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Table 3 Results of radiomics machine learning models for predicting overall survival, disease-free survival and local tumor control

From: Radiomics for prediction of radiation-induced lung injury and oncologic outcome after robotic stereotactic body radiotherapy of lung cancer: results from two independent institutions

Endpoint

Coxnet

Gradient boost

Number of features

CCI train-set

CCI cross-valid

CCI test-set

Number of features

CCI train-set

CCI cross-valid

CCI test-set

Overall survival

191

0.80

p < 0.005

0.52 ± 0.15

0.46

n.s

22

0.99

p < 0.005

0.68 ± 0.13

0.45

n.s

Disease free SV

197

0.94

p < 0.005

0.54 ± 0.11

0.49

n.s

10

0.97

p < 0.005

0.76 ± 0.09

0.52

n.s

Local control

199

0.77

p < 0.005

0.54 ± 0.24

0.36

n.s

5

0.98

p < 0.005

0.89 ± 0.11

0.17

n.s

  1. CCI concordance index, means ± standard deviation are shown, p values: significance level of the model risk score in univariate Cox regression analysis.
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Radiation Oncology

ISSN: 1748-717X

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