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Table 4 Pearson and Spearman correlation analysis of defect and maxilla on the cleft side

From: Machine learning in 3D auto-filling alveolar cleft of CT images to assess the influence of alveolar bone grafting on the development of maxilla

 

Vdef

Ldef

Wdef

Hdef

Vbone

Pgraft

Vdef

0.635**

0.460**

0.422*

Vbone

0.356*

0.408*

0.098

0.252

Pgraft

− 0.06

− 0.132

− 0.034

Vmax

0.027

0.061

0.076

0.482**

Lmax

− 0.063

− 0.119

0.111

0.157

AntWmax

0.087

0.012

0.399*

0.145

PosWmax

0.158

0.037

− 0.029

0.348

AntHmax

0.438*

0.462**

0.311

0.402*

PosHmax

0.620**

0.404*

0.461**

0.635**

Lalv

0.065

− 0.070

0.180

0.316

AntWalv

0.249

− 0.051

0.386*

0.331

PosWalv

0.097

0.081

− 0.158

− 0.063

AntHalv

0.221

− 0.155

0.014

0.380*

PosHalv

0.285

0.103

0.201

0.484**

ΔLmax

0.257

0.223

0.277

0.092

0.179

0.06

ΔAntWmax

− 0.211

0.118

0.071

− 0.076

− 0.022

− 0.174

ΔPosWmax

− 0.169

− 0.145

0.335

− 0.072

− 0.093

− 0.031

ΔAntHmax

0.163

0.021

0.371*

0.011

0.028

0.13

ΔPosHmax

− 0.192

− 0.127

− 0.038

− 0.258

− 0.233

− 0.101

ΔLalv

− 0.257

− 0.110

− 0.170

− 0.058

0.035

0.191

ΔAntWalv

0.072

− 0.118

0.025

0.002

− 0.107

− 0.165

ΔPosWalv

0.143

− 0.109

0.272

0.037

− 0.138

− 0.196

ΔAntHalv

0.059

0.108

0.121

0.131

− 0.050

− 0.212

ΔPosHalv

− 0.293

− 0.294

− 0.279

− 0.014

0.143

0.284

  1. Δmeans the change of the parameter after the operation
  2. *Significant at P-value < 0.05; **Significant at P-value < 0.01