Table 2 Selected radiomic features in the multiparametric MRI imaging and in each MRI.

From: Radiomics prognostication model in glioblastoma using diffusion- and perfusion-weighted MRI

Result category

CET1

FLAIR

ADC

CBV

Individual features

Sum entropy (mean) LLH GLCM dist = 3

(P = 0.0003)

Mean absolute deviation LHH first order (P = 0.0023)

High gray-level run emphasis (std)(P = 0.0003)

Skewness HHH first order (P = 0.0008)

Entropy (std) HHL GLCM dist = 1 (P = 0.0014)

Long run high gray-level emphasis (mean) HHH GLRLM (P = 0.0003)

  1. P-value for each radiomic feature associated with outcome was calculated using univariate Cox proportional hazards regression.
  2. Abbreviations: CET1 = contrast-enhanced T1-weighted imaging, FLAIR = fluid-attenuated inversion recovery, ADC = apparent diffusion coefficient, CBV = cerebral blood volume. H = high-pass filter, L = low-pass filter, GLCM = gray-level co-occurrence matrix, GLRLM = gray-level run-length matrix.
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