Predictive factors of brain metastasis in patients with breast cancer
作者： Jun Xue , Gang Peng , Jing-Song Yang , Qian Ding , Jing Cheng
DOI: 10.1007/S12032-012-0337-2
关键词: Receiver operating characteristic 、 Univariate 、 Oncology 、 Hematology 、 Medicine 、 In patient 、 Metastasis 、 Internal medicine 、 Brain metastasis 、 Logistic regression 、 Breast cancer 、 Cancer research 、 General Medicine
摘要: The aim of this study is to determine the risk factors associated with metastasis brain primary breast cancer patients and evaluate a predictive model. clinicopathological characteristics 206 were analyzed retrospectively univariate multivariate logistic regression A model was generated, its validity evaluated receiver operating characteristic (ROC) curve. Independent for in were: being younger than 35 years old at time diagnosis, having four or more metastatic axillary nodes, estrogen receptor-negative, 24 months metastasis-free survival. value model, measured as area under ROC curve, 0.765 ± 0.040 (95 % CI 0.688–0.842). When 0.8 considered cutoff point probability calculated by sensitivity specificity predicting occurrence metastases these 0.769 0.713, respectively. constructed can be used forecast cancer. Patients level ≥0.8 could treated preventively metastases.
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