Figure 1 | Scientific Reports

Figure 1

From: Machine learning-based prediction model using clinico-pathologic factors for papillary thyroid carcinoma recurrence

Figure 1

(A) The cut-off value for the lymph node ratio (LNR) was determined in consideration of the sensitivity and specificity optimized to predict disease recurrence using a receiver operating characteristic curve (ROC). Recurrence-free survival of the patient group with LNR > 0.24 was significantly decreased. (B) The cut-off value for the number of metastatic LNs was determined in consideration of the sensitivity and specificity optimized to predict disease recurrence using a ROC. The recurrence-free survival of the patient group with two or more metastatic LNs was significantly decreased. (The graph was made by statistical software SPSS version 25.0 for windows).

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