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Streamlined Intraoperative Brain Tumor Classification and Molecular Subtyping in Stereotactic Biopsies Using Stimulated Raman Histology and Deep Learning.

David ReineckeDaniel RueßAnna-Katharina MeissnerGina FürtjesNiklas von SpreckelsenAdrian Ion-MargineauFlorian KhalidTobias BlauThomas StehleAbdulkader Al-ShughriReinhard ButtnerRoland GoldbrunnerMaximilian Ingolf RugeVolker Neuschmelting
Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2024)
Artificial intelligence-based SRH image analysis is non-inferior to frozen section analysis in detecting and subclassifying brain tumors during small stereotactic-guided biopsies once a critical squeezed sample size is reached. Beyond frozen section analysis, it enables valid molecular glioma subtyping, allowing faster treatment decisions in the future; however, refinement is needed for long-term application.
Keyphrases
  • deep learning
  • artificial intelligence
  • machine learning
  • big data
  • convolutional neural network
  • small cell lung cancer
  • brain metastases
  • patients undergoing
  • single molecule