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Table 6 Results of multivariate logistic regression models for differentiating stage IA EC from BELs

From: Whole-lesion apparent diffusion coefficient (ADC) histogram as a quantitative biomarker to preoperatively differentiate stage IA endometrial carcinoma from benign endometrial lesions

Models

Coefficients

Odds ratio

95% CI

p value

Clinical model

    

 Age at diagnosis, years

    

  ≤ 50

 

Reference

  

  51–64

1.412

4.106

2.269–7.429

< 0.001

  ≥ 65

0.574

1.776

0.563–5.604

0.328

 Nulliparity

    

  No

 

Reference

  

  Yes

1.433

4.191

1.066–16.472

0.040

 Long-term Tamoxifen therapy

    

  No

 

Reference

  

  Yes

− 1.963

0.14

0.038–0.524

0.003

ADC histogram model

    

 ADC10th

− 3.270

0.038

0.016–0.092

< 0.001

 rMAD

− 0.710

0.492

0.271–0.893

0.020

 Total energy

1.025

2.788

1.416–5.490

0.003

 Skewness

0.605

1.832

1.155–2.907

0.010

Combined model

    

 ADC-score*

0.971

2.641

2.045–3.411

< 0.001

 Age at diagnosis, years

    

  ≤ 50

 

Reference

  

  51–64

0.711

2.036

0.821–5.046

0.125

  ≥ 65

1.623

5.068

0.905–28.383

0.065

 Nulliparity

    

  No

 

Reference

  

  Yes

0.446

1.562

0.252–9.670

0.631

 Long-term Tamoxifen therapy

    

  No

 

Reference

  

  Yes

− 0.846

0.429

0.061–2.996

0.393

  1. rMAD, robust mean absolute deviation
  2. *ADC-score = 0.257 + − 3.270 × ADC10th + − 0.710 × rMAD + 1.025 × Total_Energy + 0.605 × Sknewness. All ADC histogram features were standardized by Z-score normalization