Factors That Predict the Burden of Axillary Disease in Breast Cancer Patients With a Positive Sentinel Node
| Autor: | John W Wilson, Sushil Beriwal, Belma Kocer, Gretchen M. Ahrendt, Atilla Soran, Ronald Johnson |
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| Rok vydání: | 2008 |
| Předmět: |
Adult
Cancer Research medicine.medical_specialty Axillary lymph nodes medicine.medical_treatment Breast Neoplasms Axillary Disease Breast cancer Humans Medicine Aged Retrospective Studies Aged 80 and over Sentinel Lymph Node Biopsy business.industry Carcinoma Ductal Breast Middle Aged Sentinel node Prognosis medicine.disease Surgery Radiation therapy Carcinoma Lobular medicine.anatomical_structure Oncology Lymphatic Metastasis Axilla Female Lymph Nodes Radiology business |
| Zdroj: | American Journal of Clinical Oncology. 31:34-38 |
| ISSN: | 0277-3732 |
| Popis: | This study identifies clinical and pathologic factors predictive of havingor =4 involved axillary lymph nodes in breast cancer patients with a positive sentinel node. These factors may influence radiation therapy decisions.We reviewed the records of 201 patients with positive SLN who underwent axillary dissection; 34 of these patients hador =4 positive axillary lymph nodes. Factors associated withor = 4 lymph nodes were evaluated by chi(2) test, and multivariate logistic regression model was used to identify independent factors.On univariate analysis, presence of lymphovascular space invasion, extracapsular extension, increased number of positive SLN, increased size of tumor, macrometastases within the SLN, and decreased number of negative SLN were all significantly associated with havingor = 4 involved axillary lymph nodes. On multivariate analysis, presence of extracapsular extension (odds ratio [OR] = 3.76, P = 0.004), increased number of positive SLN (OR = 3.99, P = 0.006), increased size of tumor (OR = 3.33, P = 0.011 for size of 2.1 to 5 cm and OR = 8.28, P = 0.018 for size5 cm), and decreased number of negative SLN (OR = 2.62, P = 0.037) were found to be significant.We have identified primary tumor and SLN variables that predict for a greater probability of having a significant burden of residual disease in the axilla that may affect treatment recommendations. |
| Databáze: | OpenAIRE |
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