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The preoperative prediction value of dual-energy CT-based nomogram in human epidermal growth factor receptor 2 status of breast cancer / 实用放射学杂志
Journal of Practical Radiology ; (12): 381-384, 2024.
Article en Zh | WPRIM | ID: wpr-1020220
Biblioteca responsable: WPRO
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.
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Texto completo: 1 Índice: WPRIM Idioma: Zh Revista: Journal of Practical Radiology Año: 2024 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Idioma: Zh Revista: Journal of Practical Radiology Año: 2024 Tipo del documento: Article