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CW Chengzhi Wei
YH Yun He
ML Ma Luo
GC Guoming Chen
RN Runcong Nie
XC Xiaojiang Chen
ZZ Zhiwei Zhou
YC Yongming Chen
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Quantitative and categorical data on the clinicopathological characteristics of the two groups were depicted as mean ± standard deviation and frequency (%), respectively. Independent-sample t-test was performed to compare quantitative variables. Chi-square test was used to determine differences in categorical variables. Univariate logistic regression analysis was performed on 16 CT features, from which the statistically significant features tested were included on multivariate logistic regression model to construct the regression equations. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive accuracy of the CT features in differentiating responders from non-responders. Utility was evaluated using a decision curve analysis (DCA). We used SPSS 26.0 software (IBM Corp, NY, USA) and R version 4.1.2 software (The R Foundation for Statistical Computing, Vienna, Austria) for statistical analyses. A two-sided P < 0.05 was considered statistically significant.

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