Establishment of a prediction model for severe acute radiation enteritis associated with cervical cancer radiotherapy

Figure 1 Disease activity index score during volumetric modulated arc therapy in 50 patients with cervical cancer.

Figure 2 Development and validation of the nomogram. A: Kendall’s rank correlation analyses among factors with P < 0.05 in univariate logistic regression; B: Nomogram predicting the occurrence of severe acute radiation enteritis (SARE). For each individual patient, two lines are drawn upward to determine the points received from the two variables in the nomogram; the sum of these points is located on the “Total Points” line, and a line is drawn downward to determine the likelihood of this patient to have SARE; C: Receiver operating characteristic curves of anal bulge rating. Disease activity index score vs the predictive model; D: Calibration curves of the nomogram predicting the occurrence of SARE. The x-axis and y-axis indicate the predicted and actual probabilities of having SARE, respectively; E: Decision curves of the nomogram predicting the occurrence of SARE. The x-axis shows the threshold probabilities. The y-axis measures the net benefit, which was calculated by adding the true positives and subtracting the false positives. NOMO: Nodal modulator; AUC: Area under the receiver operating characteristic curve; DAI: Disease activity index.