Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting.

Yeshaswini NagarajGonda de JongeAnna AndreychenkoGabriele PrestiMatthias A FinkNikolay PavlovCarlo C QuattrocchiSergey MorozovRaymond VeldhuisMatthijs OudkerkPeter M A van Ooijen

Published in: European radiology (2022)

• Automatic CO-RADS scoring of large-scale multi-demographic chest CTs with mean AUC of 0.93 ± 0.04. • Validation procedure resembles TRIPOD 2b and 3 categories, enhancing the quality of experimental design to test the cross-dataset domain shift between institutions aiding clinical integration. • Identification of COVID-19 pneumonia in the presence of community-acquired pneumonia and other comorbidities with an AUC of 0.92.

Keyphrases

community acquired pneumonia
coronavirus disease
sars cov
computed tomography
contrast enhanced
positron emission tomography
deep learning
respiratory syndrome coronavirus
machine learning
lymph node metastasis
quality improvement
image quality
clinical evaluation