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Table 3 Prognosis prediction performance for each subgroup

From: Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients

Subgroup Radiomic model Combined model
Training, mean ± sd Test, mean ± sd Training, mean ± sd Test, mean ± sd
All data (n = 304) 0.63 ± 0.01* 0.62 ± 0.03* 0.65 ± 0.01* 0.64 ± 0.04*
SCCall (n = 135) 0.60 ± 0.03 0.59 ± 0.03 0.62 ± 0.04 0.60 ± 0.05
ADCall (n = 149) 0.66 ± 0.02* 0.64 ± 0.02* 0.70 ± 0.02* 0.69 ± 0.04*
T1 (n = 93) 0.66 ± 0.03* 0.66 ± 0.04* 0.70 ± 0.02* 0.68 ± 0.03*
T2 (n = 96) 0.64 ± 0.03* 0.63 ± 0.05* 0.66 ± 0.02* 0.65 ± 0.02*
T3 (n = 49) 0.68 ± 0.02* 0.65 ± 0.03* 0.68 ± 0.04* 0.66 ± 0.06*
T4 (n = 55) 0.65 ± 0.02* 0.63 ± 0.04* 0.72 ± 0.02* 0.70 ± 0.06*
SCCT1 (n = 40) 0.59 ± 0.05 0.57 ± 0.05 0.61 ± 0.03 0.58 ± 0.04
SCCT2 (n = 41) 0.57 ± 0.04 0.55 ± 0.04 0.61 ± 0.03 0.59 ± 0.05
SCCT3 (n = 26) 0.69 ± 0.05 0.58 ± 0.04 0.71 ± 0.08 0.59 ± 0.04
SCCT4 (n = 25) 0.71 ± 0.02 0.71 ± 0.04 0.74 ± 0.05* 0.71 ± 0.03
ADCT1 (n = 46) 0.78 ± 0.02* 0.75 ± 0.05* 0.84 ± 0.03* 0.83 ± 0.04*
ADCT2 (n = 48) 0.70 ± 0.02* 0.68 ± 0.05* 0.72 ± 0.01* 0.72 ± 0.05*
ADCT3 (n = 20) 0.83 ± 0.04* 0.81 ± 0.03* 0.83 ± 0.04* 0.81 ± 0.02*
ADCT4 (n = 27) 0.71 ± 0.05* 0.70 ± 0.05* 0.75 ± 0.03* 0.73 ± 0.02*
  1. SCC squamous cell carcinoma, ADC adenocarcinoma, sd standard deviation
  2. *P value < 0.05