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Diagnostic and Therapeutic Issues in Glioma Using Imaging Data: The Challenge of Numerical Twinning.

Rémy GuillevinMathieu NaudinPierre FayolleClément GiraudXavier Maximin Le Guillou HornClément ThomasGuillaume HerpeAlain MiranvilleChristine Fernandez-MaloigneLuc PellerinCarole Guillevin
Published in: Journal of clinical medicine (2023)
Glial tumors represent the leading etiology of primary brain tumors. Their particularities lie in (i) their location in a highly functional organ that is difficult to access surgically, including for biopsy, and (ii) their rapid, anisotropic mode of extension, notably via the fiber bundles of the white matter, which further limits the possibilities of resection. The use of mathematical tools enables the development of numerical models representative of the oncotype, genotype, evolution, and therapeutic response of lesions. The significant development of digital technologies linked to high-resolution NMR exploration, coupled with the possibilities offered by AI, means that we can envisage the creation of digital twins of tumors and their host organs, thus reducing the use of physical sampling.
Keyphrases
  • high resolution
  • white matter
  • artificial intelligence
  • electronic health record
  • cross sectional
  • machine learning
  • photodynamic therapy
  • data analysis
  • preterm birth