Bloemena; Stijn van Weert; K Hakki Karagozoglu; Otto S Hoekstra; Remco de Bree
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-08-25       Impact factor: 2.503

  8 in total

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