Multimodal MR imaging signatures to identify brain diffuse midline gliomas with H3 K27M mutation.

ABSTRACT:

Background

Conventional MR imaging has limited value in identifying H3 K27M mutations. We aimed to investigate the capacity of quantitative MR imaging variables in identifying the H3 K27M mutation status of diffuse midline glioma.

Materials and methods

Twenty-three patients with H3 K27M mutation and thirty-two wild-type patients were recruited in this retrospective study, all of whom underwent multimodal MR imaging. Clinical data and quantitative MR imaging variables were explored by subgroup analysis stratified by age (juveniles and adults). Then, a logistic model for all patients was constructed to identify potential variables for predicting K27M mutation status. Besides, a retrospective validation set including 13 patients was recruited. The C-index and F1 score were used

SUBMITTER: Su X 

PROVIDER: S-EPMC8855915 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature