The Design Behind the Development of a Novel-Risk Prediction Model in Lung Cancer Screening

Joshua Roth, PhD
Published: Monday, Jun 05, 2017



Joshua Roth, PhD, assistant member, Fred Hutchinson Cancer Research Center, discusses the design of a novel risk-prediction algorithm in the context of screening patients for lung cancer.

The database analysis used SEER data, which provided detailed information regarding patients with early stage non-small cell lung cancer (NSCLC). Looking at different factors, researchers investigated the likelihood of death within 30 days of surgery.

This data was then fed back to the screening process and can be a part of the conversation between the patient and physician as they discuss treatment options, explains Roth.
 


Joshua Roth, PhD, assistant member, Fred Hutchinson Cancer Research Center, discusses the design of a novel risk-prediction algorithm in the context of screening patients for lung cancer.

The database analysis used SEER data, which provided detailed information regarding patients with early stage non-small cell lung cancer (NSCLC). Looking at different factors, researchers investigated the likelihood of death within 30 days of surgery.

This data was then fed back to the screening process and can be a part of the conversation between the patient and physician as they discuss treatment options, explains Roth.
 

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