Learning and depicting lobe-based radiomics feature for COPD Severity staging in low-dose CT images.

Journal: BMC pulmonary medicine
Published Date:

Abstract

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a prevalent and debilitating respiratory condition that imposes a significant healthcare burden worldwide. Accurate staging of COPD severity is crucial for patient management and treatment planning.

Authors

  • Meng Zhao
    School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China.
  • Yanan Wu
    School of Physics and Optoelectronic Engineering, Ludong University, Yantai, Shandong 264025, China.
  • Yifu Li
    Grado Department of Industrial and Systems Engineering (ISE), Virginia Tech, Blacksburg, Virginia, USA.
  • Xiaoyu Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Shuyue Xia
  • Jiaxuan Xu
    Faculty of Engineering and Applied Science, University of Regina, Regina, SK, S4S 0A2, Canada.
  • Rongchang Chen
    Key Laboratory of Respiratory Disease of Shenzhen, Shenzhen Institute of Respiratory Disease, Shenzhen People's Hospital (Second Affiliated Hospital of Jinan University, First Affiliated Hospital of South University of Science and Technology of China), Shenzhen, China. Electronic address: chenrc@vip.163.com.
  • Zhenyu Liang
    State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China. Electronic address: 490458234@qq.com.
  • Shouliang Qi
    Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Life Science Building, 500 Zhihui Street, Hun'nan District, Shenyang, 110169, China. qisl@bmie.neu.edu.cn.