Literature DB >> 17708546

Low performance of the MSKCC nomogram in preoperatively ultrasonically negative axillary lymph node in breast cancer patients.

Janez Zgajnar1, Andraz Perhavec, Marko Hocevar, Maja Podkrajsek, Kristijana Hertl, Snjezana Frkovic-Grazio, Maja Pohar, Nikola Besic.   

Abstract

BACKGROUND AND OBJECTIVES: In order to predict the nonsentinel lymph node (NSLN) metastases in sentinel lymph node (SLN) positive patients a nomogram was created at the Memorial Sloan Kettering Cancer Centre (MSKCC). The aim of our study was to validate the MSKCC nomogram in patients grouped by the preoperative ultrasound (US) examination of the axillary lymph nodes.
METHODS: The MSKCC nomogram was validated separately in three groups of patients: (US-0) only clinically preoperatively negative axillary lymph nodes (126 patients), (US-1) US negative axillary lymph nodes (109 patients), and (US-2) US suspicious but fine needle aspiration biopsy (FNAB) negative axillary lymph nodes (41 patients).
RESULTS: The predicted probability underestimates the actual probability with the mean absolute error equal to 0.116 in the US-0 group (P = 0.003), and overestimates the actual probability (mean absolute error equal to 0.084) in US-1 group (P = 0.033) and US-2 group (mean absolute error is 0.110) (P = 0.275).
CONCLUSION: We found that the MSKCC nomogram overestimates the probability of the NSLN metastases in breast cancer patients with (i) preoperatively US negative or (ii) US suspicious, but FNAB negative axillary lymph nodes. We also found that MSKCC nomogram has only limited value in patients with only clinically negative axillary lymph nodes.

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Year:  2007        PMID: 17708546     DOI: 10.1002/jso.20835

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  5 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.  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

3.  Multicenter validation of two nomograms to predict non-sentinel node involvement in breast cancer.

Authors:  Antonio Piñero; Manuel Canteras; Arancha Moreno; Francisco Vicente; Julia Giménez; Ana Tocino; Edelmiro Iglesias; Sergi Vidal-Sicart; Luzdivina Santamaría; Miguel Lorenzo; Manuel García; Diego Ramirez
Journal:  Clin Transl Oncol       Date:  2012-07-25       Impact factor: 3.405

4.  A new and simple predictive formula for non-sentinel lymph node metastasis in breast cancer patients with positive sentinel lymph nodes, and validation of 3 different nomograms in Turkish breast cancer patients.

Authors:  Levent Yeniay; Erdem Carti; Can Karaca; Osman Zekioglu; Ulkem Yararbas; Rasih Yilmaz; Murat Kapkac
Journal:  Breast Care (Basel)       Date:  2012-10       Impact factor: 2.860

5.  A nomogram to predict the probability of axillary lymph node metastasis in female patients with breast cancer in China: A nationwide, multicenter, 10-year epidemiological study.

Authors:  Jian Zhang; Xiao Li; Rong Huang; Wei-Liang Feng; Ya-Nan Kong; Feng Xu; Lin Zhao; Qing-Kun Song; Jing Li; Bao-Ning Zhang; Jin-Hu Fan; You-Lin Qiao; Xiao-Ming Xie; Shan Zheng; Jian-Jun He; Ke Wang
Journal:  Oncotarget       Date:  2017-05-23
  5 in total

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