Article: An Efficient Approach based on 3D Reconstruction of CT Scan to Improve the Management and Monitoring of COVID-19 Patients
Heliyon
Abstract: Purpose To 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 Methods We have retrieved CT images of 185 COVID-19 patients from the Cheikh ... ...
| Abstract | Purpose To 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 Methods We 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 Results In 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 Conclusion 3D 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 |
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| Keywords | covid19 |
| Publisher | WHO |
| Document type | Article |
| Note | WHO #Covidence: #912213 |
| Database | COVID19 |
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