中国肿瘤临床
中國腫瘤臨床
중국종류림상
CHINESE JOURNAL OF CLINICAL ONCOLOGY
2014年
8期
508-512
,共5页
曹迎明%刘淼%周波%潘璐%王殊%杨德起
曹迎明%劉淼%週波%潘璐%王殊%楊德起
조영명%류묘%주파%반로%왕수%양덕기
乳腺癌%前哨淋巴结%非前哨淋巴结%转移%预测
乳腺癌%前哨淋巴結%非前哨淋巴結%轉移%預測
유선암%전초림파결%비전초림파결%전이%예측
breast cancer%sentinel lymph node%non-sentinel lymph node%metastasis%prediction
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 lymph node,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。
目的:驗證紀唸斯隆-凱特琳癌癥中心(Memorial Sloan-Kettering Cancer Center,MSKCC)模型和斯坦福大學模型(Stan-ford Online Calculator,SOC)預測中國前哨淋巴結(sentinel lymph node,SLN)暘性乳腺癌患者非前哨淋巴結(non-sentinel lymph node,NSLN)轉移的能力併進行比較。方法:收集120例SLN暘性的乳腺癌病例驗證MSKCC和SOC模型,通過受試者工作特徵麯線(Receiver Operating Characteristic Curve,ROC麯線)下麵積(Area Under the Curve,AUC)、不同截斷值的預測能力來比較兩箇模型在中國乳腺癌患者中的應用價值。結果:用MSKCC和SOC模型驗證120例中國乳腺癌患者,AUC分彆為0.688和0.734。取10%為截斷值,MSKCC和SOC模型的假陰性率均為4.4%,陰性預測值分彆為75.0%和90.0%。取90.0%為截斷值,MSKCC和SOC模型的假暘性率分彆為0.0%和6.7%,暘性預測值分彆為100.0%和68.8%。結論:用MSKCC和SOC模型預測中國乳腺癌NSLN轉移,結果皆劣于原始研究,SOC模型的預測能力略優于MSKCC模型。
목적:험증기념사륭-개특림암증중심(Memorial Sloan-Kettering Cancer Center,MSKCC)모형화사탄복대학모형(Stan-ford Online Calculator,SOC)예측중국전초림파결(sentinel lymph node,SLN)양성유선암환자비전초림파결(non-sentinel lymph node,NSLN)전이적능력병진행비교。방법:수집120례SLN양성적유선암병례험증MSKCC화SOC모형,통과수시자공작특정곡선(Receiver Operating Characteristic Curve,ROC곡선)하면적(Area Under the Curve,AUC)、불동절단치적예측능력래비교량개모형재중국유선암환자중적응용개치。결과:용MSKCC화SOC모형험증120례중국유선암환자,AUC분별위0.688화0.734。취10%위절단치,MSKCC화SOC모형적가음성솔균위4.4%,음성예측치분별위75.0%화90.0%。취90.0%위절단치,MSKCC화SOC모형적가양성솔분별위0.0%화6.7%,양성예측치분별위100.0%화68.8%。결론:용MSKCC화SOC모형예측중국유선암NSLN전이,결과개렬우원시연구,SOC모형적예측능력략우우MSKCC모형。
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.