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The natural history and screen-detectability of lung cancer: estimates from NLST and the PLCO

Principal Investigator
Name
Kevin ten Haaf
Degrees
MSc
Institution
Erasmus MC
Position Title
Junior researcher
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-38
Initial CDAS Request Approval
Jun 21, 2013
Title
The natural history and screen-detectability of lung cancer: estimates from NLST and the PLCO
Summary
Implementing effective lung cancer screening programs requires extensive knowledge on the natural history of lung cancer and the sensitivity of the proposed screening modality. Data from the National Lung Cancer Screening Trial (NLST), the Prostate, Lung, Colon and Ovarian Cancer Study (PLCO) and Surveillance Epidemiology and End Result (SEER) data from 2004-2008 are used to investigate the screening sensitivity (by stage and histological type) of Computed Tomography (CT) and chest radiography (CXR) and the mean preclinical sojourn time (MPST) of lung cancer (by gender, stage and histological type).

The model used in this investigation is the MISCAN-Lung model, which was developed within the Cancer Intervention and Surveilance Modeling Network (CISNET). This model has been calibrated to both NLST and PLCO data within the CISNET/NLST/PLCO cooperative project.This paper aims to provide more details on the natural history and screening parameters estimated during the calibration.
Aims

1: To expand the knowledge on the natural history of lung cancer (by stage, histological type and gender) and the sensitivity of both CT and chest radiography (by stage and histological type)

2: To provide more insights in the workings of MISCAN-Lung

Collaborators

Harry J. de Koning (Erasmus MC)
Joost van Rosmalen (Erasmus MC)

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