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Evaluation of novel coronavirus disease (COVID-19) using quantitative lung CT and clinical data: prediction of short-term outcome.
- Source :
-
European radiology experimental [Eur Radiol Exp] 2020 Jun 26; Vol. 4 (1), pp. 39. Date of Electronic Publication: 2020 Jun 26. - Publication Year :
- 2020
-
Abstract
- Background: Computed tomography (CT) enables quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, helping in outcome prediction.<br />Methods: From 1 to 22 March 2020, patients with pneumonia symptoms, positive lung CT scan, and confirmed SARS-CoV-2 on reverse transcription-polymerase chain reaction (RT-PCR) were consecutively enrolled. Clinical data was collected. Outcome was defined as favourable or adverse (i.e., need for mechanical ventilation or death) and registered over a period of 10 days following CT. Volume of disease (VoD) on CT was calculated semi-automatically. Multiple linear regression was used to predict VoD by clinical/laboratory data. To predict outcome, important features were selected using a priori analysis and subsequently used to train 4 different models.<br />Results: A total of 106 consecutive patients were enrolled (median age 63.5 years, range 26-95 years; 41/106 women, 38.7%). Median duration of symptoms and C-reactive protein (CRP) was 5 days (range 1-30) and 4.94 mg/L (range 0.1-28.3), respectively. Median VoD was 249.5 cm <superscript>3</superscript> (range 9.9-1505) and was predicted by lymphocyte percentage (p = 0.008) and CRP (p < 0.001). Important variables for outcome prediction included CRP (area under the curve [AUC] 0.77), VoD (AUC 0.75), age (AUC 0.72), lymphocyte percentage (AUC 0.70), coronary calcification (AUC 0.68), and presence of comorbidities (AUC 0.66). Support vector machine had the best performance in outcome prediction, yielding an AUC of 0.92.<br />Conclusions: Measuring the VoD using a simple CT post-processing tool estimates SARS-CoV-2 burden. CT and clinical data together enable accurate prediction of short-term clinical outcome.
- Subjects :
- Adult
Aged
Aged, 80 and over
COVID-19
Coronavirus Infections diagnostic imaging
Evaluation Studies as Topic
Female
Humans
Male
Middle Aged
Pandemics
Patient Outcome Assessment
Pneumonia, Viral diagnostic imaging
Predictive Value of Tests
Prognosis
Reproducibility of Results
SARS-CoV-2
Betacoronavirus
Coronavirus Infections diagnosis
Lung diagnostic imaging
Pneumonia, Viral diagnosis
Real-Time Polymerase Chain Reaction methods
Tomography, X-Ray Computed methods
Subjects
Details
- Language :
- English
- ISSN :
- 2509-9280
- Volume :
- 4
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- European radiology experimental
- Publication Type :
- Academic Journal
- Accession number :
- 32592118
- Full Text :
- https://doi.org/10.1186/s41747-020-00167-0