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. 2020 Dec 23;156(2):e205601. doi: 10.1001/jamasurg.2020.5601

Figure 3. Computational Machine-Learning Prediction Model (PRecur) for Relapse-Free Survival (RFS) Applied to 2 Patient Scenarios.

Figure 3.

A, Patient with a small, 1.8-cm tumor (pT1bN0M0, stage IA). Three-year RFS curves were predicted by PRecur vs the TNM model for all patients with pT1bN0M0 in our cohort (n = 136). B, Patient with a large, 5.1-cm tumor (pT3N0M0, stage IIB). Three-year RFS curves were predicted by PRecur vs the TNM model for all patients with pT3N0M0 in our cohort (n = 53). FGA indicates fraction of genome altered; L, left; P, posterior; R, right; and TMB, tumor mutation burden.