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Insights into Imaging
Fig. 5 | Insights into Imaging

Fig. 5

From: CT-based radiomics signature of visceral adipose tissue and bowel lesions for identifying patients with Crohn’s disease resistant to infliximab

Fig. 5

Predictive performance of VAT model, bowel model, and VAT-bowel model in the training cohort and internal and external validation cohorts. Plots in the first row are the ROC curves for the three models and show the performance to distinguish PNR from PR. The second row is the calibration curves of these three models in those three data cohorts, while plots in the third row are the results corresponding decision curve analysis (VAT model, radiomics model based on features extracted from visceral adipose tissue; bowel model, radiomics model based on features extracted from the whole inflamed bowel; VAT-bowel model, a combination of the VAT model and bowel model; ROC, receiver operating characteristic; AUC, area under the receiver operator characteristic curve; PNR, primary nonresponse; PR, primary response to infliximab therapy)

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