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BMC Medical Imaging
Published in: BMC Medical Imaging 1/2021

Open Access 01-12-2021 | Computed Tomography | Research

CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia

Authors: Yilong Huang, Zhenguang Zhang, Siyun Liu, Xiang Li, Yunhui Yang, Jiyao Ma, Zhipeng Li, Jialong Zhou, Yuanming Jiang, Bo He

Published in: BMC Medical Imaging | Issue 1/2021

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Abstract

Background

In this COVID-19 pandemic, the differential diagnosis of viral pneumonia is still challenging. We aimed to assess the classification performance of computed tomography (CT)-based CT signs and radiomics features for discriminating COVID-19 and influenza pneumonia.

Methods

A total of 154 patients with confirmed viral pneumonia (COVID-19: 89 cases, influenza pneumonia: 65 cases) were collected retrospectively in this study. Pneumonia signs and radiomics features were extracted from the initial unenhanced chest CT images to build independent and combined models. The predictive performance of the radiomics model, CT sign model, the combined model was constructed based on the whole dataset and internally invalidated by using 1000-times bootstrap. Diagnostic performance of the models was assessed via receiver operating characteristic (ROC) analysis.

Results

The combined models consisted of 4 significant CT signs and 7 selected features and demonstrated better discrimination performance between COVID-19 and influenza pneumonia than the single radiomics model. For the radiomics model, the area under the ROC curve (AUC) was 0.888 (sensitivity, 86.5%; specificity, 78.4%; accuracy, 83.1%), and the AUC was 0.906 (sensitivity, 86.5%; specificity, 81.5%; accuracy, 84.4%) in the CT signs model. After combining CT signs and radiomics features, AUC of the combined model was 0.959 (sensitivity, 89.9%; specificity, 90.7%; accuracy, 90.3%).

Conclusions

CT-based radiomics combined with signs might be a potential method for distinguishing COVID-19 and influenza pneumonia with satisfactory performance.
Appendix
Available only for authorised users
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Metadata
Title
CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia
Authors
Yilong Huang
Zhenguang Zhang
Siyun Liu
Xiang Li
Yunhui Yang
Jiyao Ma
Zhipeng Li
Jialong Zhou
Yuanming Jiang
Bo He
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Medical Imaging / Issue 1/2021
Electronic ISSN: 1471-2342
DOI
https://doi.org/10.1186/s12880-021-00564-w

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