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Table 2 Variables with statistical significance at univariate analysis and logistic regression

From: CT texture analysis of lung adenocarcinoma: can Radiomic features be surrogate biomarkers for EGFR mutation statuses

 

variable

p value

logistic regression

Odds Ratio (95% confidence interval)

p value

Exon 19 mutation

Age

0.004

0.968(0.946~0.990)

0.005

 

Entropy

0.016

  
 

InterquartileRange

0.004

  
 

Kurtosis

0.011

  
 

MeanAbsoluteDeviation

0.015

  
 

RobustMeanAbsoluteDeviation

0.005

  
 

StandardDeviation

0.021

  
 

Uniformity

0.023

  
 

Variance

0.021

  
 

ClusterTendency

0.017

  
 

Correlation

0.014

  
 

DifferenceEntropy

0.047

  
 

Entropy

0.025

  
 

Imc1

0.03

  
 

Imc2

0.006

  
 

SumEntropy

0.014

  
 

SumSquares

0.018

  
 

SumVariance

0.017

  
 

GrayLevelNonUniformityNormalized

0.008

0.012(0.000~0.352)

0.01

 

GrayLevelVariance

0.031

  
 

RunEntropy

0.026

  
 

ShortRunEmphasis

0.06

  

Exon 21 mutation

age

0.04

1.027(1.003~1.052)

0.025

 

Smoking status

0.005

  
 

Gender

0.004

2.189(1.264~3.791)

0.005

 

Maximum

0.015

  
 

Range

0.02

  
 

Autocorrelation

0.048

  
 

ClusterProminence

0.06

  
 

HighGrayLevelRunEmphasis

0.04

  
 

ShortRunHighGrayLevelEmphasis

0.036

  
 

GrayLevelNonUniformityNormalized

0.034

  
 

GrayLevelVariance

0.039

  
 

SizeZoneNonUniformity

0.013

  
 

SizeZoneNonUniformityNormalized

0.012

  
 

SmallAreaEmphasis

0.014

  
 

LeastAxis

0.009

  
 

MajorAxis

0.043

  
 

Maximum2DDiameterColumn

0.012

0.968(0.946~0.990)

0.005

 

Maximum2DDiameterRow

0.066

  
 

Maximum2DDiameterSlice

0.019

  
 

Maximum3DDiameter

0.025

  
 

MinorAxis

0.021

  
 

SurfaceArea

0.02

  
 

SurfaceVolumeRatio

0.011

  
 

Volume

0.017

  

EGFR mutation

Gender

0.00016

1.883(1.064~3.329)

0.030

 

Smoking status

0.00015

2.070(1.090~3.929)

0.026

 

SizeZoneNonUniformityNormalized

0.026

0.010(0.0001~0.852)

0.042

 

SmallAreaEmphasis

0.037