CT-based radiomics for predicting the rapid progression of coronavirus disease 2019 (COVID-19) pneumonia lesions

To develop and validate a radiomic model to predict the rapid progression (defined as volume growth of pneumonia lesions > 50% within seven days) in patients with coronavirus disease 2019 (COVID-19). Patients with laboratory-confirmed COVID-19 who underwent longitudinal chest CT between January 0...

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Veröffentlicht in:	British journal of radiology 2021-06, Vol.94 (1122), p.20201007-20201007
Hauptverfasser:	Zhang, Bin, Ni-Jia-Ti, Ma-Yi-di-Li, Yan, Ruike, An, Nan, Chen, Lv, Liu, Shuyi, Chen, Luyan, Chen, Qiuying, Li, Minmin, Chen, Zhuozhi, You, Jingjing, Dong, Yuhao, Xiong, Zhiyuan, Zhang, Shuixing
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult COVID-19 - diagnostic imaging Decision Trees Disease Progression Female Humans Logistic Models Male Middle Aged Pandemics Pneumonia, Viral - diagnostic imaging Pneumonia, Viral - virology Predictive Value of Tests SARS-CoV-2 Sensitivity and Specificity Short Communication Support Vector Machine Tomography, X-Ray Computed - methods
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