Imaging 2-hydroxyglutarate and other brain oncometabolites pertinent to critical genomic alterations in brain tumors

Thomas, Teena; Thakur, Sunitha B.; Young, Robert J.

doi:10.1259/bjro.20210070

Cited by 1 publication

(1 citation statement)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Magnetic resonance spectroscopy (MRS) can detect IDH mutations in gliomas with high specificity by identifying the presence of 2-hydroxyglutarate (2HG). [39][40][41] This may be particularly useful in areas with limited access to nextgeneration testing for full IDH profiling or for tumors in difficult-to-access locations such as the brainstem. Despite its potential, the routine clinical application of 2HG detection via MRS is hindered by a multitude of technical factors.…”

Section: Functional Imaging: Perfusion-weighted Imaging (Pwi) Mri Spe...mentioning

confidence: 99%

Advances in diffuse glial tumors diagnosis

Godoy,

Paes,

Ayres

et al. 2023

Arq Neuropsiquiatr

Self Cite

View full text Add to dashboard Cite

In recent decades, there have been significant advances in the diagnosis of diffuse gliomas, driven by the integration of novel technologies. These advancements have deepened our understanding of tumor oncogenesis, enabling a more refined stratification of the biological behavior of these neoplasms. This progress culminated in the fifth edition of the WHO classification of central nervous system (CNS) tumors in 2021. This comprehensive review article aims to elucidate these advances within a multidisciplinary framework, contextualized within the backdrop of the new classification. This article will explore morphologic pathology and molecular/genetics techniques (immunohistochemistry, genetic sequencing, and methylation profiling), which are pivotal in diagnosis, besides the correlation of structural neuroimaging radiophenotypes to pathology and genetics. It briefly reviews the usefulness of tractography and functional neuroimaging in surgical planning. Additionally, the article addresses the value of other functional imaging techniques such as perfusion MRI, spectroscopy, and nuclear medicine in distinguishing tumor progression from treatment-related changes. Furthermore, it discusses the advantages of evolving diagnostic techniques in classifying these tumors, as well as their limitations in terms of availability and utilization. Moreover, the expanding domains of data processing, artificial intelligence, radiomics, and radiogenomics hold great promise and may soon exert a substantial influence on glioma diagnosis. These innovative technologies have the potential to revolutionize our approach to these tumors. Ultimately, this review underscores the fundamental importance of multidisciplinary collaboration in employing recent diagnostic advancements, thereby hoping to translate them into improved quality of life and extended survival for glioma patients.

show abstract

Section: Functional Imaging: Perfusion-weighted Imaging (Pwi) Mri Spe...mentioning

confidence: 99%