Imaging of COVID-19: An update of current evidences.

Imaging of COVID-19: An update of current evidences.
复制标题

2019冠状病毒病成像:现有证据的更新。

DOI:
10.1016/j.diii.2021.05.006
复制
发表时间:
2021-09
影响因子:
5.5
通讯作者:
Utsunomiya D
Utsunomiya D
中科院分区:
医学2区
文献类型:
--
作者:
Kato S;Ishiwata Y;Aoki R;Iwasawa T;Hagiwara E;Ogura T;Utsunomiya D

文献摘要

参考文献

被引文献

相似文献

2019年冠状病毒病(COVID-19),由严重急性呼吸道综合征冠状病毒2(SARS-CoV-2)引起,已被报告为全球紧急情况。由于呼吸功能障碍是COVID-19的主要临床表现,胸部计算机断层扫描(CT)在COVID-19患者的诊断和管理中发挥着核心作用。使用人工智能的成像方法的最新进展作为量化和诊断工具,对于区分COVID-19与其他呼吸道传染病至关重要。此外,COVID-19患者的心血管受累不容忽视,并可能导致疾病迅速恶化和猝死。心脏磁共振成像可以准确地显示SARS-CoV-2感染时心肌受累。本综述总结了放射科在COVID-19管理和诊断中的作用,特别强调了超高分辨率CT表现、心血管并发症和人工智能的潜力。
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been reported as a global emergency. As respiratory dysfunction is a major clinical presentation of COVID-19, chest computed tomography (CT) plays a central role in the diagnosis and management of patients with COVID-19. Recent advances in imaging approaches using artificial intelligence have been essential as a quantification and diagnostic tool to differentiate COVID-19 from other respiratory infectious diseases. Furthermore, cardiovascular involvement in patients with COVID-19 is not negligible and may result in rapid worsening of the disease and sudden death. Cardiac magnetic resonance imaging can accurately depict myocardial involvement in SARS-CoV-2 infection. This review summarizes the role of the radiology department in the management and the diagnosis of COVID-19, with a special emphasis on ultra-high-resolution CT findings, cardiovascular complications and the potential of artificial intelligence.
DOI: 10.1007/s11604-020-00973-x
发表时间: 2020-04-21
影响因子: 2.1
作者:
Fan, Na;Fan, WenHui;Liang, Yi
通讯作者: Liang, Yi
DOI: 10.1007/s11604-020-00956-y
发表时间: 2020-03-31
影响因子: 2.1
作者:
Iwasawa, Tae;Sato, Midori;Ogura, Takashi
通讯作者: Ogura, Takashi
DOI: 10.1093/ehjci/jeaa136
发表时间: 2020-07-01
影响因子: 6.2
作者:
Cosyns, Bernard;Lochy, Stijn;Edvardsen, Thor
通讯作者: Edvardsen, Thor
DOI: 10.1016/j.jacc.2020.08.069
发表时间: 2020-11-03
影响因子: 24
作者:
Giustino G;Croft LB;Stefanini GG;Bragato R;Silbiger JJ;Vicenzi M;Danilov T;Kukar N;Shaban N;Kini A;Camaj A;Bienstock SW;Rashed ER;Rahman K;Oates CP;Buckley S;Elbaum LS;Arkonac D;Fiter R;Singh R;Li E;Razuk V;Robinson SE;Miller M;Bier B;Donghi V;Pisaniello M;Mantovani R;Pinto G;Rota I;Baggio S;Chiarito M;Fazzari F;Cusmano I;Curzi M;Ro R;Malick W;Kamran M;Kohli-Seth R;Bassily-Marcus AM;Neibart E;Serrao G;Perk G;Mancini D;Reddy VY;Pinney SP;Dangas G;Blasi F;Sharma SK;Mehran R;Condorelli G;Stone GW;Fuster V;Lerakis S;Goldman ME
通讯作者: Goldman ME
DOI: 10.1007/s11604-020-01085-2
发表时间: 2021-05
影响因子: 2.1
作者:
Aoki R;Iwasawa T;Hagiwara E;Komatsu S;Utsunomiya D;Ogura T
通讯作者: Ogura T