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.
 
SELECTED
LANGUAGE


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.
 

View Conference Coverage
Online CME Activities
TitleExpiration DateCME Credits
Medical Crossfire®: How to Use Liquid Biopsies Throughout the Lung Cancer Treatment Continuum OnlineJan 31, 20191.5
Community Practice Connections™: Current Status and the Future Potential of CAR T-Cell Therapy for Lymphoid Malignancies: The Experts Weigh-In on Recent Data and Clinical ExperienceJan 31, 20192.0
Publication Bottom Border
Border Publication
x