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Chest computed tomography radiomics to predict the outcome for patients with COVID-19 at an early stage
Wu, Shan; Zhang, Ranying; Wan, Xinjian; Yao, Ting; Zhang, Qingwei; Chen, Xiaohua; Fan, Xiaohong.
Afiliación
  • Wu S; Department of Endoscopy, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhang R; Department of Radiology, Zhongshan Hospital, Fudan University, and Shanghai Institute of Medical Imaging, Shanghai, China.
  • Wan X; Department of Endoscopy, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yao T; Department of Infectious Disease, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhang Q; Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, Shanghai, China.
  • Chen X; Department of Infectious Disease, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Fan X; Department of Respiratory Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Department of Respiratory and Critical Care, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Diagn Interv Radiol ; 29(1): 91-102, 2023 01 31.
Article en En | MEDLINE | ID: mdl-36960545
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome de Dificultad Respiratoria / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Diagn Interv Radiol Asunto de la revista: DIAGNOSTICO POR IMAGEM / RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Síndrome de Dificultad Respiratoria / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Diagn Interv Radiol Asunto de la revista: DIAGNOSTICO POR IMAGEM / RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China