Radiomics and deep learning models for glioblastoma treatment outcome prediction based on tumor invasion modeling.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PMID: 39724784

Abstract

PURPOSE: We investigate the feasibility of using a biophysically guided approach for delineating the Clinical Target Volume (CTV) in Glioblastoma Multiforme (GBM) by evaluating its impact on the treatment outcomes, specifically Overall Survival (OS) time.

Authors

  • Mehdi Astaraki
    Division of Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden. Electronic address: mehdi.astaraki@fysik.su.se.
  • Wille Häger
    Division of Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
  • Marta Lazzeroni
    Division of Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
  • Iuliana Toma-Dasu
    Division of Medical Radiation Physics, Department of Physics, Stockholm University, Stockholm, Sweden; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.

Keywords

External Resources

Popular Topics
Recent Journals