Keeping the Kidney: Assessing Donor Organ Viability by Magnetic Resonance Imaging

Li, Jennifer; Rogers, Natasha M.

doi:10.1097/tp.0000000000003324

Cited by 1 publication

(1 citation statement)

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“…A second tool to advance pretransplant kidney viability assessment during NMP is through innovative imaging methods. 11,[135][136][137] Near-infrared spectroscopy, (functional) MRI ([f]MRI), positron emission tomography, contrast-enhanced ultrasound, ultrafast ultrasound imaging, laser speckle imaging, and multiphoton microscopy imaging all have the potential to unravel renal physiological processes during NMP in a noninvasive manner (Table 3). Additionally, these methods may provide more information about regional differences in the functional properties of the ex vivo perfused kidney.…”

Section: Mpm Imagingmentioning

confidence: 99%

Renal Normothermic Machine Perfusion: The Road Toward Clinical Implementation of a Promising Pretransplant Organ Assessment Tool

et al. 2022

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The increased utilization of high-risk renal grafts for transplantation requires optimization of pretransplant organ assessment strategies. Current decision-making methods to accept an organ for transplantation lack overall predictive power and always contain an element of subjectivity. Normothermic machine perfusion (NMP) creates near-physiological conditions, which might facilitate a more objective assessment of organ quality before transplantation. NMP is rapidly gaining popularity, with various transplant centers developing their own NMP protocols and renal viability criteria. However, to date, no validated sets of on-pump viability markers exist nor are there unified NMP protocols. This review provides a critical overview of the fundamentals of current renal NMP protocols and proposes a framework to approach further development of ex vivo organ evaluation. We also comment on the potential logistical implications of routine clinical use of NMP, which is a more complex procedure compared with static cold storage or even hypothermic machine perfusion.

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Section: Mpm Imagingmentioning

confidence: 99%