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TableĀ 4 Univariable logistic regression and ROC curve analysis of semi-quantitative and quantitative parameters in diagnosing csPCa

From: Values of multiparametric and biparametric MRI in diagnosing clinically significant prostate cancer: a multivariate analysis

Ā 

OR

95% CI for OR

P value

AUC

95% CI for AUC

Lower

Upper

Lower

Upper

PIS

2.163

1.610

2.906

.000

.895

.868

.922

T2WI

1.745

1.315

2.314

.000

.883

.854

.912

PSAD

1.535

1.153

2.042

.003

.802

.764

.841

ADC

.111

.016

.784

.028

.154

.120

.188

Kep

.987

.698

1.395

.940

.616

.569

.663

Ktrans

.794

.449

1.403

.428

.585

.537

.633

ADCrec

.812

.326

2.023

.654

.846

.812

.880

  1. PIS The 5-point results of PI-RADS v2.1 assessed by senior physicians, T2WI The 5-point results of T2WI, PSAD Prostate specific antigen density, ADCrec Reciprocal of apparent diffusion coefficient, OR Odds ratio (ORā€‰>ā€‰1 indicated that the parameter was a risk factor; otherwise, it was a protective factor), CI Confidence interval, AUC Area under the curve