Table 3.

Logistic regression results of the model

FeaturesEstimateSEZ valueP 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 
FeaturesEstimateSEZ valueP 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.

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