Outcome Prediction Using Visual Analysis and SUV-Based Assessment at 4 Cycles of Induction Chemotherapy
| Event-free survival (population n = 80, events n = 25) | Overall survival (population n = 80, deaths n = 17) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Type of assessment | Se (%) | Sp (%) | PPV (%) | NPV (%) | Acc (%) | Se (%0) | Sp (%) | PPV (%) | NPV (%) | Acc (%) |
| Visual | ||||||||||
| Custom criteria | 56.0 | 92.7 | 77.8 | 82.3 | 81.3 | 58.8 | 87.3 | 55.6 | 88.7 | 81.3 |
| Juweid criteria | 60.0 | 83.6 | 62.5 | 82.1 | 76.3 | 64.7 | 79.4 | 45.8 | 89.3 | 76.3 |
| SUV-based | ||||||||||
| SUVmax on PET4 | 56.0 | 87.3 | 66.7 | 81.4 | 77.5 | 64.7 | 84.1 | 55.0 | 90.0 | 81.3 |
| SUVmax reduction PET0–4 | 48.0 | 90.9 | 70.6 | 79.4 | 77.5 | 52.9 | 87.3 | 52.9 | 87.3 | 80.0 |
Se = sensitivity; Sp = specificity; PPV = positive predictive value; NPV = negative predictive value; Acc = accuracy.