中华实验外科杂志
中華實驗外科雜誌
중화실험외과잡지
CHINESE JOURNAL OF EXPERIMENTAL SURGERY
2013年
8期
1714-1716
,共3页
薛军%黄晶%杨劲松%程晶%彭纲
薛軍%黃晶%楊勁鬆%程晶%彭綱
설군%황정%양경송%정정%팽강
乳腺癌%脑转移%危险因素%预测模型
乳腺癌%腦轉移%危險因素%預測模型
유선암%뇌전이%위험인소%예측모형
Breast cancer%Brain metastases%Risk factor%Predictive model
目的 探讨乳腺癌患者发生脑转移的危险因素和利用Logistic回归模型预测乳腺癌脑转移概率.方法 对165例乳腺癌患者的年龄、分期、雌激素受体(ER)、孕激素受体(PR)及人类表皮生长因子受体-2(Her-2)评分、月经状态、是否进行辅助化疗、远处第一转移灶、无转移生存期进行分析,建立乳腺癌脑转移预测模型.结果 确诊年龄< 35岁、腋淋巴结转移数≥4个、ER阴性、Her-2阳性是乳腺癌发生脑转移的独立危险因素(P<0.05).获得的预测模型的预测能力为0.783±0.037,预测脑转移发生的灵敏度、特异度可分别达0.786和0.765.结论 临床可利用该模型预测乳腺癌患者脑转移的概率,且预测概率≥0.75.
目的 探討乳腺癌患者髮生腦轉移的危險因素和利用Logistic迴歸模型預測乳腺癌腦轉移概率.方法 對165例乳腺癌患者的年齡、分期、雌激素受體(ER)、孕激素受體(PR)及人類錶皮生長因子受體-2(Her-2)評分、月經狀態、是否進行輔助化療、遠處第一轉移竈、無轉移生存期進行分析,建立乳腺癌腦轉移預測模型.結果 確診年齡< 35歲、腋淋巴結轉移數≥4箇、ER陰性、Her-2暘性是乳腺癌髮生腦轉移的獨立危險因素(P<0.05).穫得的預測模型的預測能力為0.783±0.037,預測腦轉移髮生的靈敏度、特異度可分彆達0.786和0.765.結論 臨床可利用該模型預測乳腺癌患者腦轉移的概率,且預測概率≥0.75.
목적 탐토유선암환자발생뇌전이적위험인소화이용Logistic회귀모형예측유선암뇌전이개솔.방법 대165례유선암환자적년령、분기、자격소수체(ER)、잉격소수체(PR)급인류표피생장인자수체-2(Her-2)평분、월경상태、시부진행보조화료、원처제일전이조、무전이생존기진행분석,건립유선암뇌전이예측모형.결과 학진년령< 35세、액림파결전이수≥4개、ER음성、Her-2양성시유선암발생뇌전이적독립위험인소(P<0.05).획득적예측모형적예측능력위0.783±0.037,예측뇌전이발생적령민도、특이도가분별체0.786화0.765.결론 림상가이용해모형예측유선암환자뇌전이적개솔,차예측개솔≥0.75.
Objective To investigate the risk factors of brain metastases of breast cancer and predictive ability of the predictive model of brain metastases in breast cancer.Methods All the 165 breast cancer patients were analyzed for age,stage,estrogen receptor (ER),progesterone receptor (PR),human epidermal growth factor receptor-2 (Her-2),number of metastasic axillary menstrual status,adjuvant chemotherapy regimen,first sites of metastasis and metastasis-free survival.Results Younger than 35 years old at diagnosis,more than or equal to four metastatic axillary nodes,negative estrogen receptor and postive Herb-2 were independent risk factors associated with brain metastases of breast cancer.The predictive ability of the predictive model,which was measured as area under the curve,was 0.783 ±0.037,and the sensitivity and specificity for predicting the occurrence of brain metastases were 0.786 and 0.765 respectively.Conclusion The predictive model can be used for predicting the occurrence of brain metastases of breast cancer.