Fig.4

ROC analysis, nomogram, calibration and decision curves for differentiating POMT and MOMC. A The nomogram established by combining the locular size diversity ratio and signal intensity diversity ratio. Predictor points are shown on uppermost point scale corresponding to each variable. On the bottom scale, points for all variables were added and translated into POMT positivity probability. B The calibration curve depicts the model calibration in terms of the agreement between the predicted probabilities and observed outcomes of POMT. The dotted black line represents an ideal prediction, whereas the solid black line shows the nomogram’s predictive ability. C The combination attained the highest receiver characteristic operating curve value. D The gray line represents the net benefit of assuming that all patients had MOMC, the black line shows the net benefit of assuming that none of the patients had POMT, and the yellow line resembles the expected net benefit per patient based on the predictive nomogram. POMT, primary ovarian mucinous malignant tumor; MOMC, metastatic ovarian mucinous carcinoma