Study
NLST
(Learn more about this study)
Project ID
NLST-1275
Initial CDAS Request Approval
Jul 8, 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. In addition, we will develop a risk prediction model for competing causes of death (death from causes other than lung cancer). In addition, we will develop a standardized radiology report generator to automate the review of imaging and integrate that into the ENGAGE framework.
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
3: Develop and validate a standardized radiology report generator that will include lung cancer, other cancers (e.g., breast, liver) and incidental findings (e.g., coronary artery calcification ,emphysema, COPD)
4. Integrate the risk prediction models and radiology report generator into the ENGAGE framework
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
