The preoperative prediction value of dual-energy CT-based nomogram in human epidermal growth factor receptor 2 status of breast cancer
10.3969/j.issn.1002-1671.2024.03.009
- VernacularTitle:基于双能量CT的列线图在术前预测乳腺癌人表皮生长因子受体2状态的价值
- Author:
Haifeng YING
1
;
Guihan LIN
;
Weiyue CHEN
;
Dan LIU
;
Jiajun CHEN
;
Jiansong JI
Author Information
1. 温州医科大学附属第五医院放射科,浙江 丽水 323000
- Keywords:
breast cancer;
human epidermal growth factor receptor 2;
computed tomography
- From:
Journal of Practical Radiology
2024;40(3):381-384
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the application value of the nomogram based on dual-energy CT in preoperative evaluation of human epidermal growth factor receptor 2(HER-2)status in patient with breast cancer.Methods A total of 269 patients with pathologically confirmed breast cancer were retrospectively collected and randomly divided into a training cohort(n=189)and a validation cohort(n=80)at a ratio of 7︰3.The dual-energy CT parameters and clinical features of all patients were measured and collected.Varia-bles with significant difference in univariate analysis were included in the multivariate logistic analysis to obtain independent risk fac-tors related to HER-2 status,with establishing a nomogram model.Receiver operating characteristic(ROC)curves were plotted to evaluate the predictive performance of the nomogram.Results There was a significant difference in axillary lymph node enlargement between the two groups(P<0.05).The venous phase iodine concentration(IC)and normalized iodine concentration(NIC)in the HER-2 positive group were significantly higher than those in the HER-2 negative group(P<0.05).Axillary lymph node enlargement,venous phase IC,and venous phase NIC were the independent risk factors for predicting HER-2 status in breast cancer.The nomogram con-structed from the above features exhibited good predictive performance,with area under the curve(AUC)of 0.856 and 0.834 in the training and validation cohorts,respectively.Conclusion The nomogram based on dual-energy CT has a high predictive value for HER-2 status in breast cancer patients.
