Imaging features associated with H3 K27-altered and H3 G34-mutant gliomas: a narrative systematic review
- Author(s)
- Lasocki, A; Abdalla, G; Chow, G; Thust, SC;
- Journal Title
- Cancer Imaging
- Publication Type
- Review
- Abstract
- BACKGROUND: Advances in molecular diagnostics accomplished the discovery of two malignant glioma entities harboring alterations in the H3 histone: diffuse midline glioma, H3 K27-altered and diffuse hemispheric glioma, H3 G34-mutant. Radiogenomics research, which aims to correlate tumor imaging features with genotypes, has not comprehensively examined histone-altered gliomas (HAG). The aim of this research was to synthesize the current published data on imaging features associated with HAG. METHODS: A systematic search was performed in March 2022 using PubMed and the Cochrane Library, identifying studies on the imaging features associated with H3 K27-altered and/or H3 G34-mutant gliomas. RESULTS: Forty-seven studies fulfilled the inclusion criteria, the majority on H3 K27-altered gliomas. Just under half (21/47) were case reports or short series, the remainder being diagnostic accuracy studies. Despite heterogeneous methodology, some themes emerged. In particular, enhancement of H3 K27M-altered gliomas is variable and can be less than expected given their highly malignant behavior. Low apparent diffusion coefficient values have been suggested as a biomarker of H3 K27-alteration, but high values do not exclude this genotype. Promising correlations between high relative cerebral blood volume values and H3 K27-alteration require further validation. Limited data on H3 G34-mutant gliomas suggest some morphologic overlap with 1p/19q-codeleted oligodendrogliomas. CONCLUSIONS: The existing data are limited, especially for H3 G34-mutant gliomas and artificial intelligence techniques. Current evidence indicates that imaging-based predictions of HAG are insufficient to replace histological assessment. In particular, H3 K27-altered gliomas should be considered when occurring in typical midline locations irrespective of enhancement characteristics.
- Keywords
- Humans; Artificial Intelligence; *Brain Neoplasms/diagnostic imaging/genetics/pathology; *Glioma/diagnostic imaging/genetics; Histones/genetics; Mutation; H3 G34-mutant glioma; H3 K27M-altered glioma; Magnetic resonance imaging; Radiogenomics
- Department(s)
- Cancer Imaging
- PubMed ID
- 36397143
- Publisher's Version
- https://doi.org/10.1186/s40644-022-00500-3
- Open Access at Publisher's Site
https://doi.org/10.1186/s40644-022-00500-3- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2025-01-09 06:52:46
Last Modified: 2025-01-09 06:54:51