Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus Pneumonia

Frontiers in Public Health

article

Liaoyi Lin¹  Jinjin Liu¹  Qingshan Deng¹  Na Li¹  Jingye Pan²  Houzhang Sun¹  Shichao Quan³ 

[1] Department of Radiology, First Affiliated Hospital of Wenzhou Medical University;Department of Intensive Care Unit, First Affiliated Hospital of Wenzhou Medical University;Department of General Medicine, First Affiliated Hospital of Wenzhou Medical University

关键词: COVID-19;    influenza;    nomogram;    radiomics;    computed tomography;   

DOI  :  10.3389/fpubh.2021.663965

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Objectives: To develop and validate a radiomics model for distinguishing coronavirus disease 2019 (COVID-19) pneumonia from influenza virus pneumonia. Materials and Methods: A radiomics model was developed on the basis of 56 patients with COVID-19 pneumonia and 90 patients with influenza virus pneumonia in this retrospective study. Radiomics features were extracted from CT images. The radiomics features were reduced by the Max-Relevance and Min-Redundancy algorithm and the least absolute shrinkage and selection operator method. The radiomics model was built using the multivariate backward stepwise logistic regression. A nomogram of the radiomics model was established, and the decision curve showed the clinical usefulness of the radiomics nomogram. Results: The radiomics features, consisting of nine selected features, were significantly different between COVID-19 pneumonia and influenza virus pneumonia in both training and validation data sets. The receiver operator characteristic curve of the radiomics model showed good discrimination in the training sample [area under the receiver operating characteristic curve (AUC), 0.909; 95% confidence interval (CI), 0.859–0.958] and in the validation sample (AUC, 0.911; 95% CI, 0.753–1.000). The nomogram was established and had good calibration. Decision curve analysis showed that the radiomics nomogram was clinically useful. Conclusions: The radiomics model has good performance for distinguishing COVID-19 pneumonia from influenza virus pneumonia and may aid in the diagnosis of COVID-19 pneumonia.

【 授权许可】

CC BY