Table 3.
Prognostic Accuracy of the mRECIST and RECIST 1.1 to Predict Mortality after Transarterial Radioembolization
| Time point | Likelihood ratio (χ2) | Linear trend (χ2) | AIC | |||||
|---|---|---|---|---|---|---|---|---|
| RECIST 1.1 | mRECIST | RECIST 1.1 | mRECIST | RECIST 1.1 | mRECIST | |||
| At 1 months | 0.943 (0.332) | 6.574 (0.010) | 0.530 (0.466) | 5.530 (0.019) | 109.916 | 104.707 | ||
| At 3 months | 1.529 (0.216) | 4.527 (0.033) | 1.265 (0.261) | 4.351 (0.037) | 96.117 | 92.901 | ||
| At 6 months | 0.073 (0.787) | 1.797 (0.180) | 0.071 (0.790) | 1.802 (0.179) | 68.051 | 66.270 | ||
| At best response | 1.119 (0.290) | 8.679 (0.003) | 1.024 (0.312) | 8.544 (0.003) | 109.705 | 101.728 | ||
The model with a higher chi-square value by the likelihood ratio test and the linear trend test was considered the better model for homogeneity and discriminatory ability. Furthermore, lower values for Akaike information criteria (AIC) were considered better for discriminatory ability. Likelihood ratio and linear trend were shown as chi-square (p-value).
RECIST, Response Evaluation Criteria in Solid Tumors; mRECIST, modified RECIST.