Quantifying the post-radiation accelerated brain aging rate in glioma patients with deep learning

HIGHLIGHTS

  • who: Selena I. Huisman from the Department of OncologyDepartment of Oncology have published the article: Quantifying the post-radiation accelerated brain aging rate in glioma patients with deep learning, in the Journal: (JOURNAL) of 21/02/2022
  • what: This analysis does not take into account the prediction error, which was shown based-on the preRT scans, resulting in a biased average. The authors show that cranial RT has a remarkable effect on the brain, which the authors conceived as postradiation accelerated brain aging.
  • future: For future work BrainAGE may provide a novel way . . .

     

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