Resin-Based 90 Y Tumor Dose as a Predictor of Duration of Response and Survival in Patients With Surgically Unresectable Hepatocellular Carcinoma : A Prospective Single-Arm Study.

Abstract

Personalized dosimetry improves overall survival (OS) in patients with hepatocellular carcinoma (HCC) treated with glass 90 Y radioembolization. This study evaluated personalized tumor dose (TD) as a predictor of OS, progression-free survival (PFS), and local duration of response (DOR) in patients with surgically unresectable HCC treated with resin 90 Y radioembolization. This prospective, single-center, single-arm clinical trial (NCT04172714) evaluated the efficacy of scout activity of resin 90 Y versus 99m Tc-MAA for treatment planning. A secondary aim of this study was to evaluate personalized dosimetry as a predictor of OS, PFS, and DOR. Partition dosimetry model was utilized for nonsegmental therapies with targeted TD >200 Gy and nontumoral liver dose <70 Gy. Single compartment dose of 200 Gy was used for segmentectomies. OS, PFS, and local DOR from 90 Y was estimated using Kaplan-Meier estimation with log-rank analysis used to determine predictors of prolonged survival. Thirty patients with treatment-naive HCC and 33 tumors (19 segmental and 14 nonsegmental) were included. Overall, 18 patients underwent segmental Y90-RE and 12 underwent non-segmental/lobar therapies. The mean 90 Y TD was 493 Gy. The median follow-up since enrollment into the study was 37 months. The mean OS was 32.2 months for the entire cohort. A total of 5 patients underwent orthotopic liver transplantation post 90 Y and were excluded from further survival analysis. The mean OS for the remainder of the cohort was 30.1 months (median not reached). The mean TD >250 Gy resulted in prolonged mean OS and PFS. The median local DOR was 32.7 months with mean TD 330 Gy predicting prolonged DOR. For patients with surgically unresectable HCC treated with resin 90 Y, there is mean TD threshold predicting prolonged OS, PFS, and local DOR. Therefore, there should be further emphasis on personalized dosimetry for optimization of patient outcomes.