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Performance of radiomics models for survival prediction in non-small-cell lung cancer: influence of CT slice thickness.

Sohee ParkSang Min LeeSeonok KimSehoon ChoiWooil KimKyung-Hyun DoJoon Beom Seo
Published in: European radiology (2020)
• Three radiomics models based on 1-, 3-, and 5-mm CT datasets showed C-indices for predicting disease-free survival of 0.68-0.70 in the development set and 0.73-0.76 in the validation set, without statistical differences (p = 0.27-0.90). • Application of the radiomics models to different slice thickness datasets showed no significant differences in performance between the values in the prediction of disease-free survival (p = 0.07-0.99). • Three radiomics models based on 1-, 3-, and 5-mm CT datasets performed well in mixed slice thickness datasets, showing similar or slightly lower performances.
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