Exploring the use of chest CT-based imaging biomarkers for early-stage COVID-19 screening SARSCoV2 COVID19 CT CTImaging Biomarker Screening
By Neha MathurOct 14 2022Reviewed by Aimee Molineux In a recent study published in Frontiers in Public Health, researchers demonstrated that vasculature-like signals in chest computed tomography scans could serve as robust imaging biomarkers of early-stage coronavirus disease 2019 screening. They also validated these clinical-relevant IBs, thus, opening a new possibility to assist in screening COVID-19 patients.
However, what limits the use of most chest CT-based computational studies is the fact that there is a lack of typical characteristics in early-stage COVID-19 patients. Moreover, patients with community-acquired pneumonia have misleading chest CT characteristics. The team invited two radiologists with more than two months of intense and continuous diagnosis experience of COVID-19 in Wuhan, China, to independently and blindly assess the CT images in the validation cohort of the study. Finally, they used Mann-Whitney non-parametric test to determine the difference in vasculature-like signals and the abundance of individual IBs among different groups. Likewise, they used logistic regression to find an association between lung signatures and COVID-19.
Applying Stacked Predictive Sparse Decomposition on the vasculature-like signal space from the training cohort uncovered eight COVID-19-relevant IBs. Each had a significantly different abundance between COVID-19 patients and others, as assessed by principal component analysis and clustering. A random forest classification model for COVID-19 screening based on these IBs within the training cohort showed that each IB contributed differently during screening.
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