Document Type
Article
Publication Date
4-17-2020
Abstract
The spread of new coronavirus (SARS-Cov-2) follows a different pattern than previous respiratory viruses, posing a serious public health risk worldwide. World Health Organization (WHO) named the disease as COVID-19 and declared it a pandemic. COVID-19 is characterized by highly contagious nature, rapid transmission, swift clinical course, profound worldwide impact, and high mortality among critically ill patients. Chest X-ray, computerized tomography (CT), and ultrasound are commonly used imaging modalities. Among them, ultrasound, due to its portability and non-invasiveness, can be easily moved to the bedside for examination at any time. In addition, with use of 4G or 5G networks, remote ultrasound consultation can also be performed, which allows ultrasound to be used in isolated medial areas. Besides, the contact surface of ultrasound probe with patients is small and easy to be disinfected. Therefore, ultrasound has gotten lots of positive feedbacks from the frontline healthcare workers, and it has played an indispensable role in the course of COVID-19 diagnosis and follow up.
Recommended Citation
Lv, MD, Faqin; Wang, MD, Jinrui; Yu, MD, Xing; Yang, MD, Aiping; Liu, MD, Ji-Bin; Qian, MD, Linxue; Xu, MD, Huixiong; Cui, MD, Ligang; Xie, MD, Mingxing; Liu, MD, Xi; Peng, MD, Chengzhong; Huang, MD, Yi; Kou, MD, Haiyan; Wu, MD, Shengzheng; Yang, MD, Xi; Tu, MD, Bin; Jia, MD, Huaping; Meng, MD, Qingyi; Liu, MD, Je; and Ye, MD, Ruizhong, "Chinese Expert Consensus on Critical Care Ultrasound Applications at COVID-19 Pandemic" (2020). Department of Radiology Faculty Papers. Paper 84.
https://jdc.jefferson.edu/radiologyfp/84
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Language
English
Included in
Critical Care Commons, Infectious Disease Commons, Radiology Commons
Comments
This article is the author’s final published version in Advanced Ultrasound in Diagnosis and Therapy, Volume 4, Issue 2, April 2020, Pages 27-42.
The published version is available at https://doi.org/10.37015/AUDT.2020.200029. Copyright © Lv et al.