Dynamic Contrast-Enhanced MRI Kinetic Parameters as Prognostic Biomarkers for Prediction of Survival of Patient with Advanced Hepatocellular Carcinoma: A Pilot Comparative Study.

摘要: Rationale and Objectives Tracer kinetic model selection for dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data analysis influences its use as a prognostic biomarker. Our aim was to find DCE-MRI parameters that predict 1-year survival (1YS) overall (OS) among patients with advanced hepatocellular carcinoma (HCC) treated antiangiogenic monotherapy by conducting proof-of-concept comparative study of five different models. Materials Methods Twenty HCC underwent subsequently received sunitinib. Pretreatment were analyzed retrospectively using the Tofts-Kety (TK), extended TK, two compartment exchange, adiabatic approximation tissue homogeneity (AATH), distributed parameter (DP) models. Arterial flow fraction (γ), arterial blood (BFA), permeability–surface area product (PS), fractional interstitial volume (vI), other calculated each model. Individual evaluated 1YS prediction cross-validated Kaplan–Meier analysis, association OS univariate Cox regression additional permutation testing. Results For prediction, TK model–derived γ (P = .007) vI (P = .029) AATH model-derived PS (P = .005) significant; all these lower in high-risk group. Increase DP BFA associated significant increase hazard ratios 0.766 (P = .023) 0.809 (P = .025), respectively. Conclusions The an effective biomarker both OS.