Differential Radiomics‐Based Signature Predicts Lung Cancer Risk Accounting for Imaging Parameters in NLST Cohort
Leyla Ebrahimpour,
Philippe Després,
Venkata S. K. Manem
Abstract:ObjectiveLung cancer remains the leading cause of cancer‐related mortality worldwide, with most cases diagnosed at advanced stages. Hence, there is a need to develop effective predictive models for early detection. This study aims to investigate the impact of imaging parameters and delta radiomic features from temporal scans on lung cancer risk prediction.MethodsUsing the National Lung Screening Trial (NLST) within a nested case–control study involving 462 positive screenings, radiomic features were extracted … Show more
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