Assessment of the association between the participant characteristics and CT images on low dose chest CT
Principal Investigator
Name
Shouliang Qi
Degrees
Ph.D.
Institution
Northeastern University
Position Title
Professor
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-850
Initial CDAS Request Approval
Nov 5, 2021
Title
Assessment of the association between the participant characteristics and CT images on low dose chest CT
Summary
Lung cancer is the first leading death cause in the world. The screening in high-risk patients is indispensable. Following NLST trials, lung cancer screening projects for high-risk patients are underway in many countries. Lung-RADS, a standardized reporting format, is recommended and used for lung cancer screening. Therefore, we aimed to investigate the association between the lung cancer risk in participant characteristics and CT images on low-dose CT.
Aims
Aim 1: Investigate the association of participant characteristics and CT images in lung cancer.
Aim 2: Measure the CT images using some indicators to predict the lung cancer prevalence in participant.
Collaborators
Yanan Wu, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
Haowen Pang, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China