Logistic regression results of the model
Features . | Estimate . | SE . | Z value . | P value . |
---|---|---|---|---|
Intercept | -2.5 | 2.0 | -1.2 | 0.219 |
R/R (relapsed) | -2.5 | 0.7 | -3.8 | 0.000 |
B symptoms | 1.0 | 0.7 | 1.5 | 0.136 |
MTV | -0.4 | 0.2 | -1.6 | 0.118 |
Spread | 0.4 | 0.2 | 2.7 | 0.007 |
TLRSUVmean | 2.4 | 1.0 | 2.4 | 0.018 |
Features . | Estimate . | SE . | Z value . | P value . |
---|---|---|---|---|
Intercept | -2.5 | 2.0 | -1.2 | 0.219 |
R/R (relapsed) | -2.5 | 0.7 | -3.8 | 0.000 |
B symptoms | 1.0 | 0.7 | 1.5 | 0.136 |
MTV | -0.4 | 0.2 | -1.6 | 0.118 |
Spread | 0.4 | 0.2 | 2.7 | 0.007 |
TLRSUVmean | 2.4 | 1.0 | 2.4 | 0.018 |
Logistic regression results of features in the baseline model. Formula of the model: -2.472 – [2.478 ∗ (Relapsed=1, refractory=0)] + [1.010 ∗ (B symptoms = 1, no B symptoms =0)] – [0.384 ∗ log(MTV in uL)] + [0.413 ∗ log(Spread)] + [2.409 ∗ log(SUVmean / liverSUVmean)].
MTV, metabolic tumor volume; R/R, relapsed/refractory; SE, standard error; spread, sum of all distances between all lesions; TLRSUVmean, tumor-to-liver ratio of lesion standard uptake value (SUV) mean and the liver.