Development and Validation of a Radiomics Nomogram Based on ¹⁸F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography and Clinicopathological Factors to Predict the Survival Outcomes of Patients With Non-Small Cell Lung Cancer.

ABSTRACT: Purpose: In this study, we developed and validated a radiomics nomogram by combining the radiomic features extracted from ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) images and clinicopathological factors to evaluate the overall survival (OS) of patients with non-small cell lung cancer (NSCLC). Patients and Methods: A total of 315 consecutive patients with NSCLC (221 in the training cohort and 94 in the validation cohort) were enrolled in this study. A total of 840 radiomic features were extracted from the CT and PET images. Three radiomic scores (rad-scores) were calculated using the least absolute shrinkage and selection operator (LASSO) Cox regression based on subsets of CT, PET, and PET/CT radiomic feature

SUBMITTER: Yang B 

PROVIDER: S-EPMC7379864 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature