Ex-Vivo Human-Sized Organ Machine Perfusion: A Systematic Review on the Added Value of Medical Imaging for Organ Condition Assessment

Transpl Int. 2024 Sep 4:37:12827. doi: 10.3389/ti.2024.12827. eCollection 2024.

Abstract

Machine perfused ex-vivo organs offer an excellent experimental platform, e.g., for studying organ physiology and for conducting pre-clinical trials for drug delivery. One main challenge in machine perfusion is the accurate assessment of organ condition. Assessment is often performed using viability markers, i.e., lactate concentrations and blood gas analysis. Nonetheless, existing markers for condition assessment can be inconclusive, and novel assessment methods remain of interest. Over the last decades, several imaging modalities have given unique insights into the assessment of organ condition. A systematic review was conducted according to accepted guidelines to evaluate these medical imaging methods, focussed on literature that use machine perfused human-sized organs, that determine organ condition with medical imaging. A total of 18 out of 1,465 studies were included that reported organ condition results in perfused hearts, kidneys, and livers, using both conventional viability markers and medical imaging. Laser speckle imaging, ultrasound, computed tomography, and magnetic resonance imaging were used to identify local ischemic regions and quantify intra-organ perfusion. A detailed investigation of metabolic activity was achieved using 31P magnetic resonance imaging and near-infrared spectroscopy. The current review shows that medical imaging is a powerful tool to assess organ condition.

Keywords: heart; human; kidney; large animal; liver; machine perfusion; medical imaging; organ condition.

Publication types

  • Systematic Review

MeSH terms

  • Diagnostic Imaging / methods
  • Humans
  • Kidney / diagnostic imaging
  • Kidney / metabolism
  • Liver / diagnostic imaging
  • Liver / metabolism
  • Magnetic Resonance Imaging / methods
  • Organ Preservation* / methods
  • Perfusion* / methods
  • Tomography, X-Ray Computed / methods
  • Ultrasonography / methods

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The Talent Programme-ZonMw Veni program of the Netherlands Organization for Scientific Research (NWO) provided funding for this study under grant number 09150161910173.