Overall survival prediction for high-grade glioma patients using mathematical modeling of tumor cell infiltration
W Häger, I Toma-Dașu, M Astaraki, M Lazzeroni - Physica Medica, 2023 - Elsevier
Purpose This study aimed at applying a mathematical framework for the prediction of high-
grade gliomas (HGGs) cell invasion into normal tissues for guiding the clinical target …
grade gliomas (HGGs) cell invasion into normal tissues for guiding the clinical target …
[HTML][HTML] Radiomics and deep learning models for glioblastoma treatment outcome prediction based on tumor invasion modeling
Purpose We investigate the feasibility of using a biophysically guided approach for
delineating the Clinical Target Volume (CTV) in Glioblastoma Multiforme (GBM) by …
delineating the Clinical Target Volume (CTV) in Glioblastoma Multiforme (GBM) by …
Toward image-based personalization of glioblastoma therapy: A clinical and biological validation study of a novel, deep learning-driven tumor growth model
Background The diffuse growth pattern of glioblastoma is one of the main challenges for
accurate treatment. Computational tumor growth modeling has emerged as a promising tool …
accurate treatment. Computational tumor growth modeling has emerged as a promising tool …
Modeling the propagation of tumor fronts with shortest path and diffusion models—implications for the definition of the clinical target volume
T Bortfeld, G Buti - Physics in Medicine & Biology, 2022 - iopscience.iop.org
Objective. The overarching objective is to make the definition of the clinical target volume
(CTV) in radiation oncology less subjective and more scientifically based. The specific …
(CTV) in radiation oncology less subjective and more scientifically based. The specific …
[PDF][PDF] Towards Image-Based Personalization of Glioblastoma Therapy A Clinical and Biological Validation Study of a Novel, Deep Learning-Driven Tumor Growth …
Background The diffuse growth pattern of glioblastoma is one of the main challenges for
improving patient survival. Computational tumor growth modeling has emerged as a …
improving patient survival. Computational tumor growth modeling has emerged as a …
[引用][C] 1119: Radiomics and deep learning for glioma treatment outcome prediction based on tumor invasion modeling
M Astaraki, W Häger, M Lazzeroni… - Radiotherapy and …, 2024 - Elsevier