Table 3.
Performance of different models on predicting overall survival and risk of distant metastases
| Model | C-Index (SD) for predicting Overall Survival | C-Index (SD) for predicting Distant Metastases | Number of Trainable Parameters | Floating Point Operations (FLOPs) |
|---|---|---|---|---|
| Sarculator7 variables (RSF) | 0.654 (0.109) | 0.618 (0.106) | 4 | – |
| Sarculator7 variables (CoxPH) | 0.614 (0.117) | 0.631 (0.097) | – | – |
| Larger clinical model (RSF) | 0.655 (0.111) | 0.639 (0.108) | 11 | – |
| Radiomics model (RSF) | 0.532 (0.116) | 0.541 (0.099) | 200 | – |
| Radiomics + Clinical (RSF) | 0.582 (0.112) | 0.558 (0.108) | 211 | – |
| Radiomics + Clinical (CoxPH with ElasticNet penalty) | 0.707 (0.095) | 0.658 (0.085) | 21 (Overall survival) 30 (Distant Metastases) | |
| Unimodal DenseNet | 0.553 (0.081) | 0.562 (0.068) | 4194,304 (2 x 128 x 128 × 128) | 97,538,861,056 |
| Multimodal Neural Network | 0.769 (0.126) | 0.699 (0.092) | 4194,315 (2 x 128 x 128 × 128) + 11 | 97,538,863,848 |