BACKGROUND: The majority of breast cancer patients with metastatic sentinel lymph node (SLN) do not harbor additional metastasis in non-SLN. It is unclear which patients with metastatic SLN require axillary lymph node dissection (ALND). The aim of this study was to identify predictive factors of non-SLN metastasis and to develop a scoring system. METHODS: The training dataset consisted of 184 breast cancer patients. The independent validation dataset consisted of 82 breast cancer patients. The receiver operating characteristic (ROC) curve was drawn and the area under the ROC curve (AUC) was calculated to assess the discriminative power of the scoring systems. RESULTS: Multivariate analysis revealed that non-SLN status was predicted by preoperative ultrasonographic findings of the axilla, lymphovascular invasion, increasing tumor size, increasing number of metastatic SLN, and decreasing number of nonmetastatic SLN. Based on multivariate logistic regression, we developed a scoring system for predicting non-SLN metastasis. The AUC for our scoring system was superior to other published scoring systems when identical validation data were applied. CONCLUSION: The likelihood of metastatic non-SLN correlated with preoperative ultrasonographic findings of the axilla, increasing pathologic size of the primary tumor, presence of lymphovascular invasion, increasing number of metastatic SLN, and decreasing number of nonmetastatic SLN. Our scoring system appears to be effective and accurate for selecting patients for whom ALND can be avoided.
BACKGROUND: The majority of breast cancerpatients with metastatic sentinel lymph node (SLN) do not harbor additional metastasis in non-SLN. It is unclear which patients with metastatic SLN require axillary lymph node dissection (ALND). The aim of this study was to identify predictive factors of non-SLN metastasis and to develop a scoring system. METHODS: The training dataset consisted of 184 breast cancerpatients. The independent validation dataset consisted of 82 breast cancerpatients. The receiver operating characteristic (ROC) curve was drawn and the area under the ROC curve (AUC) was calculated to assess the discriminative power of the scoring systems. RESULTS: Multivariate analysis revealed that non-SLN status was predicted by preoperative ultrasonographic findings of the axilla, lymphovascular invasion, increasing tumor size, increasing number of metastatic SLN, and decreasing number of nonmetastatic SLN. Based on multivariate logistic regression, we developed a scoring system for predicting non-SLN metastasis. The AUC for our scoring system was superior to other published scoring systems when identical validation data were applied. CONCLUSION: The likelihood of metastatic non-SLN correlated with preoperative ultrasonographic findings of the axilla, increasing pathologic size of the primary tumor, presence of lymphovascular invasion, increasing number of metastatic SLN, and decreasing number of nonmetastatic SLN. Our scoring system appears to be effective and accurate for selecting patients for whom ALND can be avoided.
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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
Authors: Gábor Cserni; Rita Bori; Róbert Maráz; Marjut H K Leidenius; Tuomo J Meretoja; Paivi S Heikkila; Peter Regitnig; Gero Luschin-Ebengreuth; Janez Zgajnar; Andraz Perhavec; Barbara Gazic; György Lázár; Tibor Takács; András Vörös; Riccardo A Audisio Journal: Pathol Oncol Res Date: 2012-07-14 Impact factor: 3.201
Authors: Nele Adriaenssens; Vincent Vinh-Hung; Geertje Miedema; Harijati Versmessen; Jan Lamote; Marian Vanhoeij; Pierre Lievens; Hilde van Parijs; Guy Storme; Mia Voordeckers; Mark De Ridder Journal: Breast Cancer (Auckl) Date: 2012-07-30