We tested whether pre-treatment standard DCE MRI imaging and clinical features can predict overall survival (OS) of 37 patients with primary lung cancer. Primary tumor volume (hazard ratio [HR] = 3.19 per 1-SD increase, P=0.001) and minimum intensity of the peak enhancement phase on DCE MRI (HR = 0.45, P=0.012) were significant predictors of OS on univariate Cox regression analysis. Univariate primary tumor volume model (c-index = 0.76, P=0.002) and multivariate LASSO Cox models based on DCE MRI features (c-index = 0.69, P=0.046) were positive predictors for OS with no statistically significant difference in performance (P=0.36).
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