Table 11 Multiple linear regression analysis of EEF based on imaging features and radiomics features.

From: Multi-sequence magnetic resonance imaging radiomics combined with imaging features predicts the difficulty of HIFU treatment of uterine fibroids

Model

Unstandardized coefficient

Standardized coefficient

P

Covariance diagnosis

B

standard error

Beta

tolerances

VIF

6

(Constant)

3.144

0.680

 

0.000

  

T2-specklenoise_glcm_Imc1

− 38.269

6.026

− 0.382

0.000

0.580

1.725

Submucosal fibroid

6.560

1.218

0.249

0.000

0.981

1.020

A1-mean_ngtdm_Strength

4.378

0.924

0.246

0.000

0.777

1.287

Significant enhancement of T1WI

2.460

0.572

0.199

0.000

0.981

1.020

T2-wavelet_glrlm_wavelet-LHL-GrayLevelNonUniformity

− 0.000286

0.000

− 0.139

0.025

0.553

1.809

 

DWI-normalize_glszm_GrayLevelNonUniformity

− 0.057

0.027

− 0.129

0.034

0.580

1.723