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Tumor habitat and peritumoral region evolution-based imaging features to assess risk categorization of thymomas.

W LiuW WangM GuoH Zhang
Published in: Clinical radiology (2024)
Our study establishes a novel tool to predict the risk of thymoma with a good performance. If prospectively validated, the model may refine thymoma patient selection for risk-adaptative therapy and improve prognosis.
Keyphrases
  • high resolution
  • climate change
  • stem cells
  • mesenchymal stem cells
  • myasthenia gravis
  • mass spectrometry
  • bone marrow