Validation of Three Breast Cancer Nomograms and a New Formula for Predicting Non-sentinel Lymph Node Status

Derici, Serhan; Sevinc, Ali; Harmancioglu, Omer; Saydam, Serdar; Kocdor, Mehmet; Aksoy, Suleyman; Egeli, Tufan; Canda, Tulay; Ellidokuz, Hulya; Derici, Solen

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자료유형: 학술저널

저자정보: Derici, Serhan (Akcaabat State Hospital) Sevinc, Ali (Dokuz Eylul University Hospital) Harmancioglu, Omer (Dokuz Eylul University Hospital) Saydam, Serdar (Dokuz Eylul University Hospital) Kocdor, Mehmet (Dokuz Eylul University Hospital) Aksoy, Suleyman (Tepecik Training and Research Hospital) Egeli, Tufan (Dokuz Eylul University Hospital) Canda, Tulay (Dokuz Eylul University Hospital) Ellidokuz, Hulya (Dokuz Eylul University Hospital) Derici, Solen (Akcaabat State Hospital)

저널정보: 아시아태평양암예방학회 Asian Pacific journal of cancer prevention : APJCP Asian Pacific journal of cancer prevention : APJCP 제13권 제12호

발행연도: 2012.1

수록면: 6,181 - 6,185 (5page)

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Background: The aim of the study was to evaluate the available breast nomograms (MSKCC, Stanford, Tenon) to predict non-sentinel lymph node metastasis (NSLNM) and to determine variables for NSLNM in SLN positive breast cancer patients in our population. Materials and Methods: We retrospectively reviewed 170 patients who underwent completion axillary lymph node dissection between Jul 2008 and Aug 2010 in our hospital. We validated three nomograms (MSKCC, Stanford, Tenon). The likelihood of having positive NSLNM based on various factors was evaluated by use of univariate analysis. Stepwise multivariate analysis was applied to estimate a predictive model for NSLNM. Four factors were found to contribute significantly to the logistic regression model, allowing design of a new formula to predict non-sentinel lymph node metastasis. The AUCs of the ROCs were used to describe the performance of the diagnostic value of MSKCC, Stanford, Tenon nomograms and our new nomogram. Results: After stepwise multiple logistic regression analysis, multifocality, proportion of positive SLN to total SLN, LVI, SLN extracapsular extention were found to be statistically significant. AUC results were MSKCC: 0.713/Tenon: 0.671/Stanford: 0.534/DEU: 0.814. Conclusions: The MSKCC nomogram proved to be a good discriminator of NSLN metastasis in SLN positive BC patients for our population. Stanford and Tenon nomograms were not as predictive of NSLN metastasis. Our newly created formula was the best prediction tool for discriminate of NSLN metastasis in SLN positive BC patients for our population. We recommend that nomograms be validated before use in specific populations, and more than one validated nomogram may be used together while consulting patients.

#Breast cancer #sentinel lymph node #nomogram #axillary dissection #non sentinel lymph node metastasis

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