CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction.

ABSTRACT:

Summary

Background

Development and validation of a quantitative radiomic risk score (QuRiS) and associated nomogram (QuRNom) for early-stage non-small cell lung cancer (ES-NSCLC) that is prognostic of disease-free survival (DFS) and predictive of the added benefit of adjuvant chemotherapy (ACT) following surgery.

Methods

QuRiS was developed using radiomic texture features derived from within and outside the primary lung nodule on chest CT scans using a cohort D₁ of 329 patients from the Cleveland Clinic. A LASSO-Cox regularization model was used for data dimension reduction, feature selection, and QuRiS construction. QuRiS was independently validated on D₂(N=114; University of Pennsylvania) and D₃(N=82; TCIA). QuRNom was constructed b

SUBMITTER: Vaidya P 

PROVIDER: S-EPMC7051021 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature