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. 2023 Feb 16;13(4):2568–2581. doi: 10.21037/qims-22-688

Table 4. Logistic regression analyses for parameters in identifying high-proliferation and low-proliferation endometrial carcinoma.

Parameters Univariate analyses Multivariate analyses
OR for 1 SD (95% CI) P value OR for 1 SD (95% CI) P value
Age 0.916 (0.854–0.982) 0.014 1.018 (0.923–1.123) 0.724
Tumor size 0.999 (0.961–1.038) 0.948
FIGO stage 0.585 (0.349–0.981) 0.042 1.214 (0.543–2.714) 0.637
D 4.291 (1.722–10.692) 0.002 16.752 (1.819–154.263) 0.013
D* 1.006 (0.997–1.014) 0.178
f 0.787 (0.512–1.209) 0.274
α 0.417 (0.231–0.754) 0.004 0.929 (0.372–2.321) 0.874
DDC 1.629 (0.935–2.836) 0.085
Ktrans 18.986 (3.493–103.199) 0.001 13.500 (0.592–307.846) 0.103
Ve 0.202 (0.024–1.709) 0.142
Kep 16.144 (3.206–81.282) 0.001 14.645 (1.278–167.843) 0.031

All factors with P<0.05 in univariate analyses were included in multivariate regression analyses. FIGO, International Federation of Gynecology and Obstetrics; D, diffusion coefficient; D*, pseudo diffusion coefficient; f, perfusion fraction; α, water molecular diffusion heterogeneity index; DDC, distributed diffusion coefficient; Ktrans, volume transfer constant; Ve, volume of extravascular extracellular space per unit volume of tissue; Kep, rate transfer constant; OR, odds ratio; SD, standard deviation; CI, confidence interval.