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Principal Investigator
Name
Chao Lang
Degrees
Ph.D
Institution
Qingdao Central Hospital
Position Title
researcher
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
NLST-1085
Initial CDAS Request Approval
Jun 7, 2023
Title
Lung Cancer Risk Research
Summary
Low-dose computed tomography (LDCT) for lung cancer screening is effective, although most eligible people are not being screened. Tools that provide personalized future cancer risk assessment could focus approaches toward those most likely to benefit. Hypothesized that a deep learning model assessing the entire volumetric LDCT data could be built to predict individual risk without requiring additional demographic or clinical data. This work will evaluate the model using the National Lung Screen Trial (NLST) database.
Aims

1、Predict an individual’s future lung cancer risk.
2、Accelerated lung cancer screening.

Collaborators

no other collaborators