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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
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Radiation Oncology

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