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Developing a classifier of smoking history from chest x-ray images

Principal Investigator
Name
Hormuzd Katki
Degrees
Ph.D.
Institution
NCI/DCEG
Position Title
Senior Investigator
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCOI-514
Initial CDAS Request Approval
Aug 20, 2019
Title
Developing a classifier of smoking history from chest x-ray images
Summary
Smoking history is subjectively reported. To help provide an objective biomarker of smoking history, we propose to develop a classifier for smoking history from PLCO chest x-ray images. The classifier could have a stronger association with lung cancer than reported smoking history, in which case it may be useful in risk prediction models.
Aims

* Develop deep-learning-based classifier for aspects of smoking history (duration, intensity, quit-years, pack-years) by splitting data into training/validation/test sets
* Assess the accuracy of the predictions
* Include predictions as covariates into a risk-prediction tool, such as the Lung Cancer Risk Assessment Tool and see if it adds to, or replaces, reported smoking history

Collaborators

Martin Skarzynski, NCI/DCEG
Jonas de Almeida, NCI/DCEG
Anil Chaturvedi, NCI/DCEG
Li Cheung, NCI/DCEG
Rebecca Landy, NCI/DCEG