A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas.

ABSTRACT:

Background

One of the most important recent discoveries in brain glioma biology has been the identification of the isocitrate dehydrogenase (IDH) mutation and 1p/19q co-deletion status as markers for therapy and prognosis. 1p/19q co-deletion is the defining genomic marker for oligodendrogliomas and confers a better prognosis and treatment response than gliomas without it. Our group has previously developed a highly accurate deep-learning network for determining IDH mutation status using T2-weighted (T2w) MRI only. The purpose of this study was to develop a similar 1p/19q deep-learning classification network.

Methods

Multiparametric brain MRI and corresponding genomic information were obtained for 368 subjects from The Cancer Imaging Archive and The Cancer Genome Atlas. 1p/19

SUBMITTER: Yogananda CGB 

PROVIDER: S-EPMC7367418 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature