Fig. 6 | Scientific Reports

Fig. 6

From: CT-based radiomics and deep learning models for predicting thyroid cartilage invasion and patient prognosis in laryngeal carcinoma

Fig. 6

The relationship between 2D DL signature and patient prognosis inn the whole cohort. (A) The 2D DL signature and clinical N stage were found to be independent prognostic factors for LSCC patients, and a corresponding nomogram was developed. Survival analysis stratified by the optimal cut-off value of 2D DL signature (B) and clinical N stage (C) in the whole cohort. Patients with high 2D DL signature or clinical N stage positive (cN+) status had poorer DFS (p < 0.05, log-rank test). (D) Forest plot illustrating multivariable cox regression analyses for prognosis in the whole cohort. (E) Time-dependent ROC curves of the nomogram in the whole cohort.

Back to article page