Establishment of nomograms to predict shrinkage modes of primary breast tumor after neoadj uvant chemotherapy
10.13481/j.1671-587x.20140640
- VernacularTitle:乳腺癌新辅助化疗后原发肿瘤退缩模式预测列线图的建立
- Author:
Yanbing LIU
;
Tao YANG
;
Zhaopeng ZHANG
;
Chunjian WANG
;
Xiao SUN
;
Xiangyu SUN
;
Dianbin MU
;
Zhaoqiu CHEN
;
Yongsheng WANG
- Publication Type:Journal Article
- Keywords:
breast neoplasms;
neoadj uvant chemotherapy;
three-dimensional reconstruction;
shrinkage modes;
nomogram
- From:
Journal of Jilin University(Medicine Edition)
2014;(6):1319-1324
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the clinical variables associated with the shrinkage modes of primary breast tumor in women after neoadj uvant chemotherapy (NAC ), and to develop a nomogram for predicting non-concentric shrinkage mode(NCSM).Methods Sixty-one women with pathologically proven solitary invasive ductal carcinoma (ⅡA-ⅢC)were recruited. Breast specimen was prepared with PMSS, and residual tumors were microscopically outlined,scanned and registered by Photoshop CS 5 software.The 3D model of residual tumors was reconstructed with 3D-DOCTOR 4.0 software to evaluate the shrinkage mode.17 factors such as age and body mass index and menopausal status were chosen as independent variables,and the clinic-pathologic shrinkage mode was considered as dependent variable. A Logistic regression model was used to construct the nomogram. Results Primary tumor stage,lymph node down-staging, PR and mammographic malignant calcification before NAC were independent predictors of clinic-pathologic shrinkage mode (β:1.538,OR:4.656,95%CI:1.414-15.328,P=0.011;β:1.555,OR:4.735, 95%CI:1.082-20.722,P=0.039;β:-1.707, OR:0.181, 95%CI:0.044-0.741,P = 0.017;β:- 1.405, OR:3.808, 95% CI:0.06 - 0.998,P = 0.048, respectively ). The nomogram predicting the risk of NCSM showed a good concordance index(0.869),and its conformity of mean absolute error was 0.039. Conclusion Based on the clinicopathological findings of primary breast tumor, a nomogram to predict shrinkage modes after NAC in breast carcinoma patients is constructed.The statistical tool is helpful for individually selecting the patients who can be treated with BCT after NAC.
