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Table 3 Univariate and multivariate logistic regression analysis of ultrasound radiomic and morphological features

From: Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis

Characteristics

Univariate logistic regression analysis

Multivariate logistic regression analyses

OR

95% CI

P

OR

95% CI

P

Gender

      

 Male #

1

  

/

  

 Female

0.348

0.141–0.859

0.022*

/

/

/

Age

0.996

0.972–1.021

0.739

/

/

/

Microcalcification

      

 No #

1

  

/

  

 Yes

2.661

1.453–4.871

0.002*

/

/

/

Color doppler flow imaging

      

 Avascularity #

1

  

/

  

 Mainly peripheral vascularity

5.384

2.530–11.454

< 0.001*

/

/

/

 Mainly central vascularity

6.933

3.271–14.692

< 0.001*

/

/

/

 Mixed vascularity

4.490

1.557–12.947

0.005*

/

/

/

Location

      

 Up #

1

  

/

  

 Middle

1.471

0.711–3.043

0.298

/

/

/

 Down

1.465

0.719–2.988

0.293

/

/

/

Morphology

      

 Regular #

1

  

1

  

 Irregular

6.769

3.608–12.699

< 0.001*

10.466

3.016–36.323

< 0.001*

Boundary

      

 Circumscribed #

1

  

1

  

 Ill-defined

2.155

1.072–4.335

0.031*

1.783

0.557–5.710

0.330

 Irregular margin

6.158

2.865–13.233

< 0.001*

9.767

2.262–42.173

0.002*

Length diameter

4.675

2.414–9.052

< 0.001*

0.392

0.161–0.955

0.039*

Rad-score

2.718

2.065–3.579

< 0.001*

3.577

2.372–5.395

< 0.001*

  1. OR, Odds ratio; 95% CI, 95% confidence interval; Rad-score, Radiomic score
  2. # Characteristics were set as the reference. * P < 0.05