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Contrast MR-Based Radiomics and Machine Learning Analysis to Assess Clinical Outcomes following Liver Resection in Colorectal Liver Metastases: A Preliminary Study.

Vincenza GranataRoberta FuscoFederica De MuzioCarmen CutoloSergio Venanzio SetolaFederica Dell' AversanaAlessandro OttaianoAntonio AvalloneGuglielmo NastiFrancesca GrassiVincenzo PiloneVittorio MieleLuca BruneseFrancesco IzzoAntonella Petrillo
Published in: Cancers (2022)
Our results confirmed the capacity of radiomics to identify as biomarkers and several prognostic features that could affect the treatment choice in patients with liver metastases in order to obtain a more personalized approach.
Keyphrases
  • liver metastases
  • contrast enhanced
  • machine learning
  • magnetic resonance
  • lymph node metastasis
  • magnetic resonance imaging
  • computed tomography
  • artificial intelligence
  • squamous cell carcinoma
  • combination therapy