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Autor(en) / Beteiligte
Titel
Magnetic resonance imaging assessment of renal flow distribution patterns during ex vivo normothermic machine perfusion in porcine and human kidneys
Ist Teil von
  • Transplant international, 2021-09, Vol.34 (9), p.1643-1655
Ort / Verlag
Groningen: Blackwell Publishing Ltd
Erscheinungsjahr
2021
Link zum Volltext
Quelle
Wiley Online Library Journals Frontfile Complete
Beschreibungen/Notizen
  • Summary Acceptance criteria of deceased donor organs have gradually been extended toward suboptimal quality, posing an urgent need for more objective pre‐transplant organ assessment. Ex vivo normothermic machine perfusion (NMP) combined with magnetic resonance imaging (MRI) could assist clinicians in deciding whether a donor kidney is suitable for transplantation. Aim of this study was to characterize the regional distribution of perfusate flow during NMP, to better understand how ex vivo kidney assessment protocols should eventually be designed. Nine porcine and 4 human discarded kidneys underwent 3 h of NMP in an MRI‐compatible perfusion setup. Arterial spin labeling scans were performed every 15 min, resulting in perfusion‐weighted images that visualize intrarenal flow distribution. At the start of NMP, all kidneys were mainly centrally perfused and it took time for the outer cortex to reach its physiological dominant perfusion state. Calculated corticomedullary ratios based on the perfusion maps reached a physiological range comparable to in vivo observations, but only after 1 to 2 h after the start of NMP. Before that, the functionally important renal cortex appeared severely underperfused. Our findings suggest that early functional NMP quality assessment markers may not reflect actual physiology and should therefore be interpreted with caution. This study is the first to visualize the regional distribution of renal perfusate flow with magnetic resonance techniques during the first hours of warm ex vivo perfusion in porcine and human kidneys.
Sprache
Englisch
Identifikatoren
ISSN: 0934-0874
eISSN: 1432-2277
DOI: 10.1111/tri.13991
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9290094

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