A Sensor for Measuring Vital Parameters During Ex Situ Liver Perfusion

Machine perfusion (MP) allows for a donor organ to preserve graft viability and function ex situ. This strategy allows surgeons to assess a donated organ isolated from the host body. However, assessment for transplantation is a challenging task, particularly for organs subjected to significant damage including grafts donated after circulatory death (DCD). As systematic assessment approaches are lacking, most DCD grafts in liver transplantation are discarded due to uncertainty in their viability resulting in the transplantation of only 24% of the donated DCD livers in the US and UK [1]. Thus, identifying and measuring predictive biomarkers in real-time during MP could significantly increase the utilization of DCD organs suitable for transplant, reducing waitlist mortality.

Authors

Institutions

Publication Details

Published
2025-06-23
DOI
https://doi.org/10.1109/cleo/europe-eqec65582.2025.11111232
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Sensor for Measuring Vital Parameters During Ex Situ Liver Perfusion

Nika Petelinšek, Jonas Binz, Florian Huwyler, Mark W. Tibbitt et al.
Liver Disease Diagnosis and Treatment
article

A Sensor for Measuring Vital Parameters During Ex Situ Liver Perfusion

Nika Petelinšek, Jonas Binz, Florian Huwyler, Mark W. Tibbitt, Jasmina Saxer
article en

Abstract

Machine perfusion (MP) allows for a donor organ to preserve graft viability and function ex situ. This strategy allows surgeons to assess a donated organ isolated from the host body. However, assessment for transplantation is a challenging task, particularly for organs subjected to significant damage including grafts donated after circulatory death (DCD). As systematic assessment approaches are lacking, most DCD grafts in liver transplantation are discarded due to uncertainty in their viability resulting in the transplantation of only 24% of the donated DCD livers in the US and UK [1]. Thus, identifying and measuring predictive biomarkers in real-time during MP could significantly increase the utilization of DCD organs suitable for transplant, reducing waitlist mortality.

ETH Zurich (CH)
Openalex Percentile: Top 70%
Liver Disease Diagnosis and Treatment
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.