检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:曹迎明[1] 刘淼[1] 周波[1] 潘璐[1] 王殊[1] 杨德起[1]
机构地区:[1]北京大学人民医院乳腺中心,北京市100044
出 处:《中国肿瘤临床》2014年第8期508-512,共5页Chinese Journal of Clinical Oncology
摘 要:目的:验证纪念斯隆-凯特琳癌症中心(Memorial Sloan-Kettering Cancer Center,MSKCC)模型和斯坦福大学模型(Stan-ford Online Calculator,SOC)预测中国前哨淋巴结(sentinel lymph node,SLN)阳性乳腺癌患者非前哨淋巴结(non-sentinel lymphnode,NSLN)转移的能力并进行比较。方法:收集120例SLN阳性的乳腺癌病例验证MSKCC和SOC模型,通过受试者工作特征曲线(Receiver Operating Characteristic Curve,ROC曲线)下面积(Area Under the Curve,AUC)、不同截断值的预测能力来比较两个模型在中国乳腺癌患者中的应用价值。结果:用MSKCC和SOC模型验证120例中国乳腺癌患者,AUC分别为0.688和0.734。取10%为截断值,MSKCC和SOC模型的假阴性率均为4.4%,阴性预测值分别为75.0%和90.0%。取90.0%为截断值,MSKCC和SOC模型的假阳性率分别为0.0%和6.7%,阳性预测值分别为100.0%和68.8%。结论:用MSKCC和SOC模型预测中国乳腺癌NSLN转移,结果皆劣于原始研究,SOC模型的预测能力略优于MSKCC模型。Objective:The study aimed to validate the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram and Stan-ford Online Calculator (SOC) prediction of non-sentinel lymph node (NSLN) metastasis in Chinese patients with sentinel lymph node (SLN)-positive breast cancers. Methods:The MSKCC nomogram and SOC were used to calculate the probability of NSLN metastasis in 120 breast cancer patients who were positive for SLNs. The area under the receiver operating characteristic curves (AUC) for each model was evaluated. Patients with 10%and 90%probabilities of NSLN metastasis were separately examined. Results:The MSKCC and SOC predicted the likelihood of NSLN metastasis in a consecutive group of 120 patients with AUCs of 0.688 and 0.734, respective-ly. At the lowest probability cutoff value of 10%, the false-negative rates of MSKCC and SOC were both 4.4%, and the negative predic-tive values were 75.0%and 90.0%, respectively. When the highest probability cutoff value of 90%was used, the false-positive rates were 0.0%and 6.7%, and the positive predictive values were 100.0%and 68.8%, respectively. Conclusion:Results of the MSKCC no-mogram and SOC were inferior to those of previous studies on predicting NSLN metastasis in Chinese patients with breast cancers. The prediction ability of SOC was slightly superior to that of the MSKCC nomogram.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:13.58.173.156