Fig. 4: Spatial-related T10S is an excellent recurrence predictor. | npj Precision Oncology

Fig. 4: Spatial-related T10S is an excellent recurrence predictor.

From: Deep learning-based detection and semi-quantitative model for spread through air spaces (STAS) in lung adenocarcinoma

Fig. 4

A–C DFS curves for LUAD patients with STAS positive versus STAS negative; p-value reflects Log Rank testing. A All patients (n = 268, p = 0.0042). B Stage IA patients (n = 150, p = 0.0016). C Stage IB patients (n = 118, p = 0.42). D–F DFS curves for LUAD patients with T10S high versus T10S low. D All patients (n = 268, p = 0.00000028). E Stage IA patients (n = 150, p = 0.0010). F Stage IB patients (n = 118, p = 0.0000046). G C-index of T10S and STAS in the total cohort (T10S, C-index = 0.633 95% CI = 0.586–0.680), (STAS, C-index = 0.561, 95% CI = 0.513–0.609). H–J Time-dependent ROC curve analyses on the LUAD patients for predicting 1-, 2-, and 3-year DFS.

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