Implications of Prevalence CT scan Findings on Future Lung Cancer Risk
Principal Investigator
Name
david wilson
Degrees
MD,MPH
Institution
University of Pittsburgh
Position Title
Assoc Professor
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-5
Initial CDAS Request Approval
Dec 10, 2012
Title
Implications of Prevalence CT scan Findings on Future Lung Cancer Risk
Summary
In followup to our presentation at the upcoming American Thoracic Society meeting next month, titled “Implications Of A Normal Initial Computed Tomography (CT) Scan For Lung Cancer Screening”, we are working on revising the lung cancer risk predictive formula we developed from PLuSS (see Wilson et al., AJRCCM 2008;178:738-744) & want to test it with some numbers from NLST. We are specifically interested in the number of lung cancers diagnosed within 3 yrs of the T0 CT for subjects who had no nodule, nodule < 5 mm, nodule 5 - 8 mm and nodule 9 - 12 mm on the T0 scan?
Note, this project was previously approved for LSS (ID # <a href="/cdas/nlst/pubs_projects/project/507/">201205-0012</a>).
Note, this project was previously approved for LSS (ID # <a href="/cdas/nlst/pubs_projects/project/507/">201205-0012</a>).
Aims
1) Develop a lung cancer risk prediction formula incorporating usual demographic information and results of prevalence LDCT in a lung cancer screening eligible population using the Pittsburgh Lung Screening Study (PLuSS), NLST & ACRIN databases
Collaborators
Joel Weissfeld MD
Related Publications
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A simple model for predicting lung cancer occurrence in a lung cancer screening program: The Pittsburgh Predictor.
Wilson DO, Weissfeld J
Lung Cancer. 2015 Mar; Volume [Epub ahead of print]: Pages [Epub ahead of print] PUBMED