Remote assessment of cognition and quality of life following radiotherapy for glioma: deep-learning-based predictive models and MRI correlates

This study assesses the impact of radiotherapy on cognitive functions and quality of life in glioma patients using remote assessments. The researchers also examined how brain volume changes and radiation dosage correlate with cognitive performance. Deep learning models were used to predict cognitive impairment following radiotherapy, potentially aiding in early identification and treatment interventions.

• 1
  Cognitive assessments were highly inter-correlated, and impairment was shown between pre- and post-RT findings.
• 2
  Brain volume atrophy was shown post-RT, and cognitive impairments were correlated with radiotherapy-associated volume atrophy and dose-dependent in specific brain regions.
• 3
  Deep neural networks showed good accuracy in predicting cognitive decline based on remote cognitive assessments.