Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening.
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ABSTRACT: The National Lung Screening Trial (NLST) demonstrated that screening with low-dose computed tomography (LDCT) is associated with a 20% reduction in lung cancer mortality. One potential limitation of LDCT screening is overdiagnosis of slow growing and indolent cancers. In this study, peritumoral and intratumoral radiomics was used to identify a vulnerable subset of lung patients associated with poor survival outcomes. Incident lung cancer patients from the NLST were split into training and test cohorts and an external cohort of non-screen detected adenocarcinomas was used for further validation. After removing redundant and non-reproducible radiomics features, backward elimination analyses identified a single model which was subjected to Classification and Regression Tree to stratify patien
SUBMITTER: Perez-Morales J
PROVIDER: S-EPMC7324394 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
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