Fig. 6

The nomogram of the combined model, which generated corresponding evaluation scores according to the respective contributions of the radiomics marker value, mrT staging, and ADC value to Ki-67 expression in the regression model. The score for each factor was summed to obtain the total score for the probability of predicting Ki-67 expression (a). Calibration curves of the nomogram. Calibration curves with slope near 1 indicate good fit and accurate nomograms (b). DCA of the nomogram, radiomics model and clinical model. Nomogram had superior capabilities for determining Ki-67 expression in rectal cancer. The y- and x-axes indicate net benefits and threshold probability, respectively (c)