Predicting level 2 axillary lymph node metastasis in a Chinese breast cancer population post-neoadjuvant chemotherapy: development and assessment of a new predictive nomogram.
Predicting level 2 axillary lymph node metastasis in a Chinese breast cancer population post-neoadjuvant chemotherapy: development and assessment of a new predictive nomogram.
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预测中国乳腺癌人群新辅助化疗后 2 级腋窝淋巴结转移:新预测列线图的开发和评估
DOI:
10.18632/oncotarget.16131
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发表时间:
2017-10-03
期刊:
影响因子:
--
通讯作者:
Guo Q
中科院分区:
文献类型:
--
作者:
Liu C;Jiang Y;Gu X;Xu Z;Ai L;Zhang H;Chen G;Sun L;Li Y;Xu H;Gu H;Yu Y;Xu Y;Guo Q
Background We aimed to develop a new nomogram to predict the probability of level 2 axillary lymph node metastasis (L-2-ALNM) in breast cancer (BC) patients treated with neoadjuvant chemotherapy (NAC). Methods Data were collected from 709 patients who received neoadjuvant chemotherapy and then underwent axillary lymph node (ALN) dissection between May 2009 and December 2015 at the Liaoning Cancer Hospital. The level 2 axillary lymph node metastasis (L-2-ALNM ) nomogram was created from the logistic regression model. An additional set of 141 consecutive patients treated at the same institution between January 2015 and December 2015 were enrolled as the validation group. The predictive accuracy of the L-2-ALNM nomogram was measured by calculating the area under the receiver operating characteristic curve (AUC). Results In multivariate analysis, age, tumor size, histological grade, skin invasion, and response to neoadjuvant chemotherapy were identified as independent predictors of L-2-ALNM. The new model was accurate and discriminating for both the modeling and validation groups (AUC: 0.819 vs 0.849). The false-negative rates of the L-2-ALNM nomogram were 4.44% and 7.69% for the predicted probability cut-off points of 10% and 20%. Conclusion The L-2-ALNM nomogram shows reasonable accuracy for making clinical decisions. The omission of level 2 axillary lymph node dissection after neoadjuvant chemotherapy might be possible if the probability of level 2 lymph node involvement was < 10% or < 20% in accordance with the acceptable risk determined by medical staff and patients.
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影响因子:
4.6
作者:
Jin X;Jiang YZ;Chen S;Shao ZM;Di GH
通讯作者:
Di GH
影响因子:
45.3
作者:
Rouzier, R;Extra, JM;Bourstyn, E
通讯作者:
Bourstyn, E
DOI:
10.3390/s120709936
发表时间:
2012
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
Xie F;Yang H;Wang S;Zhou B;Tong F;Yang D;Zhang J
通讯作者:
Zhang J
影响因子:
3.8
作者:
Chen, Jia-ying;Chen, Jia-jian;Wu, Jiong
通讯作者:
Wu, Jiong
影响因子:
2.5
作者:
Ashikaga, Takamaru;Krag, David N.;Land, Stephanie R.;Julian, Thomas B.;Anderson, Stewart J.;Brown, Ann M.;Skelly, Joan M.;Harlow, Seth P.;Weaver, Donald L.;Mamounas, Eleftherios P.;Costantino, Joseph P.;Wolmark, Norman
通讯作者:
Wolmark, Norman