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. 2020 Nov 3;12:11191–11201. doi: 10.2147/CMAR.S273728

Figure 3.

Figure 3

A nomogram to predict the probability of breast duct tumors in patients with ND. (A) Age - age at diagnosis in years; Side_of_discharge – unilateral nipple or bilateral nipple discharge; Spontaneous_or_not – spontaneous or non-spontaneous discharge; Duration_of_discharge – duration from the time the discharge occurred to the time of the visit; Color_of_discharge – red discharge or non-red discharge. There are 8 rows in the nomogram. The variables are presented in rows 2 to 6, and points for each variable are correspond the scale in row 1. The row 8 is the total points, and the last row represents the possibility of a patient with ND suffering from a tumor in the duct. (B) ROC curve of the predictive model for the training cohort (n = 433) (ROC curve with an AUC value of 0.735 (95% CI: 0.687–0.784)). ROC, receiver-operating characteristic ROC; AUC, area under the ROC curve. (C) ROC curve of the predictive model for the validation cohort (n = 183) (ROC curve with an AUC value of 0.716 (95% CI: 0.641–0.791)). ROC, receiver-operating characteristic; AUC, area under the ROC curve. (D) Calibration curves of the predictive nomogram prediction in the training cohort. The x-axis represents the predicted risk of tumors in the ducts. The y-axis represents the actually diagnosed intraductal tumor. The diagonal gray thick line represents the ideal prediction of the ideal model. The solid line indicates the performance of the nomogram, and the dotted line closer to the diagonal indicates better prediction. (E) Calibration curves of the predictive nomogram prediction in the validation cohort. The x-axis represents the predicted risk of tumors in the ducts. The y-axis represents the actually diagnosed intraductal tumor. The diagonal gray thick line represents the ideal prediction of the ideal model. The solid line indicates the performance of the nomogram, and the dotted line closer to the diagonal indicates better prediction.