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. 2023 Apr 5;22:15330338231166766. doi: 10.1177/15330338231166766

Table 5.

Logistic Regression Analysis Results of Combined Model Based on CEUS-MRI-Clinical Features for Predicting the BCR.

Combined model Univariate analysis Multivariate analysis
Factors P Hazard ratio P Hazard ratio
Tumor diameter <.05a 1.26 (1.09-1.46)
Clinical TNM stage .01a 1.85 (1.12-3.07)
Lymph node metastasis .01a 1.26 (1.04-1.53)
Distant metastasis .01a 2.09 (1.17-3.71)
GleasonSum <.05a 1.30 (1.13-1.50) .04a 1.24 (1.01-1.54)
Preoperative PSA .02a 1.05 (1.01-1.10) .04a 1.07 (1.00-1.14)
PI .03a 1.05 (1.00-1.10)
AT <.05a 1.07 (1.02-1.13) .03a 1.09 (1.01-1.19)
elastography grade .04a 1.19 (1.01-1.41)
Radscore1 <.05a 3.43 (1.91-6.16) <.05a 5.28 (1.85-9.89)
Radscore2 <.05a 2.63 (1.93-3.58) <.05a 2.60 (1.81-3.73)

Abbreviations: CEUS, contrast-enhanced ultrasound; BCR, biochemical recurrence; PI, peak intensity; AT, arrival time; MRI, magnetic resonance imaging; TNM, tumor node metastasis classification.

a

P < .05.