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The Predictive Role of Artificial Intelligence-Based Chest CT Quantification in Patients with COVID-19 Pneumonia
- Source :
- Tomography, Volume 7, Issue 4, Pages 58-710, Tomography, Vol 7, Iss 58, Pp 697-710 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- We sought to analyze the prognostic value of laboratory and clinical data, and an artificial intelligence (AI)-based algorithm for Coronavirus disease 2019 (COVID-19) severity scoring, on CT-scans of patients hospitalized with COVID-19. Moreover, we aimed to determine personalized probabilities of clinical deterioration. Data of symptomatic patients with COVID-19 who underwent chest-CT-examination at the time of hospital admission between April and November 2020 were analyzed. COVID-19 severity score was automatically quantified for each pulmonary lobe as the percentage of affected lung parenchyma with the AI-based algorithm. Clinical deterioration was defined as a composite of admission to the intensive care unit, need for invasive mechanical ventilation, use of vasopressors or in-hospital mortality. In total 326 consecutive patients were included in the analysis (mean age 66.7 ± 15.3 years, 52.1% male) of whom 85 (26.1%) experienced clinical deterioration. In the multivariable regression analysis prior myocardial infarction (OR = 2.81, 95% CI = 1.12–7.04, p = 0.027), immunodeficiency (OR = 2.08, 95% CI = 1.02–4.25, p = 0.043), C-reactive protein (OR = 1.73, 95% CI = 1.32–2.33, p &lt<br />0.001) and AI-based COVID-19 severity score (OR = 1.08<br />95% CI = 1.02–1.15, p = 0.013) appeared to be independent predictors of clinical deterioration. Personalized probability values were determined. AI-based COVID-19 severity score assessed at hospital admission can provide additional information about the prognosis of COVID-19, possibly serving as a useful tool for individualized risk-stratification.
- Subjects :
- Male
Coronavirus disease 2019 (COVID-19)
medicine.medical_treatment
Computer applications to medicine. Medical informatics
Chest ct
R858-859.7
Article
law.invention
law
Medicine
Humans
Radiology, Nuclear Medicine and imaging
In patient
Myocardial infarction
Immunodeficiency
Aged
Mechanical ventilation
Aged, 80 and over
business.industry
SARS-CoV-2
COVID-19
computed tomography
Pneumonia
Middle Aged
medicine.disease
artificial intelligence
Intensive care unit
Female
Artificial intelligence
business
Tomography, X-Ray Computed
Subjects
Details
- Language :
- English
- ISSN :
- 2379139X
- Database :
- OpenAIRE
- Journal :
- Tomography
- Accession number :
- edsair.doi.dedup.....7a1f0c2cd38c224babfbcb2833badbd9
- Full Text :
- https://doi.org/10.3390/tomography7040058