Evidence map›Paper›PMID 41405740›Full record

ArticleEJNMMI physics2025

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

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

Abstract read
In one paragraph

Article in EJNMMI physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Minseok SuhDepartment of Nuclear Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.ORCID http://orcid.org/0000-0002-6932-8552
Keon Min KimInterdisciplinary Program in Radiation Applied Life Science, Seoul National University, Seoul, Korea.ORCID http://orcid.org/0000-0003-1634-8215
Jin Woo ChoiDepartment of Radiology, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.ORCID http://orcid.org/0000-0002-6639-8002
Jae Sung LeeDepartment of Nuclear Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.ORCID http://orcid.org/0000-0001-7623-053X
Jin Chul PaengDepartment of Nuclear Medicine, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea. paengjc@snu.ac.kr.ORCID http://orcid.org/0000-0002-7464-9342
Hyo-Cheol KimDepartment of Radiology, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea. radioembolization@snu.ac.kr.ORCID http://orcid.org/0000-0002-6016-247X

Funding

Ministry of SMEs and Startups RS-2025-02222237National Research Foundation of Korea grants funded by the Koreangovernment (MSIT) RS-2022-00164776Seoul National University Hospital 24A-023-0100The Seoul Metropolitan Government BT240153
6 · The paper itself

Abstract

purposeWe applied a voxel-based personalized dosimetry method using multiple voxel S-values (VSVs) to assess the intratumoral dose distribution in hepatocellular carcinoma (HCC) patients treated with trans-arterial radioembolization (TARE) using glass microspheres. This study aimed to evaluate the predictive value of dose metrics for treatment response and local progression-free survival (L-PFS).

methodsNinety patients with HCC who underwent TARE between November 2015 and December 2019 were retrospectively analyzed. Post-treatment

resultsAmong 90 patients, 57 (63.3%) achieved CR. PET average dose, D70, V-V

conclusionVoxel-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

Indexed as

Hepatocellular carcinomaTrans-arterial radioembolizationTumor heterogeneityVoxel-based dosimetry

Identifiers

PMID41405740
PMCPMC12824089

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.