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Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas.

Maryamalsadat MahootihaDivyanshu TakZezhong YeAnna ZapaishchykovaJirapat LikitlersuangJuan Carlos Climent PardoAidan BoydSridhar VajapeyamRishi ChopraSanjay P PrabhuKevin X LiuHesham ElhalawaniAli NabavizadehAriana FamiliarSabine MuellerHugo J W L AertsPratiti BandopadhayayKeith L LigonDaphne A Haas-KoganTina Y PoussaintHemin Ali QadirIlangko BalasinghamBenjamin H Kann
Published in: Neuro-oncology (2024)
DL extracts imaging features that can inform postoperative recurrence prediction for pLGG. Multimodal DL improves postoperative risk stratification for pLGG and may guide postoperative decision-making. Larger, multicenter training data may be needed to improve model generalizability.
Keyphrases
  • low grade
  • high grade
  • patients undergoing
  • deep learning
  • decision making
  • pain management
  • high resolution
  • free survival
  • electronic health record
  • artificial intelligence
  • machine learning
  • photodynamic therapy