Development and validation of chest CT-based imaging biomarkers for early stage COVID-19 screening.

Journal: Frontiers in public health
Published Date: Sep 21, 2022

Abstract

Coronavirus Disease 2019 (COVID-19) is currently a global pandemic, and early screening is one of the key factors for COVID-19 control and treatment. Here, we developed and validated chest CT-based imaging biomarkers for COVID-19 patient screening from two independent hospitals with 419 patients. We identified the vasculature-like signals from CT images and found that, compared to healthy and community acquired pneumonia (CAP) patients, COVID-19 patients display a significantly higher abundance of these signals. Furthermore, unsupervised feature learning led to the discovery of clinical-relevant imaging biomarkers from the vasculature-like signals for accurate and sensitive COVID-19 screening that have been double-blindly validated in an independent hospital (sensitivity: 0.941, specificity: 0.920, AUC: 0.971, accuracy 0.931, F1 score: 0.929). Our findings could open a new avenue to assist screening of COVID-19 patients.

Authors

  • Xiao-Ping Liu
    Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.
  • Xu Yang
    Department of Food Science and Technology, The Ohio State University, Columbus, OH, United States.
  • Miao Xiong
    Department of Radiology, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China.
  • Xuanyu Mao
    Department of Emergency, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Xiaoqing Jin
    Department of Emergency, Zhongnan Hospital of Wuhan University, Wuhan, China.
  • Zhiqiang Li
    The Affiliated Hospital of Qingdao University, The Biomedical Sciences Institute of Qingdao University (Qingdao Branch of SJTU Bio-X Institutes), Qingdao University, Qingdao, 266003, China.
  • Shuang Zhou
    NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing 100021, PR China. Electronic address: szhoupku@gmail.com.
  • Hang Chang
    Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States.

Keywords

External Resources

Popular Topics
Recent Journals