Diagnostic classification of coronavirus disease 2019 (COVID-19) and other pneumonias using radiomics features in CT chest images

We propose a classification method using the radiomics features of CT chest images to identify patients with coronavirus disease 2019 (COVID-19) and other pneumonias. The chest CT images of two groups of participants (90 COVID-19 patients who were confirmed as positive by nucleic acid test of RT-PCR...

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Bibliographic Details
Published in:Scientific reports 2021-09, Vol.11 (1), p.17885-17885, Article 17885
Main Authors: Yang, Ning, Liu, Faming, Li, Chunlong, Xiao, Wenqing, Xie, Shuangcong, Yuan, Shuyi, Zuo, Wei, Ma, Xiaofen, Jiang, Guihua
Format: Article
Language:English
Subjects:
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Blood
C-reactive protein
Chest
Coronaviruses
Correlation analysis
COVID-19
Erythrocyte sedimentation rate
Humanities and Social Sciences
Laboratory tests
Leukocytes (neutrophilic)
Lymphocytes
multidisciplinary
Nucleic acids
Pneumonia
Polymerase chain reaction
Radiomics
Reactive oxygen species
Science
Science (multidisciplinary)
Support vector machines
Training
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Summary:We propose a classification method using the radiomics features of CT chest images to identify patients with coronavirus disease 2019 (COVID-19) and other pneumonias. The chest CT images of two groups of participants (90 COVID-19 patients who were confirmed as positive by nucleic acid test of RT-PCR and 90 other pneumonias patients) were collected, and the two groups of data were manually drawn to outline the region of interest (ROI) of pneumonias. The radiomics method was used to extract textural features and histogram features of the ROI and obtain a radiomics features vector from each sample. Then, we divided the data into two independent radiomic cohorts for training (70 COVID-19 patients and 70 other pneumonias patients), and validation (20 COVID-19 patients and 20 other pneumonias patients) by using support vector machine (SVM). This model used 20 rounds of tenfold cross-validation for training. Finally, single-shot testing of the final model was performed on the independent validation cohort. In the COVID-19 patients, correlation analysis (multiple comparison correction—Bonferroni correction, P 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-97497-9