Microsimulation Model for Lung Cancer Screening: Calibration, Validation and Application
Principal Investigator
Name
Sylvia Plevritis
Degrees
Ph.D.
Institution
Stanford University
Position Title
Associate Professor
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-34
Initial CDAS Request Approval
Sep 9, 2013
Title
Microsimulation Model for Lung Cancer Screening: Calibration, Validation and Application
Summary
As part of Cancer Intervention and Surveillance Modeling Network (CISNET) consortium, we developed a microsimulation model to evaluate the impact of various CT screening strategies for lung cancer in the general US population. We modeled lung cancer development, progression, detection and survival; the parameters of the models were estimated using NCI SEER data. We calibrated our microsimulation model to NLST data and validated it using PLCO data. The comparative analysis conducted by the five institutions (Stanford University, Massachusetts General Hospital, University of Michigan, Fred Hutchinson Cancer Research Center, and Erasmus Medical Center) in the CISNET lung group provided resources based on which U.S. Preventive Services Task Force (USPSTF) updated their national lung screening guidelines recently.
Aims
In this separate project, we aim to conduct sensitivity analysis on the impact of the USPSTF recommended screening program in the general U.S. population varying screening compliance levels using the Stanford microsimulation model that was not previously performed in the collaborative CISNET projects. In addition, we aim to provide details of the calibration and validation methods and results of the Stanford model using NLST data that were not presented in the previous papers.
Collaborators
Summer S Han
Saadet Ayca Erdogan
Ann Leung