Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms

Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms

Among brain tumors, glioblastoma (GBM) is the most common and the most aggressive type, and brain metastases (BMs) occur in 20%–40% of cancer patients. Even with intensive treatment involving radiotherapy and surgery, which frequently leads to cognitive decline due to doses on healthy brain tissue,...

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Bibliographic Details
Main Authors: Noémie N. Moreau, Samuel Valable, Cyril Jaudet, Loïse Dessoude, Leleu Thomas, Romain Hérault, Romain Modzelewski, Dinu Stefan, Juliette Thariat, Alexis Lechervy, Aurélien Corroyer-Dulmont
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Oncology
Subjects:
Glioblastoma (GBM)
machine learning (ML)
brain tumors
artificial intelligence
treatment efficacy
medical imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1497195/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1497195/full

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