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Table 2 Statistically significant univariate associations between radiomic features and Fibroblast cell type abundance

From: Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes

Radiomic Feature

Feature Type

Correlation Coefficient

Adjusted p Value1

Tumor mean pixel intensity in Pre-contrast

Texture

0.42

0.011

Tumor mean pixel intensity in Post-contrast1

Texture/Kinetic

0.38

0.013

Tumor mean pixel intensity in Post-contrast2

Texture/Kinetic

0.39

0.011

Tumor mean pixel intensity in Post-contrast3

Texture/Kinetic

0.39

0.011

Mean intermediate WOS

Kinetic

0.39

0.011

Mean quick WIS

Kinetic

0.43

0.011

Mean intermediate WIS

Kinetic

0.41

0.011

Mean slow WIS

Kinetic

0.39

0.011

Mean quick PE

Kinetic

0.41

0.011

Mean intermediate PE

Kinetic

0.41

0.011

Mean slow PE

Kinetic

0.39

0.011

Tumor contrast

Texture

0.24

0.023

Tumor skewness in Post-contrast2

Texture/Kinetic

−0.38

0.013

Tumor kurtosis in Post-contrast3

Texture/Kinetic

−0.34

0.045

  1. 1 P values were adjusted for multiple comparisons using the Benjamini & Hochberg false discovery rate (FDR) method