Maximum Tumor Absorbed Dose Measured by Voxel-Based Multicompartmental Dosimetry as a Response Predictor in Yttrium-90 Radiation Segmentectomy for Hepatocellular Carcioma

Author:

Rincón Javier Orcajo1ORCID,Regi Amanda Rotger2,Peña Ana Matilla2,Berenguer Laura Reguera2,Leyte Manuel González2,Martín Laura Carrión2,Santa Jaime Atance García De La2,Boyra Miguel Echenagusia2,Ruiz Cristina González2,Rodriguez Arturo Colón2,Farto Juan Carlos Alonso2

Affiliation:

1. Hospital General Universitario Gregorio Maranon

2. General University hospital Gregorio Maranon: Hospital General Universitario Gregorio Maranon

Abstract

Abstract Objective Advances in hepatic radioembolization are based on a selective approach with radical intent and the use of multi-compartment dosimetric analysis. The objective of this study is to assess the utility of voxel-based dosimetry in the quantification of actual absorbed doses in radiation segmentectomy procedures and to establish cut-off values predictive of response. Methods Ambispective study in hepatocarcinoma patients treated with radiation segmentectomy. Calculated dosimetric parameters were mean tumor absorbed dose, maximum tumor AD, tumor AD in 30, 50 and 70% of tumor volume and mean AD in non-tumor liver. Actual absorbed dose (aAD) was calculated on the Y-90-PET/CT image using 3D voxel-based dosimetry software. To assess radiological response, localized mRECIST criteria were used. Objective response rate (ORR) was defined as CR or PR. Results 24 HCC patients, BCLC 0 (5), A (17) and B (2) were included. Mean yttrium-90 administered activity was 1.38GBq in a mean angiosome volume of 206.9cc and tumor volume 56.01cc. Mean theoretical AD was 306.3Gy and aAD 352Gy. A very low concordance was observed between both parameters (rho_c 0.027). ORR at 3 and 6m was 84.21% and 92.31% respectively. Statistically significant relationship was observed between maximum tumor absorbed dose and complete radiological response at 3m (p 0.022). Conclusion A segmental approach with radical intention leads to response rates greater than 90%, being the tumor maximum absorbed dose the dosimetric parameter that best predicts radiological response in voxel-based dosimetry.

Publisher

Research Square Platform LLC

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