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Table 4 Univariable and multivariable logistic regression analysis of possible predictors for distinguishing patients (n = 75) between T2 and T3 in final pathology

From: Prediction of T staging in PI-RADS 4–5 prostate cancer by combination of multiparametric MRI and 68Ga-PSMA-11 PET/CT

Parameters

Univariable logistic regression

Multivariable logistic regression

OR

95% CI

p

OR

95% CI

p

Age (years), median (range)

1.000

0.928 – 1.079

0.990

   

Initial PSA (ng/dL), median (range)

1.029

1.001 – 1.058

0.042

1.027

0.992 – 1.064

0.136

Percentage of positive core at TB (%), median (range)

1.029

1.001 – 1.057

0.041

0.637

0.972 – 1.048

0.637

ISUP Gleason score at TB, n (%)

  

0.044

  

0.234

 1 vs. 2

1.200

0.257 – 5.593

0.816

0.759

0.105 – 5.473

0.784

 1 vs. 3

3.200

0.540 – 18.980

0.200

2.168

0.250 – 18.833

0.483

 1 vs. 4

5.600

1.328 – 23.620

0.019

2.755

0.425 – 17.868

0.288

 1 vs. 5

8.000

1.215 – 52.693

0.031

9.842

0.789 – 122.734

0.076

mpMRI + PET/CT

 Negative vs. Positive

8.800

2.810 – 27.557

 < 0.001

11.377

3.088 – 41.916

 < 0.001

  1. PSA prostate-specific antigen, ISUP International Society of Urological Pathology, TB targeted biopsy, mpMRI + PET/CT combination of 68 Ga-PSMA-11 PET/CT and mpMRI, OR odds ratio, CI confidence intervals
  2. Significant P values were presented in bold text