Parametric response mapping of dynamic CT for predicting intrahepatic recurrence of XXXX after conventional transcatheter arterial chemoembolization.

@entity1 @entity157 @entity5
OBJECTIVES: The aim of our study was to determine the diagnostic value of a novel image analysis method called parametric response mapping (PRM) for prediction of intrahepatic recurrence of @entity157 ( @entity157 ) treated with conventional transcatheter arterial chemoembolization (TACE). METHODS: This retrospective study was approved by the IRB. We recruited 55 @entity157 @entity1 who achieved complete remission (CR) after TACE and received longitudinal multiphasic liver computed tomography (CT). The @entity1 fell into two groups: the recurrent @entity5 group (n   =   29) and the non-recurrent @entity5 group (n   =   26). We applied the PRM analysis to see if this technique could distinguish between the two groups. The results of the PRM analysis were incorporated into a prediction algorithm. We retrospectively removed data from the last time point and attempted to predict the response to therapy of the removed data. RESULTS: The PRM analysis was able to distinguish between the non-recurrent and recurrent groups successfully. The prediction algorithm detected response to therapy with an area under the curve (AUC) of 0.76, while the manual approach had AUC 0.64. CONCLUSIONS: Adopting PRM analysis can potentially distinguish between recurrent and non-recurrent HCCs and allow for prediction of response to therapy after TACE. KEY POINTS:     Parametric response mapping (PRM) could help assess @entity1 with recurrent HCCs after TACE.     Parametric response mapping could direct @entity1 to individualized therapy.     Longitudinal CT images were analyzed with advanced image analysis method.
