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. 2022 Mar 17;14(6):1547. doi: 10.3390/cancers14061547

Table 2.

Logistic regression analysis of predictive factors for pseudoprogression/transient enlargement (n = 69).

Parameter Univariate Multivariate
OR p-Value OR p-Value
SRS/hypofractionation vs. conventional fractionation 18.67 0.016 22.53 0.041
Baseline tumor volume, ≥4.7 vs. <4.7 cm3 0.29 0.289 1.40 0.831
WHO grade (atypical vs. benign) 3.28 0.335 Not included because of p ≥ 0.300
Patient age, ≥63 vs. <63 years 0.91 0.929 Not included because of p ≥ 0.300
Recurrence vs. primary diagnosis 1.64 0.682 Not included because of p ≥ 0.300
Patient sex (male vs. female) 1.02 0.986 Not included because of p ≥ 0.300
Preceding surgery 0.00 0.999 Not included because of p ≥ 0.300

Univariate and multivariate logistic regression analysis of predictive factors for pseudoprogression/transient enlargement. Parameters with univariate p < 0.300 were included in the multivariate model. OR: Odds ratio.