<i>IDH</i>Status in Brain Gliomas Can Be Predicted by the Spherical Mean MRI Technique
Our study highlights the potential of SMT for noninvasive characterization of adult-type diffuse gliomas, with a potential to predict <i>IDH</i> status and tumor grade more accurately than traditional ADC metrics. SMT offers a promising addition to the current diagnostic toolkit, enabling more precise preoperative assessments and contributing to personalized treatment planning.
Authors
- Dora Konečná
- David Netuka (ORCID: https://orcid.org/0000-0001-8609-4789)
- T. Belšán (ORCID: https://orcid.org/0000-0003-1808-9704)
- Vojtěch Sedlák (ORCID: https://orcid.org/0000-0001-7031-9680)
- Tomáš Moravec
- Adéla Bubeníková
- Love Engström Nordin (ORCID: https://orcid.org/0000-0002-9685-8583)
- Martin Májovský (ORCID: https://orcid.org/0000-0001-7725-5181)
- Milan Němý (ORCID: https://orcid.org/0000-0002-4870-1354)
- Eric Westman (ORCID: https://orcid.org/0000-0002-3115-2977)
- Jana Engelová
- Dalibor Sila
Institutions
- Karolinska University Hospital (SE)
- Infineon Technologies (Germany) (DE)
- Wellcome Centre for Human Neuroimaging (GB)
- King's College London (GB)
- Charles University (CZ)
- Karolinska Institutet (SE)
- Proton Therapy Centre (CZ)
- Military University Hospital Prague (CZ)
- Czech Technical University in Prague (CZ)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2024-12-20
- DOI
- https://doi.org/10.3174/ajnr.a8432
- Citations
- 2
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Univerzita Karlova v Praze
- Grantová Agentura, Univerzita Karlova
- České Vysoké Učení Technické v Praze
- Karolinska Institutet
- Ministry of Defense