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Table 2 Univariate and multivariate analyses for clinical risk factors of cervical lymph node metastasis

From: Ultrasound-based radiomics machine learning models for diagnosing cervical lymph node metastasis in patients with non-small cell lung cancer: a multicentre study

Parameters

Univariate

P

Multivariate

P

OR (95%Cl)

OR (95%Cl)

Age (y)

1.001 (0.968–1.036)

0.932

-

-

Sex (male/female)

0.482 (0.204–1.140)

0.097

0.500 (0.195–1.283)

0.149

LD of cervical LNs (mm)

1.211 (1.124–1.306)

 < 0.001*

1.210 (1.081–1.354)

0.001*

SD of cervical LNs (mm)

1.355 (1.203–1.525)

 < 0.001*

1.046 (0.907–1.207)

0.535

Shape (irregular/regular)

3.784 (1.821–7.861)

 < 0.001*

2.709 (1.176–6.238)

0.019*

Corticomedullary

Boundary (unclear/clear)

16.606 (2.928–94.174)

0.002*

9.478 (1.371–65.529)

0.023*

Boundary (unclear/clear)

1.607 (0.728–3.545)

0.240

-

-

Calcification (positive/negative)

0.718 (0.329–1.569)

0.407

-

-

Liquidation (positive/negative)

2.055 (0.470–8.990)

0.339

-

-

Lymph node site (left/right)

0.729 (0.365–1.457)

0.372

-

-

  1. OR odds ratio, CI confidence interval, LD long diameter, LNs lymph nodes, SD short diameter
  2. *P < 0.05