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 BurgioPublished 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.