Size-Driven Simulation Model for Lung Cancer Screening
Principal Investigator
Name
Deborah Goldwasser
Degrees
PhD
Institution
Statistical Consultant
Position Title
Statistical Consultant
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-43
Initial CDAS Request Approval
Dec 3, 2013
Title
Size-Driven Simulation Model for Lung Cancer Screening
Summary
I am the sole-author of a novel mathematical methodology which allows for the estimation of a size-dependent natural history model of lung cancer from cancer registry data, such as the U.S. SEER database. We estimate the distribution of tumor sizes at which otherwise lethal lung cancers may be curable by early detection (i.e. cure threshold distribution). We have validated these results against data from the Mayo CT screening study (single-arm, 66 total lung cancers) and SEER and plan to compare the model’s predictions against data from the National Lung Screening Trial (NLST).
Aims
The specific aim of this project is to compare data from the National Lung Screening Trial (NLST) with model predictions. Such a comparison will lead to insights with regard to optimizing a CT screening regimen for the early detection of lung cancer.
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