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Table 2 Optimal respiratory gating impacts the correlation of [18F]FDG PET-derived image features with overall survival, assessed by univariate logistic regression analysis

From: Optimal respiratory-gated [18F]FDG PET/CT significantly impacts the quantification of metabolic parameters and their correlation with overall survival in patients with pancreatic ductal adenocarcinoma

Image feature

Non-ORG

ORG

 

HR

95%CI

p value

HR

95%CI

p value

MTV

1.056

(0.636–1.751)

0.834

1.218

(0.638–2.322)

0.550

SUVmin

1.206

(0.964–1.510)

0.102

0.976

(0.756–1.258)

0.850

SUVmax

1.324

(1.031–1.700)

0.026

1.121

(0.860–1.461)

0.397

SUVmean

1.328

(1.072–1.645)

0.008

1.137

(0.891–1.451)

0.303

SUVdiff

1.360

(1.011–1.830)

0.041

1.155

(0.884–1.510)

0.288

Variance

1.242

(0.965 –1.598)

0.080

1.045

(0.792–1.378)

0.756

Skewness

1.088

(0.843–1.404)

0.516

0.770

(0.577–1.027)

0.076

Kurtosis

0.871

(0.668–1.135)

0.306

0.894

(0.663–1.206)

0.462

Entropy.image

1.232

(0.910–1.669)

0.177

1.198

(0.910–1.577)

0.196

STD

1.271

(0.968–1.669)

0.083

1.064

(0.812–1.395)

0.653

Energy

0.999

(0.769–1.298)

0.992

0.812

(0.594–1.110)

0.181

Contrast

1.051

(0.813–1.359)

0.704

0.809

(0.612–1.069)

0.135

Dissimilarity

1.056

(0.812–1.374)

0.684

0.845

(0.650–1.099)

0.208

Homogeneity.1

0.917

(0.680–1.237)

0.571

1.018

(0.793–1.309)

0.887

Homogeneity.2

0.899

(0.652–1.241)

0.517

0.982

(0.766–1.258)

0.884

Correlation

0.923

(0.724–1.178)

0.521

1.181

(0.899–1.552)

0.231

Difference Entropy.1

1.131

(0.828–1.543)

0.439

1.362

(0.989–1.876)

0.055

Joint Entropy.2

1.093

(0.824–1.450)

0.535

1.290

(0.980–1.698)

0.068

Sum Entropy.3

1.086

(0.819–1.439)

0.568

1.340

(1001–1.795)

0.048

Short.Run.Emphasis

1.097

(0.799–1.506)

0.565

1.040

(0.804–1.346)

0.764

Long.Run.Emphasis

0.914

(0.654–1.278)

0.599

0.923

(0.702–1.214)

0.567

Gray.Level.Non-Uniformity

0.983

(0.590–1.639)

0.948

0.967

(0.503–1.860)

0.919

Gray.Level.Non-Uniformity.Normalized

0.976

(0.746–1.278)

0.861

0.766

(0.552–1.062)

0.101

Run.Length.Non-Uniformity

1.059

(0.650–1.727)

0.817

1.244

(0.670–2.310)

0.489

Run.Length.Non-Uniformity.Normalized

1.094

(0.800–1.496)

0.575

1.033

(0.800–1.334)

0.804

Run.Percentage

1.091

(0.789–1.508)

0.598

1.057

(0.812–1.374)

0.681

GrayLevelVariance

0.971

(0.744–1.268)

0.832

0.873

(0.665–1.145)

0.325

SmallAreaHighGrayLevelEmphasis

1.034

(0.781–1.367)

0.818

1.224

(0.924–1.622)

0.158

GrayLevelNonUniformityNormalized

0.982

(0.752–1.283)

0.895

0.773

(0.559–1.067)

0.110

SizeZoneNonUniformityNormalized

1.082

(0.824–1.420)

0.572

0.876

(0.670–1.145)

0.331

SizeZoneNonUniformity

1.098

(0.740–1.629)

0.643

1.310

(0.796–2.156)

0.286

GrayLevelNonUniformity

1.011

(0.625–1.637)

0.964

1.063

(0.585–1.932)

0.841

LargeAreaEmphasis

0.831

(0.447–1.543)

0.557

0.726

(0.400–1.320)

0.254

ZoneVariance

0.733

(0.262–2.053)

0.555

0.611

(0.240–1.556)

0.198

ZonePercentage

1.078

(0.801–1.451)

0.621

0.963

(0.747–1.241)

0.769