Prediction of H3K27M alteration in midline gliomas of the brain using radiomics: A multi-institute study.

ABSTRACT:

Background

Noninvasive prediction of H3K27M-altered Diffuse midline gliomas is important because of the involvement of deep locations and proximity to eloquent structures. We aim to predict H3K27M alteration in midline gliomas using radiomics features of T2W images.

Methods

Radiomics features extracted from 124 subjects (69 H3K27M-altered/55 H3K27M-wild type). T2W images were resampled to 1 × 1 × 1mm³ voxel size, preprocessed, and normalized for artifact correction, intensity variations. The feature set was normalized and subjected to reduction by variance thresholding, correlation coefficient thresholding, and sequential feature selector. Adaptive synthesis oversampling technique was used to oversample the training data. Random forest classifier (RFC), Decision t

SUBMITTER: Indoria A 

PROVIDER: S-EPMC11600333 | biostudies-literature | 2024 Jan-Dec

REPOSITORIES: biostudies-literature