Literature DB >> 16244802

Can the Memorial Sloan-Kettering Cancer Center nomogram predict the likelihood of nonsentinel lymph node metastases in breast cancer patients in the Netherlands?

Marjolein L Smidt1, Deborah M Kuster, Gert Jan van der Wilt, Frederik B Thunnissen, Kimberley J Van Zee, Luc J A Strobbe.   

Abstract

BACKGROUND: According to Dutch guidelines, an axillary lymph node dissection (ALND) is recommended whenever a sentinel lymph node (SLN) contains metastatic disease. However, only in approximately 50% of patients with metastatic disease in the SLN are additional nodal metastases detected in the completion ALND. To identify the individual patient's risk for non-SLN metastases, a nomogram containing eight predictors was developed by the Breast Service of Memorial Sloan-Kettering Cancer Center (New York, NY). The aim of this study was to test the accuracy of the nomogram on a population of Dutch breast cancer patients.
METHODS: Patient, tumor, and SLN metastasis characteristics were collected for 222 consecutive patients who underwent a completion ALND. The data of the index and test populations were compared. A receiver operating characteristic curve was drawn, and the area under the curve was calculated to assess the discriminative power of the nomogram.
RESULTS: Even though our patient population differed in many respects from the source population, the area under the receiver operating characteristic curve amounted to .77, a value very much comparable to the one found in the source population.
CONCLUSIONS: The nomogram provides a fairly accurate predicted probability for the likelihood of non-SLN metastases in a general population of breast cancer patients at a regional teaching hospital in The Netherlands. This suggests that the nomogram's originally calculated predictive accuracy may be valid for patient populations that differ considerably from the population in which it was developed.

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Year:  2005        PMID: 16244802     DOI: 10.1245/ASO.2005.07.022

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  20 in total

1.  Memorial Sloan-Kettering Cancer Center Nomogram to predict the risk of non-sentinel lymph node metastasis in Japanese breast cancer patients.

Authors:  Tatsunari Sasada; Shigeru Murakami; Tsuyoshi Kataoka; Masahiro Ohara; Shinji Ozaki; Morihito Okada; Hideki Ohdan
Journal:  Surg Today       Date:  2011-12-14       Impact factor: 2.549

2.  Intraoperative assessment of sentinel node using imprint cytology.

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Journal:  World J Surg       Date:  2010-01       Impact factor: 3.352

Review 3.  Sentinel Lymph Nodes for Breast Carcinoma: A Paradigm Shift.

Authors:  Aoife Maguire; Edi Brogi
Journal:  Arch Pathol Lab Med       Date:  2016-08       Impact factor: 5.534

4.  Value of frozen section and primary tumor factors in determining sentinel lymph node spread in early breast carcinoma.

Authors:  Rajshekhar C Jaka; Shabber S Zaveri; S P Somashekhar; R V Parameswaran
Journal:  Indian J Surg Oncol       Date:  2010-08-07

5.  Comparison of two models for predicting non-sentinel lymph node metastases in sentinel lymph node-positive breast cancer patients.

Authors:  Giovanni D'Eredita'; Vito Leopoldo Troilo; Fernando Fischetti; Giuseppe Rubini; Tommaso Berardi
Journal:  Updates Surg       Date:  2011-05-31

6.  Sentinel lymph node biopsy in staging small (up to 15 mm) breast carcinomas. Results from a European multi-institutional study.

Authors:  Gábor Cserni; Simonetta Bianchi; Vania Vezzosi; Riccardo Arisio; Rita Bori; Johannes L Peterse; Anna Sapino; Isabella Castellano; Maria Drijkoningen; Janina Kulka; Vincenzo Eusebi; Maria P Foschini; Jean-Pierre Bellocq; Cristi Marin; Sten Thorstenson; Isabel Amendoeira; Angelika Reiner-Concin; Thomas Decker; Manuela Lacerda; Paulo Figueiredo; Gábor Fejes
Journal:  Pathol Oncol Res       Date:  2007-03-27       Impact factor: 3.201

7.  Prediction of involvement of sentinel and nonsentinel lymph nodes in a Canadian population with breast cancer.

Authors:  Ravi Ramjeesingh; May Lynn Quan; Sandra Gardner; Claire M B Holloway
Journal:  Can J Surg       Date:  2009-02       Impact factor: 2.089

8.  Predicting non-sentinel lymph node status after positive sentinel biopsy in breast cancer: what model performs the best in a Czech population?

Authors:  Oldrich Coufal; Tomás Pavlík; Pavel Fabian; Rita Bori; Gábor Boross; István Sejben; Róbert Maráz; Jaroslav Koca; Eva Krejcí; Iva Horáková; Vendula Foltinová; Pavlína Vrtelová; Vojtech Chrenko; Wolde Eliza Tekle; Mária Rajtár; Mihály Svébis; Vuk Fait; Gábor Cserni
Journal:  Pathol Oncol Res       Date:  2009-05-15       Impact factor: 3.201

9.  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

10.  Factors predicting additional disease in the axilla in patients with positive sentinel lymph nodes after neoadjuvant chemotherapy.

Authors:  Jacqueline S Jeruss; Lisa A Newman; Gregory D Ayers; Massimo Cristofanilli; Kristine R Broglio; Funda Meric-Bernstam; Min Yi; Jennifer F Waljee; Merrick I Ross; Kelly K Hunt
Journal:  Cancer       Date:  2008-06-15       Impact factor: 6.860

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