Chest CT performance and features of COVID-19 in the region of Abu Dhabi, UAE: a single institute study

Saeed, Ghufran; Helali, Abeer Ahmed Al; Shah, Asad; Almazrouei, Safaa; Ahmed, Luai A.

doi:10.1007/s42058-021-00075-1

Cited by 4 publications

(3 citation statements)

References 48 publications

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“…There was significant correlation between clinical severity and death, fibrosis at 3 and 6 months. GhufranArefSaeed et al [37] in their study concluded that the oxygen requirements and length of hospital stay were increasing with the increase in scan severity. MehrdadNabahati et al…”

Section: Discussionmentioning

confidence: 97%

Study to Identify the Prevalence and Predictive Factors of Post COVID Lung Fibrosis in COVID-19

Chopra

Modi

Tirpude

et al. 2022

JAMMR

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Background: SARS CoV-2 has affected more than 494 millions of people all over across the globe till date. Most lethal infection of SARS-CoV-2 is highly representative of patients suffering with idiopathic pulmonary fibrosis (IPF) [1]. Interstitial thickening, irregular interface, coarse reticular pattern, and parenchymal bands manifesting in the course of the disease might be predictors of pulmonary fibrosis in these patients [2]. Objectives and Methods: Objective of the study is to identify the prevalence and predictive factors of post covid lung fibrosis in covid-19 patients. The study was conducted in a retrospective manner and included 100 patients in our tertiary care center. HRCT thorax conducted in all patients were evaluated on admission, one month, 3 month and 6 months whereever indicated. Results: The prevalence of post covid lung fibrosis was 2 % at 6 months , with CT severity score more for elderly male population. In our study we found a significant corelation between clinical severity and post covid fibrosis. Conclusion: From our study, the post COVID lung changes are reversible, with only 2 % developing the post covid lung fibrosis.

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Section: Discussionmentioning

confidence: 97%

Study to Identify the Prevalence and Predictive Factors of Post COVID Lung Fibrosis in COVID-19

Chopra

Modi

Tirpude

et al. 2022

JAMMR

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“…The purpose of this study was to describe the chest HRCT scan findings in patients with COVID-19 and to compare the accuracy of HRCT with that of the current gold standard, PCR. 10,11,12,13,14,15,2,11,3,3,16,17 Chest HRCT findings…”

Section: Discussionmentioning

confidence: 99%

High resolution chest computed tomography findings in patients with clinically suspected COVID-19 pneumonia in Uganda: a cross-sectional study

Rita,

Aloysius Gonzaga,

Randhawa

et al. 2023

Afr H. Sci.

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Background: The alarming spread of the COVID-19 pandemic has led to a shortage of RT-PCR kits in Uganda necessitating the use of high-resolution chest Computed Tomography to guide patient management and treatment.Main Objective: To describe the chest HRCT findings in patients with clinically suspected COVID-19 pneumonia and to compare its diagnostic accuracy to RT-PCR. .Methods: In this cross-sectional study, chest HRCT findings of 384 patients and available RT-PCR laboratory results were reviewed and recorded in the data collection form.Results: The commonest chest HRCT findings were bilateral ground glass opacities (78.2%). Out of the 31.7% patients that took the PCR test only 26.9% tested positive. 16 out of 17 patients who tested negative, were classified under CORADS 5.The sensitivity of chest HRCT was 90.4%, 95% CI (82.6-95.5), positive predictive value of 84.2%, 95% CI (75.6-90.7), and accuracy of 77.5%, 95% CI (71.5-87.1).Conclusions: HRCT was found superior to RT-PCR in diagnosing COVID-19. A patient with positive HRCT findings should be treated as COVID 19 when RT-PCR is inaccessible or results are negative. A patient with negative HRCT requires complimentary RT-PCR and possibly follow up CT scans if symptoms persist before treating for COVID 19.

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“…2. Single center research is more common 31 . For a large scale of the world, the model based on a single central sample training lacks universality, so it is difficult to achieve the degree of promotion.…”

Section: Discussmentioning

confidence: 99%

Radiomics’ application for diagnosis and treatment of COVID-19: A review

Zhang²,

Cheng³

et al. 2022

6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022)

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The rapid development of Machine Learning (ML), Machine Vision and imaging technology has greatly promoted medical imaging and Intelligent Medical Engineering. Radiomics combines medical imaging with Big Data, Machine Learning and other technologies to realize the diagnosis and treatment of Corona Virus Disease 2019 (COVID-19) by obtaining and analyzing lung image characteristics. This paper systematically reviews the realization process of radiomics in COVID-19, the latest research on radiomics in COVID-19's diagnosis, classification and prognosis, as well as the problems and challenges faced in this research field. By and large, radiomics provides great potential and application value in the diagnosis, classification and prognosis of COVID-19. It makes up for the deficiency of doctor's diagnosis and Reverse Transcription-Polymerase Chain Reaction (RT-PCR) test, and provides an effective and feasible method for improving the diagnosis and treatment level of COVID-19 with low cost, high efficiency and accuracy.

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Chest CT performance and features of COVID-19 in the region of Abu Dhabi, UAE: a single institute study

Cited by 4 publications

References 48 publications

Study to Identify the Prevalence and Predictive Factors of Post COVID Lung Fibrosis in COVID-19

Study to Identify the Prevalence and Predictive Factors of Post COVID Lung Fibrosis in COVID-19

High resolution chest computed tomography findings in patients with clinically suspected COVID-19 pneumonia in Uganda: a cross-sectional study

Radiomics’ application for diagnosis and treatment of COVID-19: A review

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