Voxel-based dosimetry for predicting treatment response to transarterial radioembolization in hepatocellular carcinoma: significance of intratumoral dose distribution

Voxel-based dosimetry using multiple VSV kernels enables quantitative assessment of intratumoral dose distribution in HCC patients treated with TARE. Among voxel-level parameters, D70, V-V<sub>205</sub>, and CoV showed good performance in predicting CR, and V-V<sub>205</sub> was the only independent predictor for both treatment response and L-PFS. These findings support the added prognostic value of voxel-based dose metrics beyond average tumor absorbed dose.

Authors

Institutions

Publication Details

Journal
EJNMMI Physics
Published
2025-12-17
DOI
https://doi.org/10.1186/s40658-025-00822-8
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Voxel-based dosimetry for predicting treatment response to transarterial radioembolization in hepatocellular carcinoma: significance of intratumoral dose distribution

Minseok Suh, Jin Woo Choi, Hyo‐Cheol Kim, Keon Min Kim et al.
EJNMMI Physics
Hepatocellular Carcinoma Treatment and Prognosis
article

Voxel-based dosimetry for predicting treatment response to transarterial radioembolization in hepatocellular carcinoma: significance of intratumoral dose distribution

Minseok Suh, Jin Woo Choi, Hyo‐Cheol Kim, Keon Min Kim, Jin Chul Paeng, Jae Sung Lee
article en

Abstract

Voxel-based dosimetry using multiple VSV kernels enables quantitative assessment of intratumoral dose distribution in HCC patients treated with TARE. Among voxel-level parameters, D70, V-V<sub>205</sub>, and CoV showed good performance in predicting CR, and V-V<sub>205</sub> was the only independent predictor for both treatment response and L-PFS. These findings support the added prognostic value of voxel-based dose metrics beyond average tumor absorbed dose.

EJNMMI PhysicsVol. 13(1)
Seoul National University (KR), New Generation University College (ET), National University College (PR)
Openalex Percentile: Top 46%
Hepatocellular Carcinoma Treatment and Prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.