EP01.05-010 Using a Pattern Submodel Approach to Predict Lung Cancer in High-Risk Lung Nodule Clinics

Appropriate risk-stratification of indeterminate pulmonary nodules (IPN) is necessary to direct diagnostic evaluation. Validated models for high-risk IPN are poorly calibrated and do not allow for missing data in clinical use. We sought to expand the Thoracic Research Evaluation and Treatment (TREAT) model into a more generalized, robust model for lung cancer prediction, the TREAT 2.0. A prior version of this abstract,