Abstract
PurposeTo reconstruct a 3D visualization from CT images of COVID-19 patients in order to improve understanding of the disease for better management and follow-up. Materials and methodsWe have retrieved CT images of 185 COVID-19 patients from the Cheikh Zaid International University Hospital in Rabat, Morocco. We then performed computer processing that allowed us to obtain a 3D visualization of these patients. ResultsIn this article, we have chosen to do 3D reconstruction of three specific cases among 185 patients:- Cases (A1, A2) which are negative RT-PCR patient with normal CT images.- Cases (B1, B2) which are positive RT-PCR patient with abnormal CT images.- Case (C) which is a negative RT-PCR patient with CT abnormalities.To improve our results and have a better quality of the 3D reconstruction, we used different algorithms and a specific row data processing. Conclusion3D reconstruction has a significant role in the diagnosis and management of COVID-19 patients. The quality and reliability of 3D reconstructions allow the clinician to make a quick and efficient diagnosis and avoid an eventual false negative (produced by the RT-PCR test). We suggest including chest 3D reconstruction in the patient management and prognosis evaluation.
Highlights
During the month of December 2019, in Wuhan County, capital of the Hubei Province in China, several cases of pneumonia linked to a newly identified coronavirus appeared [1]
After real-time polymerase chain reaction (RT-PCR) test was performed, 38 patients came back positive, and 52 PCR negative patients were declared positive based on their Computed Tomography (CT)
38 patients (20.5%) were declared positive based on the results of the RT-PCR test while 52 RT-PCR negative patients (28.1%) were declared positive based on their CT scan. 95 patients (51.3%) were tested negative and had normal chest 3D reconstruction
Summary
During the month of December 2019, in Wuhan County, capital of the Hubei Province in China, several cases of pneumonia linked to a newly identified coronavirus appeared [1]. In early March 2020, the WHO decided to classify COVID-19 a pandemic due to the rapid increase in the number of cases outside China and the growing number of affected countries [4]. As of today (22 May 2020), there are nearly 5,220,000 confirmed cases, spread over 185 countries, with nearly 335,000 deaths, i.e. a mortality rate close to 6.4% [5]. In this context, and considering the absence of specific efficient drugs or vaccines against COVID-19, it becomes imperative to detect the disease at an early stage and immediately isolate the infected person from the healthy population
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