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. 2024 Jul 19;13(14):e70001. doi: 10.1002/cam4.70001

TABLE 3.

Univariate and multivariate logistic regression analyses exploring independent predictors of positive pathological response to neoadjuvant chemohormonal therapy.

Variables Positive pathological responses
Univariate Multivariate
OR (95% CI) p‐value β OR (95% CI) p‐value
Age (years) 1.000 (0.944–1.059) 0.990
BMI (kg/m2) 1.108 (0.997–1.232) 0.056
Initial PSA at diagnosis (ng/mL) 0.947 (0.909–0.986) 0.008 −0.096 0.909 (0.847–0.975) 0.008
ISUP grading group of biopsy specimens
4 versus 3 1.048 (0.436–2.518) 0.917
5 versus 3 0.602 (0.206–1.757) 0.353
EAU clinical T stage
3a versus 2c 0.552 (0.139–2.197) 0.399
3b versus 2c 0.613 (0.157–0.239) 0.482
4 versus 2c 1.000 (0.156–6.420) 1.000
PI‐RADS v2 score
4 versus 3 0.585 (0.158–2.161) 0.421
5 versus 3 1.000 (0.265–3.769) 1.000
PPF radiomics signature 2.718 (1.866–3.960) <0.001 0.916 2.499 (1.545–4.042) <0.001
Intratumoral radiomics signature 2.718 (1.782–4.145) <0.001 0.708 2.030 (1.284–3.209) 0.002

Abbreviations: BMI, body mass index; CI, confidence interval; ISUP, International Society of Urological Pathology; OR, odds ratio; PI‐RADS v2, Prostate Imaging Reporting and Data System version 2; PPF, periprostatic fat; PSA, prostate‐specific antigen.