A comprehensive analysis of the use of lung ultrasonography in the diagnosis and monitoring of COVID-19 disease development

Abstract

Author(s): Vaibhav Kaushik, Vikram Shete, Nayana Borah, Roma Patel, Abhinav Mishra, Virendra Patil

Purpose: Lung Ultrasonography (LUS) have surface as an expensive tool in the analysis and monitoring of COVID-19, known its capability to offer realtime imaging and detect pulmonary abnormalities associated with the disease, the identification of the unique LUS findings of COVID-19 and the presentation of their correlation with the prognostic factors and early severity of the illness.

Method: The PRISMA recommendations were followed when conducting the comprehensive analysis. Finding suggests utilizing the descriptions lung ultrasonography and corona virus disease-19, SARS-CoV-2 was done by a survey on PubMed. A total of 1400 publications were found in which 10 were included. The increasing number of COVID-19 necessitates analytical tools for therapeutic treatment.

Results: LU is a non-invasive method used to diagnose interstitial lung syndrome, revealing a characteristic pattern in COVID-19 pneumonia patients. LU has shown promise in detect and correlated with CT scan outcome. It proved useful as a practical substitute for more intrusive treatments in both monitoring the development of the disease and detecting the original infection. Regular evaluations, which are essential for handling serious situations, were made easier by real-time imaging. The probability of negative outcomes (Intensive Care Unit (ICU) admission, or requirement for involuntary aeration, death,) was greater in patients in the Emergency Department (ED) with higher LUS scores. The diagnosis of COVID-19 was well-predicted by the LUS results and/or the LUS score.

Conclusions: The development of negative consequences is correlated with high LUS scores. Pleural Effusion (PE) inclusion in the LUS score and imaging protocol standardization for COVID-19 LUS are still being discussed. Its practicality for medical professionals stems from its capacity to monitor the progression of diseases and offer quick feedback. To standardize techniques and maximize their application in diverse therapeutic situations even during lung cancer therapies, more research is required.

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