Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports-Reference-Cited by-同舟云学术

Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports

Published:2020-09-19 Issue:5 Volume:28 Page:885-892
ISSN:0895-3996
Container-title:Journal of X-Ray Science and Technology
language:
Short-container-title:XST

Author:

Su Ying¹,Han Yi²,Liu Jie³,Qiu Yue¹,Tan Qian⁴,Zhou Zhen⁵,Yu Yi-zhou⁶,Chen Jun⁷,Giger Maryellen L.⁸,Lure Fleming Y. M.⁹,Luo Zhe¹

Affiliation:

1. Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, P.R. China

2. Department of Emergency, Zhongshan Hospital, Fudan University, Shanghai, P.R. Chinacountry>

3. Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, P.R. Chinacountry>

4. Department of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Lung Cancer Center, P.R. China

5. School of Electronics Engineering and Computer Science, Peking University, Peking, P.R. China

6. Department of Computer Science, The University of Hong Kong, Hong Kong, P.R. China

7. Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, P.R. China

8. Department of Radiology, University of Chicago, Chicago, IL, USA

9. MS Technologies Corp, Rockville, MD 20850; Shenzhen Smart Imaging Healthcare Co, Shenzhen, China

Abstract

In this article, we analyze and report cases of three patients who were admitted to Renmin Hospital, Wuhan University, China, for treating COVID-19 pneumonia in February 2020 and were unresponsive to initial treatment of steroids. They were then received titrated steroids treatment based on the assessment of computed tomography (CT) images augmented and analyzed with the artificial intelligence (AI) tool and output. Three patients were finally recovered and discharged. The result indicated that sufficient steroids may be effective in treating the COVID-19 patients after frequent evaluation and timely adjustment according to the disease severity assessed based on the quantitative analysis of the images of serial CT scans.

Publisher

IOS Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiology Nuclear Medicine and imaging,Instrumentation,Radiation

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