Profiles of survival prediction in glioblastoma
Our regression trees show that clinical factors and volumetric compartments play a significant role in predicting survival in glioblastoma patients. While linear correlations of volumetric parameters and survival may not clearly be identified, a multifactorial individualized approach to surgical management has the potential to benefit patients and facilitate individual treatment decisions.
Authors
- Ina Moritz (ORCID: https://orcid.org/0000-0002-4103-603X)
- Cristina Utrilla (ORCID: https://orcid.org/0000-0001-8516-8328)
- Peter Vajkoczy (ORCID: https://orcid.org/0000-0003-4350-392X)
- Martin Misch (ORCID: https://orcid.org/0000-0001-5283-5753)
- Catalina Vivancos Sánchez (ORCID: https://orcid.org/0000-0002-6230-9287)
- Franziska Loebel (ORCID: https://orcid.org/0000-0002-3986-9243)
- Maria L. Gandía-González (ORCID: https://orcid.org/0000-0002-5683-1300)
- Mario Taravilla Loma
- L. Álvarez (ORCID: https://orcid.org/0009-0007-6469-4346)
- Alberto Isla Guerrero
- Víctor Rodríguez-Domínguez
Institutions
- Consejo Superior de Investigaciones Científicas (ES)
- Hospital Universitario La Paz (ES)
- Unidades Centrales Científico-Técnicas (ES)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Brain and Spine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.bas.2025.104324
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00