MRI based radiomics enhances prediction of neurodevelopmental outcome in very preterm neonates.

ABSTRACT: To predict adverse neurodevelopmental outcome of very preterm neonates. A total of 166 preterm neonates born between 24-32 weeks' gestation underwent brain MRI early in life. Radiomics features were extracted from T1- and T2- weighted images. Motor, cognitive, and language outcomes were assessed at a corrected age of 18 and 33 months and 4.5 years. Elastic Net was implemented to select the clinical and radiomic features that best predicted outcome. The area under the receiver operating characteristic (AUROC) curve was used to determine the predictive ability of each feature set. Clinical variables predicted cognitive outcome at 18 months with AUROC 0.76 and motor outcome at 4.5 years with AUROC 0.78. T1-radiomics features showed better prediction than T2-radiomics on the total motor outcom

SUBMITTER: Wagner MW 

PROVIDER: S-EPMC9279296 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature