Table 3.
Performance of predictive models for late grade ≥2 genitourinary toxicity after conventionally-fractionated radiotherapy or stereotactic body radiotherapy.
| Sensitivity | Specificity | PPV | NPV | F1 Score | AUC | |
|---|---|---|---|---|---|---|
| Prediction of Toxicity after CF-RT | ||||||
| Random Forest | 0.77 | 0.80 | 0.42 | 0.95 | 0.54 | 0.78 |
| Elastic Net | 0.59 | 0.96 | 0.71 | 0.93 | 0.65 | 0.76 |
| Boosted Trees | 0.65 | 0.97 | 0.79 | 0.94 | 0.71 | 0.81 |
| Prediction of Toxicity after SBRT | ||||||
| Random Forest | 0.86 | 0.76 | 0.39 | 0.97 | 0.53 | 0.81 |
| Elastic Net | 0.79 | 0.92 | 0.65 | 0.96 | 0.71 | 0.87 |
| Boosted Trees | 0.71 | 0.90 | 0.56 | 0.95 | 0.63 | 0.81 |
AUC, area under the curve; -RT, conventionally fractionated RT; NPV, negative predictive value; PPV, positive predictive value; SBRT, stereotactic body radiotherapy.