Porcine liver machine perfusion under MRI to study the influence of hepatic arterial blood flow on microsphere distribution in radioembolization

Motivation: Patients undergoing transarterial radioembolization (TARE) present with a broad range of hepatic arterial (HA) blood flows. Whether the HA blood flow affects the distribution of microspheres remains unknown. Goal(s): To investigate the influence of HA blood flow on microsphere distribution via an MRI-compatible ex vivo porcine liver machine perfusion set-up. Approach: Paramagnetic holmium microspheres were injected in the HA under varying arterial blood flow conditions. Holmium-sensitive T2*-weighed MRI scans were acquired to study the microsphere distribution. Results: The MRI-based dose maps revealed more homogenous distribution patterns for higher HA flows compared to lower flows. Impact: Our ex vivo porcine liver perfusion setup under MRI provides an unique platform to assess the influence of patient-specific parameters during TARE. This platform may also contribute to the detailed study of various liver diseases and potential treatments under MRI.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2198
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
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article

Porcine liver machine perfusion under MRI to study the influence of hepatic arterial blood flow on microsphere distribution in radioembolization

Simeon J. S. Ruiter, Erik Groot Jebbink, H. Remco Liefers, J. Frank W. Nijsen et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Liver Disease Diagnosis and Treatment
article

Porcine liver machine perfusion under MRI to study the influence of hepatic arterial blood flow on microsphere distribution in radioembolization

Simeon J. S. Ruiter, Erik Groot Jebbink, H. Remco Liefers, J. Frank W. Nijsen, Milou Boswinkel, Tess J. Snoeijink, Joan M. Greve, Jan L. van der Hoek, Anne van den Brekel
article en

Abstract

Motivation: Patients undergoing transarterial radioembolization (TARE) present with a broad range of hepatic arterial (HA) blood flows. Whether the HA blood flow affects the distribution of microspheres remains unknown. Goal(s): To investigate the influence of HA blood flow on microsphere distribution via an MRI-compatible ex vivo porcine liver machine perfusion set-up. Approach: Paramagnetic holmium microspheres were injected in the HA under varying arterial blood flow conditions. Holmium-sensitive T2*-weighed MRI scans were acquired to study the microsphere distribution. Results: The MRI-based dose maps revealed more homogenous distribution patterns for higher HA flows compared to lower flows. Impact: Our ex vivo porcine liver perfusion setup under MRI provides an unique platform to assess the influence of patient-specific parameters during TARE. This platform may also contribute to the detailed study of various liver diseases and potential treatments under MRI.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 66%
Liver Disease Diagnosis and Treatment
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Porcine liver machine perfusion under MRI to study the influence of hepatic arterial blood flow on microsphere distribution in radioembolization — Simeon J. S. Ruiter, Erik Groot Jebbink, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS