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Radiomic Features Are Predictive of Response in Rectal Cancer Undergoing Therapy.

Diletta SantiniGinevra DantiEleonora BicciAntonio GalluzzoSilvia BettariniSimone BusoniTommaso InnocentiAndrea GalliVittorio Miele
Published in: Diagnostics (Basel, Switzerland) (2023)
We developed an MRI-based radiomic model that is able to differentiate and predict between responders and non-responders who went through nCRT for rectal cancer. This approach might identify early lesions with high surgical potential from lesions potentially resolving after medical treatment.
Keyphrases
  • rectal cancer
  • locally advanced
  • magnetic resonance imaging
  • healthcare
  • contrast enhanced
  • stem cells
  • risk assessment
  • magnetic resonance
  • human health
  • combination therapy
  • mesenchymal stem cells