Predictive modeling with linear machine learning can estimate glioblastoma survival in months based solely on MGMT-methylation status, age and sex
In summary, here we provide a novel approach allowing to predict GBM patient's survival in months solely based on key parameters such as age, sex and MGMT-methylation status and underscores MGMT-methylation status as key prognostic factor for GBM patients survival.
Authors
- Emanuele Maragno
- Sönke Hellwig
- Sarah Ricchizzi
- Nils R. Winter (ORCID: https://orcid.org/0000-0002-6241-1492)
- Tim Hahn (ORCID: https://orcid.org/0000-0001-6541-3795)
- Walter Stummer (ORCID: https://orcid.org/0000-0002-3460-0640)
- Markus Holling (ORCID: https://orcid.org/0000-0002-2167-0789)
Institutions
- University of Münster (DE)
- University Hospital Münster (DE)
Publication Details
- Journal
- Acta Neurochirurgica
- Published
- 2025-02-24
- DOI
- https://doi.org/10.1007/s00701-025-06441-7
- Citations
- 2
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.25