中国癌症杂志
中國癌癥雜誌
중국암증잡지
CHINA ONCOLOGY
2013年
9期
765-771
,共7页
姚儒%潘博%孙强%徐颖%王常珺%周易冬%茅枫%林燕
姚儒%潘博%孫彊%徐穎%王常珺%週易鼕%茅楓%林燕
요유%반박%손강%서영%왕상군%주역동%모풍%림연
乳腺癌%列线图%前哨淋巴结%非前哨淋巴结%转移%预测
乳腺癌%列線圖%前哨淋巴結%非前哨淋巴結%轉移%預測
유선암%렬선도%전초림파결%비전초림파결%전이%예측
Breast cancer%Nomogram%Sentinel lymph node%Non-sentinel lymph node%Metastasis%Prediction
乳腺癌是危害全世界女性健康最常见的恶性肿瘤,对乳腺癌患者淋巴结转移情况及个体化预后进行评估预测,可为个体化综合治疗方案的制定以及临床决策提供参考依据。列线图模型(nomogram)可通过各种预测因素量化临床事件风险。从nomogram在前哨淋巴结阳性患者非前哨淋巴结转移预测、早期乳腺癌前哨淋巴结转移预测以及乳腺癌个体化预后预测等3个方面,分别评价其预测因素、应用特点以及预测的准确性等指标,以期在未来的工作中,通过选择更合理的预测因素、调整不同预测因素所占权重,以建立、改良能更好地应用于临床预测的nomogram模型,为制定临床决策提供参考依据。现就乳腺癌相关列线图模型的最新研究进展作一综述。
乳腺癌是危害全世界女性健康最常見的噁性腫瘤,對乳腺癌患者淋巴結轉移情況及箇體化預後進行評估預測,可為箇體化綜閤治療方案的製定以及臨床決策提供參攷依據。列線圖模型(nomogram)可通過各種預測因素量化臨床事件風險。從nomogram在前哨淋巴結暘性患者非前哨淋巴結轉移預測、早期乳腺癌前哨淋巴結轉移預測以及乳腺癌箇體化預後預測等3箇方麵,分彆評價其預測因素、應用特點以及預測的準確性等指標,以期在未來的工作中,通過選擇更閤理的預測因素、調整不同預測因素所佔權重,以建立、改良能更好地應用于臨床預測的nomogram模型,為製定臨床決策提供參攷依據。現就乳腺癌相關列線圖模型的最新研究進展作一綜述。
유선암시위해전세계녀성건강최상견적악성종류,대유선암환자림파결전이정황급개체화예후진행평고예측,가위개체화종합치료방안적제정이급림상결책제공삼고의거。렬선도모형(nomogram)가통과각충예측인소양화림상사건풍험。종nomogram재전초림파결양성환자비전초림파결전이예측、조기유선암전초림파결전이예측이급유선암개체화예후예측등3개방면,분별평개기예측인소、응용특점이급예측적준학성등지표,이기재미래적공작중,통과선택경합리적예측인소、조정불동예측인소소점권중,이건립、개량능경호지응용우림상예측적nomogram모형,위제정림상결책제공삼고의거。현취유선암상관렬선도모형적최신연구진전작일종술。
Breast cancer is the leading cause of malignancy-related mortality in women worldwide. The more accurate prediction of lymph node metastasis and evaluation of personalized prognosis of breast cancer patients could provide evidence and reference for individualized comprehensive treatment and clinical decision-making. Nomogram is statistical calculation model developed to generate individualized prediction of a certain clinical event through the factors associated with it. Currently breast cancer related nomogram models is most commonly used in the prediction of non-sentinel lymph node status in patients with sentinel lymph node-positive breast cancer, sentinel lymph node metastasis in clinical node-negative breast cancer and prognosis evaluation of breast cancer. This article reviewed the recent advances in breast cancer related nomograms according to the above mentioned three aspects, and evaluated respectively the predictive factors, accuracy, characteristics and clinical application potential.