Skip to Main Content

An official website of the United States government

Government Funding Lapse

Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit  cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.

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