Figure 5.
RadSig validation. (A) Kaplan-Meier curve of PFS according to the RadSig status, as calculated by using a different target lesion, that is, the most FDG-avid lesion. (B) PFS of the independent validation cohort of 64 patients, according to RadSig status (most FDG-avid lesion). (C) PFS of the whole cohort of 112 patients (discovery and validation), according to the RadSig status (most FDG-avid lesion). (D) Forest plot depicting multivariable analyses performed in the whole cohort of 112 patients. (E) Bar plot depicting the RadSig performance using a different target lesion (largest FDG-avid lesion) in the considered patients’ subsets (discovery cohort of 48 patients, validation cohort of 64 patients, and combined cohort of 112 patients). (F) PFS according to RadSig status (largest FDG-avid lesion) in the whole cohort of 112 patients.

RadSig validation. (A) Kaplan-Meier curve of PFS according to the RadSig status, as calculated by using a different target lesion, that is, the most FDG-avid lesion. (B) PFS of the independent validation cohort of 64 patients, according to RadSig status (most FDG-avid lesion). (C) PFS of the whole cohort of 112 patients (discovery and validation), according to the RadSig status (most FDG-avid lesion). (D) Forest plot depicting multivariable analyses performed in the whole cohort of 112 patients. (E) Bar plot depicting the RadSig performance using a different target lesion (largest FDG-avid lesion) in the considered patients’ subsets (discovery cohort of 48 patients, validation cohort of 64 patients, and combined cohort of 112 patients). (F) PFS according to RadSig status (largest FDG-avid lesion) in the whole cohort of 112 patients.

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