ArticleArtificial organs2023
Magnetic resonance imaging during warm ex vivo kidney perfusion.
Article in Artificial organs, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Transplant international : official journal of the European Society for Organ Transplantation · 2024Pooled it
- Magnetic Resonance Imaging Evaluation of Functional Differences Between In Vivo Human Kidneys and Discarded Human Kidneys During Ex Vivo Normothermic Machine Perfusion.Artificial organs · 2026Article
- Validation of Intravoxel Incoherent Motion MRI Using Perfused Explanted Human Livers.Magnetic resonance in medicine · 2026Article
- Label-free viability assessment ofBiomedical optics express · 2026Article
- Real-Time Viability Assessment of Ex Vivo Mouse Kidneys for Transplant Applications Using Dynamic Optical Coherence Tomography.bioRxiv : the preprint server for biology · 2025Article
- Contrast-enhanced computed tomography for ex vivo assessment of human kidneys: A proof-of-concept study.Artificial organs · 2024Article
- Ex Vivo Simultaneous HJournal of imaging · 2024Article
- The Puzzle of Preimplantation Kidney Biopsy Decision-Making Process: The Pathologist Perspective.Life (Basel, Switzerland) · 2024Review
- Expanding the Horizons of Pre-Transplant Renal Vascular Assessment Using Ex Vivo Perfusion.Current issues in molecular biology · 2023Review
- Oxidation of hyperpolarized [1-NMR in biomedicine · 2023Article
- Magnetic resonance imaging during warm ex vivo kidney perfusion.Artificial organs · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundThe shortage of donor organs for transplantation remains a worldwide problem. The utilization of suboptimal deceased donors enlarges the pool of potential organs, yet consequently, clinicians face the difficult decision of whether these sub-optimal organs are of sufficient quality for transplantation. Novel technologies could play a pivotal role in making pre-transplant organ assessment more objective and reliable.
methodsEx vivo normothermic machine perfusion (NMP) at temperatures around 35-37°C allows organ quality assessment in a near-physiological environment. Advanced magnetic resonance imaging (MRI) techniques convey unique information about an organ's structural and functional integrity. The concept of applying magnetic resonance imaging during renal normothermic machine perfusion is novel in both renal and radiological research and we have developed the first MRI-compatible NMP setup for human-sized kidneys.
resultsWe were able to obtain a detailed and real-time view of ongoing processes inside renal grafts during ex vivo perfusion. This new technique can visualize structural abnormalities, quantify regional flow distribution, renal metabolism, and local oxygen availability, and track the distribution of ex vivo administered cellular therapy.
conclusionThis platform allows for advanced pre-transplant organ assessment, provides a new realistic tool for studies into renal physiology and metabolism, and may facilitate therapeutic tracing of pharmacological and cellular interventions to an isolated kidney.
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Registered trials
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.