Volume doubling time and radiomic features predict tumor behavior of screen-detected lung cancers.

ABSTRACT:

Background

Image-based biomarkers could have translational implications by characterizing tumor behavior of lung cancers diagnosed during lung cancer screening. In this study, peritumoral and intratumoral radiomics and volume doubling time (VDT) were used to identify high-risk subsets of lung patients diagnosed in lung cancer screening that are associated with poor survival outcomes.

Methods

Data and images were acquired from the National Lung Screening Trial. VDT was calculated between two consequent screening intervals approximately 1 year apart; peritumoral and intratumoral radiomics were extracted from the baseline screen. Overall survival (OS) was the main endpoint. Classification and Regression Tree analyses identified the most predictive covariates to classify patient

SUBMITTER: Perez-Morales J 

PROVIDER: S-EPMC9310661 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature