Sociodemographic factors predict outcomes and reveal spatial tumor patterns in glioblastoma
The current work demonstrates the utility of machine learning to predict functional outcomes in GBM patients prior to treatment using lifestyle and sociodemographic factors. Our results suggest that socioeconomic factors, age, tobacco use, and biological sex can be reliable predictors of functional outcomes. Incorporating these factors could improve therapeutic approaches tailored to individual patients.
Authors
- Omar H. Butt (ORCID: https://orcid.org/0000-0003-2252-3673)
- Abraham Z. Snyder (ORCID: https://orcid.org/0000-0002-3379-9627)
- Albert H. Kim (ORCID: https://orcid.org/0000-0002-1751-8493)
- Ki Yun Park (ORCID: https://orcid.org/0000-0003-2413-9421)
- Patrick H. Luckett (ORCID: https://orcid.org/0000-0003-2262-6605)
- Bidhan Lamichhane (ORCID: https://orcid.org/0000-0001-7655-4681)
- Joshua S. Shimony (ORCID: https://orcid.org/0000-0002-6228-776X)
- Peter Yang (ORCID: https://orcid.org/0000-0002-2118-7105)
- Donna L. Dierker (ORCID: https://orcid.org/0000-0001-9791-8384)
- Milan G. Chheda (ORCID: https://orcid.org/0000-0001-8282-9098)
- Michael Olufawo (ORCID: https://orcid.org/0009-0006-7214-0207)
- Gabriel Trevino Verastegui
- John J. Lee (ORCID: https://orcid.org/0000-0003-2269-6267)
- Eric C Leuthardt (ORCID: https://orcid.org/0000-0002-0267-7862)
- Noah Naddaff-Slocum
Institutions
- Washington University in St. Louis (US)
- University of Missouri–St. Louis (US)
- Neurotech (United States) (US)
- Mallinckrodt (United States) (US)
- Adaptive Biotechnologies (United States) (US)
- Hope Center for Neurological Disorders (US)
- Center for Innovation (US)
- Neurological Surgery (US)
- Oklahoma State University Center for Health Sciences (US)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/noajnl/vdaf137
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Cancer Institute