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Conventional MRI features can predict the molecular subtype of adult grade 2–3 intracranial diffuse gliomas by Arian Lasocki; Michael E. Buckland; Katharine J. Drummond; Heng Wei; Jing Xie; Michael Christie; Andrew Neal; Frank Gaillard is a Medicine article available to read on EtoBox.
What is Conventional MRI features can predict the molecular subtype of adult grade 2–3 intracranial diffuse gliomas about?
## Abstract ## Purpose Molecular biomarkers are important for classifying intracranial gliomas, prompting research into correlating imaging with genotype (“radiogenomics”). A limitation of the existing radiogenomics literature is the paucity of studies specifically characterizing grade 2–3 gliomas into the three key molecular subtypes. Our study investigated the accuracy of multiple different conventional MRI features for genotype prediction. ## Methods Grade 2–3 gliomas diagnosed between 2007 and 2013 were identified. Two neuroradiologists independently assessed nine conventional MRI features. Features with better inter-observer agreement (κ ≥ 0.6) proceeded to consensus assessment. MRI features were correlated with genotype, classified as IDH-mutant and 1p/19q-codeleted (IDH^mut^/1p19q^codel^), IDH-mutant and 1p/19q-intact (IDH^mut^/1p19q^int^), or IDH-wildtype (IDH^wt^). For IDH^wt^ tumors, additional molecular markers of glioblastoma were noted. ## Results One hundred nineteen patients were included. T2-FLAIR mismatch (stratified as > 50%, 25–50%, or < 25%) was the most predictive feature across genotypes (p 50% mismatch were IDH^mut^/1p19q^int^, and all seven with 25–50% mis
Who reads Conventional MRI features can predict the molecular subtype of adult grade 2–3 intracranial diffuse gliomas?
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- Author
- Arian Lasocki; Michael E. Buckland; Katharine J. Drummond; Heng Wei; Jing Xie; Michael Christie; Andrew Neal; Frank Gaillard
- Publisher
- Springer Science and Business Media LLC
- Published
- 2022
- Language
- EN
- Field
- Medicine (Health Sciences)