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case_images: Kaplan-Meier curves estimating RFS. (A) Age; (B) ETE; (C) Gender.
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case_images: As shown in Fig. 1A, the RFS time was significantly shorter in patients with age >= 55-years-old than in younger individuals (mean time 73.2 vs. 77.0 months, p = 0.000). Kaplan-Meier curves revealed a significantly shorter RFS time for patients with ETE (mean time 72.4 vs. 76.5 months, p = 0.004, Fig. 1B). The RFS time was also significantly shorter in male gender patients than female patients (mean time 74.4 vs. 76.1 months, p = 0.002, Fig. 1C).
case_images: The nomogram for predicting 3- and 5-year RFS in LAPTC patients.
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case_images: The prognostic factors (age, gender, and ETE) were included to build a nomogram model for predicting 3- and 5-year RFS in LAPTC patients (Fig. 2).
case_images: Calibration plots for RFS. (A) 3-year RFS; (B) 5-year RFS.
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case_images: The calibration curves for RFS at 3- and 5-year showed good agreement between the predicted and actual values of the nomogram (Fig. 3A-B).
case_images: DCA of the nomogram for RFS. (A) 3-year RFS; (B) 5-year RFS.
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case_images: The DCA results suggested that this nomogram had excellent clinical applicability (Fig. 4A-B).
case_images: The receiver operating characteristic curve for RFS prediction model. (A) 3-year RFS; (B) 5-year RFS.
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case_images: As shown in Fig. 5A-B, the ROC curves of the nomogram showed good discriminatory ability, with AUC values of 0.767 (95% CI 0.626-0.909) and 0.798 (95% CI 0.669-0.926) for 3- and 5-year RFS, respectively.