Proteomic, Glycomic and Autoantibody Markers that Complement CT Imaging for Early Lung Cancer Detection
Principal Investigator
Name
Paul Kinahan
Institution
University of Washington
Position Title
Professor and Vice-Chair for Research
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-220
Initial CDAS Request Approval
Jul 29, 2016
Title
Proteomic, Glycomic and Autoantibody Markers that Complement CT Imaging for Early Lung Cancer Detection
Summary
We are performing analysis on 250 lung cancer cases and controls with positive CT findings from the FHCRC Lung Cancer Early Detection Clinic to create a risk prediction model (i.e., a rule combining CT and clinical data).
Aims
Our specific aims are to perform validation of our multivariate analysis of CT imaging parameters to distinguish malignant from benign nodules identified on CT chest imaging.
Collaborators
Paul Lampe, PhD, Full Member, Fred Hutchinson Cancer Research Center, Seattle WA