Dynamic contrast-enhanced ultrasound predicts microsphere biodistribution in real-time during transarterial radioembolization

Abstract Background Transarterial radioembolization (TARE) treatment efficacy critically depends on the microsphere biodistribution in the liver. Current treatment planning protocols rely on a pre-treatment scout procedure to evaluate this biodistribution for a selected catheter configuration. However, replication of the catheter configuration during treatment is challenging and often results in suboptimal tumor targeting. Here we present and experimentally validate a concept to improve tumor targeting using dynamic contrast-enhanced ultrasound (DCE-US) imaging to predict the microsphere biodistribution in real-time, using ultrasound contrast microbubbles as microsphere precursors. Methods DCE-US-guided TARE was performed in three ex vivo perfused porcine livers using a customized normothermic machine-perfusion platform. In each liver, one lobe was selected for targeting, and a 9L4 ultrasound transducer was fixed to image this location. A microcatheter was inserted in the hepatic artery under fluoroscopic guidance. Several catheter positions were analyzed in real-time using ultrasound contrast microbubbles and time-intensity curves (TICs). The catheter position was optimized based on peak TIC intensity, which was retained for subsequent injection of non-irradiated 165 Ho-microspheres. The resulting microsphere biodistribution was evaluated by R2 * mapping in MRI. Results Here we show that DCE-US can be used to identify feeding arteries, enabling optimization of the catheter placement to maximize peak intensity within the target lobe. MRI confirms the relative microsphere biodistribution as predicted by DCE-US in two quantifiable cases (Case 2: 99.2% [MRI] vs. 98% [DCE-US]; Case 3: 70.2% [MRI] vs. 80.9% [DCE-US]). Conclusions DCE-US enables accurate prediction of microsphere biodistribution, providing real-time feedback for immediate intra-operative optimization of the catheter position during TARE.

Authors

Institutions

Publication Details

Journal
Communications Medicine
Published
2026-06-30
DOI
https://doi.org/10.1038/s43856-026-01760-x
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic contrast-enhanced ultrasound predicts microsphere biodistribution in real-time during transarterial radioembolization

Srirang Manohar, Wyger M. Brink, Michel Versluis, Jutta Arens et al.
Communications Medicine
Hepatocellular Carcinoma Treatment and Prognosis
article

Dynamic contrast-enhanced ultrasound predicts microsphere biodistribution in real-time during transarterial radioembolization

Srirang Manohar, Wyger M. Brink, Michel Versluis, Jutta Arens, Jan L. van der Hoek, T J Snoeijink, A. Visser, J.G.M. Greve, H.R. Liefers, M. E. Krommendijk, K. D. E. de Bree, E. Groot Jebbink
article en

Abstract

Abstract Background Transarterial radioembolization (TARE) treatment efficacy critically depends on the microsphere biodistribution in the liver. Current treatment planning protocols rely on a pre-treatment scout procedure to evaluate this biodistribution for a selected catheter configuration. However, replication of the catheter configuration during treatment is challenging and often results in suboptimal tumor targeting. Here we present and experimentally validate a concept to improve tumor targeting using dynamic contrast-enhanced ultrasound (DCE-US) imaging to predict the microsphere biodistribution in real-time, using ultrasound contrast microbubbles as microsphere precursors. Methods DCE-US-guided TARE was performed in three ex vivo perfused porcine livers using a customized normothermic machine-perfusion platform. In each liver, one lobe was selected for targeting, and a 9L4 ultrasound transducer was fixed to image this location. A microcatheter was inserted in the hepatic artery under fluoroscopic guidance. Several catheter positions were analyzed in real-time using ultrasound contrast microbubbles and time-intensity curves (TICs). The catheter position was optimized based on peak TIC intensity, which was retained for subsequent injection of non-irradiated 165 Ho-microspheres. The resulting microsphere biodistribution was evaluated by R2 * mapping in MRI. Results Here we show that DCE-US can be used to identify feeding arteries, enabling optimization of the catheter placement to maximize peak intensity within the target lobe. MRI confirms the relative microsphere biodistribution as predicted by DCE-US in two quantifiable cases (Case 2: 99.2% [MRI] vs. 98% [DCE-US]; Case 3: 70.2% [MRI] vs. 80.9% [DCE-US]). Conclusions DCE-US enables accurate prediction of microsphere biodistribution, providing real-time feedback for immediate intra-operative optimization of the catheter position during TARE.

Communications Medicine
Radboud University Nijmegen (NL), Radboud University Medical Center (NL), University of Twente (NL)
ZonMw
Good health and well-being
Openalex Percentile: Top 8%
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.