Multi-Contrast Chest Radiography (MC-CXR) for COVID-19 Diagnosis and Screening
- Funded by National Institutes of Health (NIH)
- Total publications:1 publications
Grant number: 3R01EB020521-04S1
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Key facts
Disease
COVID-19Start & end year
2020.02021.0Known Financial Commitments (USD)
$404,441Funder
National Institutes of Health (NIH)Principal Investigator
PROFESSOR Guang-Hong ChenResearch Location
United States of AmericaLead Research Institution
UNIVERSITY OF WISCONSIN-MADISONResearch Priority Alignment
N/A
Research Category
Pathogen: natural history, transmission and diagnostics
Research Subcategory
Diagnostics
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Abstract As of 4/30/2020, the Coronavirus Disease 2019 (COVID-19) has infected more than one million people and caused 60,057 deaths in the United States. Neither the clinical symptoms nor the radiological features of COVID- 19 are specific to the disease, resulting in significant challenges to the screening and early diagnosis of this highly infectious disease. The current gold standard method for COVID-19 diagnosis, the reverse transcriptase polymerase chain reaction (RT-PCR) test, has a relatively long turnaround time. Chest x-ray radiography (CXR) has been widely used in the United States for COVID-19 assessment since the first case reported in the US. However, the major challenge with the use of CXR is its low sensitivity and specificity to COVID-19, which is largely attributed to the lack of x-ray absorption contrast sensitivity to mild alveolar damages in the early phases of COVID-19. In this Emergency Competitive Revision, we offer a quick response to the imperative clinical need to improve the diagnostic accuracy of CXR to COVID-19 by leveraging the multi-contrast x-ray imaging technology developed in our ongoing R01 project (EB020521). In particular, the x-ray dark field contrast mechanism is orders of magnitude more sensitive to partial fillings or collapses of alveoli and thus is expected to offer a significant boost to CXR's sensitivity to alveolar damage. We will quickly construct a multi-contrast chest x-ray radiography (MC-CXR) system, characterize its physical performance, evaluate its radiation safety, and optimize its scan protocols. Finally, we will conduct a pilot human subject study to collect initial evidence for its clinical value in diagnosing COVID-19. Considering the high likelihood for a second wave of COVID-19, the availability of the proposed MC-CXR system can facilitate the hospital systems to cope with additional rounds of patient surge by providing rapid "entrance" assessment of COVID-19.
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