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Comparison between Three Radiomics Models and Clinical Nomograms for Prediction of Lymph Node Involvement in PCa Patients Combining Clinical and Radiomic Features.

Domiziana SantucciRaffaele RagoneElva VergantinoFederica VaccarinoFrancesco EspertoFrancesco PrataRoberto Mario ScarpaRocco PapaliaBruno Beomonte ZobelFrancesco Rosario GrassoEliodoro Faiella
Published in: Cancers (2024)
Among the prediction models developed using integrated data (radiomics and semantics), RF shows slightly higher diagnostic accuracy in terms of AUC compared to clinical nomograms in PCa lymph node involvement prediction.
Keyphrases
  • lymph node
  • newly diagnosed
  • end stage renal disease
  • neoadjuvant chemotherapy
  • squamous cell carcinoma
  • prognostic factors
  • computed tomography
  • machine learning
  • electronic health record
  • contrast enhanced
  • big data