A Radiomic "Warning Sign" of Progression on Brain MRI in Individuals with MS.

ABSTRACT:

Background and purpose

MS is a chronic progressive, idiopathic, demyelinating disorder whose diagnosis is contingent on the interpretation of MR imaging. New MR imaging lesions are an early biomarker of disease progression. We aimed to evaluate a machine learning model based on radiomics features in predicting progression on MR imaging of the brain in individuals with MS.

Materials and methods

This retrospective cohort study with external validation on open-access data obtained full ethics approval. Longitudinal MR imaging data for patients with MS were collected and processed for machine learning. Radiomics features were extracted at the future location of a new lesion in the patients' prior MR imaging ("prelesion"). Additionally, "control" samples were obtained from the no

SUBMITTER: Kelly BS 

PROVIDER: S-EPMC11285987 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature