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Performances and variability of CT radiomics for the prediction of microvascular invasion and survival in patients with HCC: a matter of chance or standardisation?

Roberto CannellaJoao SantinhaAurélie BèaufrereMaxime RonotRiccardo SartorisFrancois CauchyMohamed BouattourCelso MatosNickolas PapanikolaouValérie VilgrainMarco Dioguardi Burgio
Published in: European radiology (2023)
• The performance of the radiomics models for the prediction of microvascular invasion and survival widely ranged (AUC range 0.44-0.68) in the randomly partitioned cohorts. • The radiomics model for the prediction of microvascular invasion was unsatisfying when trying to simulate its sequential development and clinical use in a temporal partitioned cohort imaged with a variety of CT scanners. • The performance of the radiomics models for the prediction of survival was good with similar performances in the 100-repetition random partitioning and temporal partitioning cohorts.
Keyphrases
  • contrast enhanced
  • lymph node metastasis
  • cell migration
  • computed tomography
  • magnetic resonance imaging
  • magnetic resonance
  • free survival
  • squamous cell carcinoma
  • dual energy