A Short Review of Benefits of Using Chest CT Characteristics for Early diagnoses to Corona Virus Disease 2019 (COVID-19)

Download Citation in txt Download Citation in bib Download Citation in ris

Author Info

R. Vennila P. Venkatraman

Corresponding Author

R. Vennila
Department of Radio-diagnosis, SRM Institute of Science and Technology, SRM Medical College Hospital and Research Centre, Tamil Nadu, India

A B S T R A C T

In 21st century, the year 2020 was expected with much development in India as well many other countries. But unfortunately, the world is facing many natural calamities. World is taking steps towards rescue mission of the disasters. Among of those calamities, deadly Corona Virus remains still all over the world as pandemic disease. Even the developed countries are struggling to come back to its normal routine. India is a country with developing technologies. Vaccines are yet to be developed for treatment of this Novel Corona Virus. As a diagnostic tool, Nasopharyngeal and Oropharyngeal swabs are taken from the person and tested using RT-PCR. This test is not 100 percent accurate. Confirmed COVID patients after few days are undergoing the medical imaging. This diagnostic imaging technique helps in showing the progression of this virus spread in Upper and Lower respiratory system. Chest Radiography is low cost modality but its sensitivity towards observation is 69%. Lung Ultrasound is used in Intensive Care patients and not used for routine diagnosing purpose. Computed Tomography plays a crucial role in three-dimensional chest imaging of COVID-19 patients. The sensitivity of CT is 98%. The aim of this paper is to consider CT as a tool for diagnosing COVID-19 patient than using the standard tool RT-PCR. A brief knowledge about imaging modality like X-ray, Ultrasound and Computed Tomography when used against COVID patient is explained. This paper gives reason for the ideal use of CT diagnosis for COVID 19.

Article Info

Article Type

Review Article

Publication history

Received: Mon 05, Oct 2020
Accepted: Wed 02, Dec 2020
Published: Mon 28, Dec 2020

Copyright

© 2023 R. Vennila. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Hosting by Science Repository.
DOI: 10.31487/j.RDI.2020.04.03