Magnetic resonance imaging-based deep-learning radiomics score for survival prediction and risk stratification in pediatric hepatoblastoma receiving surgical resection

Figure 2 Nomogram and Kaplan-Meier plots of deep learning-based radiomics score for event-free survival in hepatoblastoma patients receiving surgical resection. A: Nomogram developed by significant clinical variables and deep learning-based radiomics score to predict event risks in the training cohort; B-D: Kaplan-Meier plots of deep learning-based radiomics score (B), and stratified by 2017 PRE-Treatment EXTent of tumor stage (C) and serum alpha-fetoprotein concentration (D) on event-free survival compared by log-rank tests in the training (left) and testing (right) cohorts, respectively. PRETEXT: 2017 PRE-Treatment EXTent of tumor; AFP: Alpha-fetoprotein; DLBR: Deep learning-based radiomics.