Progress and prospect on imaging diagnosis of COVID-19.
Artificial intelligence
COVID-19
Imaging
Viral pneumonia
Journal
Chinese journal of academic radiology
ISSN: 2520-8993
Titre abrégé: Chin J Acad Radiol
Pays: Singapore
ID NLM: 101765551
Informations de publication
Date de publication:
2020
2020
Historique:
received:
23
02
2020
revised:
23
02
2020
accepted:
04
03
2020
pubmed:
16
4
2020
medline:
16
4
2020
entrez:
16
4
2020
Statut:
ppublish
Résumé
COVID-19 has become a public health emergency due to its rapid transmission. The appearance of pneumonia is one of the major clues for the diagnosis, progress and therapeutic evaluation. More and more literatures about imaging manifestations and related research have been reported. In order to know about the progress and prospective on imaging of COVID-19, this review focus on interpreting the CT findings, stating the potential pathological basis, proposing the challenge of patients with underlying diseases, differentiating with other diseases and suggesting the future research and clinical directions, which would be helpful for the radiologists in the clinical practice and research.
Identifiants
pubmed: 32292880
doi: 10.1007/s42058-020-00031-5
pii: 31
pmc: PMC7149076
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
4-13Informations de copyright
© Springer Nature Singapore Pte Ltd. 2020.
Déclaration de conflit d'intérêts
Conflict of interestThe authors declare that they have no competing interests.
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