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Table 2 Radiomics features associated with grade ≥ 2 RP selected by LASSO regression analysis

From: Novel model integrating computed tomography-based image markers with genetic markers for discriminating radiation pneumonitis in patients with unresectable stage III non-small cell lung cancer receiving radiotherapy: a retrospective multi-center radiogenomics study

Radiomics features

Coefficients

original_shape_LeastAxisLength

0.0016216758231236334

wavelet-LLH_firstorder_Maximum

-3.6599439786952596e-05

wavelet-LLH_glcm_Idn

-0.736174516564197

wavelet-LHL_gldm_SmallDependenceLowGrayLevelEmphasis

383.77372915203637

wavelet-LHL_glszm_SmallAreaLowGrayLevelEmphasis

62.47884571019595

wavelet-HLL_firstorder_Mean

0.04183439614802361

wavelet-HHH_firstorder_Skewness

-0.39594655630028

wavelet-LLL_glcm_Idmn

-78.25411961240329

  1. Abbreviations: LASSO: least absolute shrinkage and selection operator, RP, radiation pneumonitis