Your browser doesn't support javascript.
loading
Analysis of predictors of axillary node metastases in 787 breast cancer patients / 中华肿瘤杂志
Zhonghua zhong liu za zhi ; (12): 67-69, 2011.
Article in Zh | WPRIM | ID: wpr-303365
Responsible library: WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To explore the predictors of axillary nodal metastass in patients with breast cancer.</p><p><b>METHODS</b>A retrospective study was performed using the clinicopathological data of breast cancer cases diagnosed and treated in our Hospital between Dec 2006 and Nov 2008. Logistic regression analysis was used to determine the predictors of axillary node positivity.</p><p><b>RESULTS</b>The total number of patients was 1133. 69.5% of them (787) had complete clinical and pathological data. The median age was 49 years old (range 20-85). The average number of lymph nodes removed was 14.6 per person. The average number of involved nodes was 3.5 per person. Increasing tumor size was associated with increased risk of lymph node metastases. Assessed by multivariate analysis, the tumor size, age, ER status, and pathological type were significantly associated with node metastasis.</p><p><b>CONCLUSIONS</b>Axillary nodal metastases are significantly affected by the tumor size, ER status, age, and pathological type in breast cancer patients.</p>
Subject(s)
Full text: 1 Index: WPRIM Main subject: Pathology / Axilla / General Surgery / Breast Neoplasms / Receptors, Estrogen / Logistic Models / Retrospective Studies / Carcinoma, Lobular / Carcinoma, Ductal, Breast / Carcinoma, Intraductal, Noninfiltrating Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans Language: Zh Journal: Zhonghua zhong liu za zhi Year: 2011 Type: Article
Full text: 1 Index: WPRIM Main subject: Pathology / Axilla / General Surgery / Breast Neoplasms / Receptors, Estrogen / Logistic Models / Retrospective Studies / Carcinoma, Lobular / Carcinoma, Ductal, Breast / Carcinoma, Intraductal, Noninfiltrating Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Aged / Aged80 / Female / Humans Language: Zh Journal: Zhonghua zhong liu za zhi Year: 2011 Type: Article