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. 2023 Mar 9;33(5):3343–3353. doi: 10.1007/s00330-023-09516-0

Table 5.

Uni- and multivariable logistic regression model for the prediction of T- and N-true positive lesions

Univariable Multivariable
OR 95% CI p OR 95% CI p
T-lesions semiquantitative parameters
SUVmax at standard imaging 1.20 1.14–1.26  < 0.001 1.27 1.13–1.43  < 0.001
PSMA score at standard imaging 3.36 2.53–4.47  < 0.001 1.56 0.81–3.01 0.19
PSMA RADS at standard imaging 1.61 1.43–1.82  < 0.001 1.01 0.81–1.24 0.95
deltaSUVmax 1.04 1.01–1.06 0.025 1.16 1.10–1.22  < 0.001
N-lesions semiquantitative parameters
SUVmax at standard imaging 1.33 1.23–1.44  < 0.001 1.30 1.12–1.51  < 0.001
PSMA score at standard imaging 3.23 2.50–4.18  < 0.001 0.55 0.24–1.27 0.16
PSMA RADS at standard imaging 1.93 1.70–2.19  < 0.001 1.96 1.51–2.57  < 0.001
deltaSUVmax 1.07 1.03–1.11 0.001 1.37 1.24–1.53  < 0.001