Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia.
Liang LiLi WangFeifei ZengGongling PengZan KeHuan LiuYun-Fei ZhaPublished in: European radiology (2021)
• Radiomics can be applied in CT images of COVID-19 and radiomics signature was an independent predictor of severe COVID-19. • CT-based radiomics model can predict severe COVID-19 with satisfactory accuracy compared with subjective CT findings and clinical factors. • Radiomics nomogram integrated with the radiomics signature, subjective CT findings, and clinical factors can achieve better severity prediction with improved diagnostic performance.
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