Machine learning based contrast-enhancement and IDH status prediction of gliomas using 7T MR spectroscopic imaging
Motivation: IDH-mutant diffuse adult type gliomas almost invariably lead to fatality. The INDIGO trial found vorasidenib significantly improving progression-free survival in non-contrast enhancing IDH mutant CNS grade 2 glioma patients. Goal(s): The purpose of this study was to non-invasively predict both contrast enhancement and IDH mutation in glioma patients. Approach: We employed a machine learning approach on 7T MRSI data to forecast IDH mutation status and contrast-enhancing tumor tissue in adult diffuse gliomas. Results: Our models performed well in the training and the testing set (AUC ≥ 0.8) for both, IDH mutation and contrast enhancement prediction. Impact: With regard to emerging IDH inhibition therapies in IDH mutant non-contrast enhancing diffuse gliomas, non-invasive prediction of IDH mutation status and contrast enhancement are of utmost importance for glioma patients. 7T MRSI can be successfully applied to this task.
Authors
- Cornelius Cadrien (ORCID: https://orcid.org/0000-0002-0341-2209)
- Geevarghese George (ORCID: https://orcid.org/0000-0002-4332-0595)
- Olgica Zaric (ORCID: https://orcid.org/0000-0003-4577-3392)
- Wolfgang Bogner (ORCID: https://orcid.org/0000-0002-0130-3463)
- Julia Furtner (ORCID: https://orcid.org/0000-0001-8258-3681)
- Thomas Rötzer-Pejrimovsky
- Amirreza Mahbod (ORCID: https://orcid.org/0000-0001-5042-1442)
- Gilbert Hangel (ORCID: https://orcid.org/0000-0002-3986-3159)
- Matthias Preusser (ORCID: https://orcid.org/0000-0003-3541-2315)
- Florian Schwarzhans (ORCID: https://orcid.org/0000-0002-1413-4574)
- Georg Widhalm (ORCID: https://orcid.org/0000-0001-6014-0273)
- Ramona Woitek (ORCID: https://orcid.org/0000-0002-9146-9159)
- Karl Rössler (ORCID: https://orcid.org/0000-0002-9249-8082)
- S. Trattnig
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/3694
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00