Objective To investigate the predictive value of dual-energy CT quantitative parameters for assessing the short-term treatment efficacy of second-generation epidermal growth factor receptor-tyrosine kinase inhibitors(EGFR-TKIs)in patients with advanced lung adenocarcinoma.Methods A total of 77 patients with advanced lung adenocarcinoma who received second-generation EGFR-TKIs treatment were retrospectively included.All patients underwent non-contrast and contrast-enhanced dual-energy CT scans.The patients were divided into effective group(45 cases)and ineffective group(32 cases).The clinical data and CT morpho-logical features of the patients were collected,and the iodine concentration(ICA,ICV),normalized iodine concentration(NICA,NICV),and spectral curve slope(kA,kV)in the arterial and venous phases were obtained.The predictive model was constructed using statistically significant intergroup differences,and the predictive performance of the model was evaluated via the area under the curve(AUC)of the receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).Results Signifi-cant differences were observed in ICA 90 keV,ICA 150 keV,kA and NICA 90 keV,NICA 150 keV between the effective group and the ineffective group(P<0.05).Univariate and multivariate logistic regression analyses identified that ICA 90 keV and ICA 150 keV as independent predictors of the short-term treatment efficacy of second-generation EGFR-TKIs.The AUC of the logistic regression model was 0.96[(95%confidence interval(CI)0.87-0.97].Conclusion The quantitative parameters of dual-energy CT can predict the short-term therapeutic efficacy of EGFR-TKIs in advanced lung adenocarcinoma to a certain extent.

Objective To investigate the predictive value of dual-energy CT quantitative parameters for assessing the short-term treatment efficacy of second-generation epidermal growth factor receptor-tyrosine kinase inhibitors(EGFR-TKIs)in patients with advanced lung adenocarcinoma.Methods A total of 77 patients with advanced lung adenocarcinoma who received second-generation EGFR-TKIs treatment were retrospectively included.All patients underwent non-contrast and contrast-enhanced dual-energy CT scans.The patients were divided into effective group(45 cases)and ineffective group(32 cases).The clinical data and CT morpho-logical features of the patients were collected,and the iodine concentration(ICA,ICV),normalized iodine concentration(NICA,NICV),and spectral curve slope(kA,kV)in the arterial and venous phases were obtained.The predictive model was constructed using statistically significant intergroup differences,and the predictive performance of the model was evaluated via the area under the curve(AUC)of the receiver operating characteristic(ROC)curves,calibration curves,and decision curve analysis(DCA).Results Signifi-cant differences were observed in ICA 90 keV,ICA 150 keV,kA and NICA 90 keV,NICA 150 keV between the effective group and the ineffective group(P<0.05).Univariate and multivariate logistic regression analyses identified that ICA 90 keV and ICA 150 keV as independent predictors of the short-term treatment efficacy of second-generation EGFR-TKIs.The AUC of the logistic regression model was 0.96[(95%confidence interval(CI)0.87-0.97].Conclusion The quantitative parameters of dual-energy CT can predict the short-term therapeutic efficacy of EGFR-TKIs in advanced lung adenocarcinoma to a certain extent.