Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics analysis in a crab-eating macaque model of COVID-19: stability and sensitivity analysis
Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging
; 12036, 2022.
Article
in English
| Scopus | ID: covidwho-1901881
ABSTRACT
As of 14 December 2021, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), caused nearly 269 million confirmed cases and almost 5.3 million deaths worldwide. Chest computed tomography (CT) has high diagnostic sensitivity for the detection of pulmonary disease in COVID-19 patients. Toward timely and accurate clinical evaluation and prognostication, radiomic analyses of CT images have been explored to investigate the correlation of imaging and non-imaging clinical manifestations and outcomes. Delta (∆) radiomics optimally performed from pre-infection to the post-critical phase, requires baseline data typically not obtained in clinical settings;additionally, their robustness is affected by differences in acquisition protocols. In this work, we investigated the reliability, sensitivity, and stability of whole-lung radiomic features of CT images of nonhuman primates either mock-exposed or exposed to SARS-CoV-2 to study imaging biomarkers of SARS-CoV-2 infection. Images were acquired at a pre-exposure baseline and post-exposure days, and lung fields were segmented. The reliability of radiomic features was assessed, and the dynamic range of each feature was compared to the maximum normal intra-subject variation and ranked. © 2022 SPIE
computed tomography; COVID-19; CT; image reconstruction; radiomics; reliability; repeatability; SARSCoV-2; stability; Biological organs; Computerized tomography; Diagnosis; Image analysis; Mammals; Medical imaging; Reliability analysis; Sensitivity analysis; Clinical evaluation; Computed tomography images; Coronavirus disease 2019; Coronaviruses; Images reconstruction; Non-imaging; Radiomic; Severe acute respiratory syndrome coronavirus; Coronavirus
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Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging
Year:
2022
Document Type:
Article
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