Journal
NEURORADIOLOGY
Volume 63, Issue 3, Pages 353-362Publisher
SPRINGER
DOI: 10.1007/s00234-020-02532-7
Keywords
Glioma; Glioblastoma; Magnetic resonance imaging; Radiogenomics; Imaging genomics
Funding
- Peter MacCallum Cancer Foundation Discovery Partner Fellowship
- University College London/UCL Hospitals National Institute of Health Research Biomedical Research Centre
Ask authors/readers for more resources
This study synthesized current research on the accuracy of using standard clinical MRI for diffuse glioma genotyping, focusing on IDH and 1p19q status. The results indicate that conventional MRI is valuable for predicting these molecular markers, particularly in lower grade gliomas. However, the reproducibility of visually assessed features remains uncertain due to limited interobserver testing.
Purpose Molecular parameters have become integral to glioma diagnosis. Much of radiogenomics research has focused on the use of advanced MRI techniques, but conventional MRI sequences remain the mainstay of clinical assessments. The aim of this research was to synthesize the current published data on the accuracy of standard clinical MRI for diffuse glioma genotyping, specifically targeting IDH and 1p19q status. Methods A systematic search was performed in September 2019 using PubMed and the Cochrane Library, identifying studies on the diagnostic value of T1 pre-/post-contrast, T2, FLAIR, T2*/SWI and/or 3-directional diffusion-weighted imaging sequences for the prediction of IDH and/or 1p19q status in WHO grade II-IV diffuse astrocytic and oligodendroglial tumours as defined in the WHO 2016 Classification of CNS Tumours. Results Forty-four studies including a total of 5286 patients fulfilled the inclusion criteria. Correlations between key glioma molecular markers, namely IDH and 1p19q, and distinctive MRI findings have been established, including tumour location, signal composition (including the T2-FLAIR mismatch sign) and apparent diffusion coefficient values. Conclusion Consistent trends have emerged indicating that conventional MRI is valuable for glioma genotyping, particularly in presumed lower grade glioma. However, due to limited interobserver testing, the reproducibility of qualitatively assessed visual features remains an area of uncertainty.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available