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Development and validation of risk prediction models for lung cancer for the ENGAGE framework

Principal Investigator
Name
Iakovos Toumazis
Degrees
Ph.D.
Institution
The University of Texas MD Anderson Cancer Center
Position Title
Assistant professor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1603
Initial CDAS Request Approval
Jun 24, 2024
Title
Development and validation of risk prediction models for lung cancer for the ENGAGE framework
Summary
The objective of this research project is to expand the ENGAGE framework for lung cancer screening by integrating non-smoking related risk factors into the decision making process. The ENGAGE framework provides dynamic, risk-based, individualized lung cancer screening recommendations for persons who currently smoke or used to smoke in the past. Screening recommendations are based on a formal risk assessment of an individual's risk of developing lung cancer, his/her life expectancy, past screening history, and smoking behavior. Risk assessment is based on age, sex, and smoking history of ever-smoked individuals but omits other established risk factors such as personal and family history of cancer, COPD, and BMI, among others. We are developing new risk prediction models based on the PLCOm2012 model specifically for the ENGAGE framework to incorporate non-smoking related risk factors into ENGAGE.
Aims

1. Develop risk prediction models for lung cancer incidence and competing causes of death
2. Validate newly developed and existing risk prediction models on the NLST

Collaborators

Rafael Meza, BC Cancer
Martin Tammemagi, Brock University
Sayaka Ishizawa, The University of Texas MD Anderson Cancer Center
Seyyed M. Mousavi Janbeh Sarayi, The University of Texas MD Anderson Cancer Center
Renu Nargund, The University of Texas MD Anderson Cancer Center
Sara Nofal, The University of Texas MD Anderson Cancer Center
Maryam Eghbalizarch, The University of Texas MD Anderson Cancer Center

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