Evidence map›Paper›PMID 39189738›Full record

ArticleArtificial organs2024

Contrast-enhanced computed tomography for ex vivo assessment of human kidneys: A proof-of-concept study.

Alborz Feizi, Jenna R DiRito, Owen Richfield, John C Stendahl, Matthew Harris, Susann Spindler, Christopher M Edwards, Taras Lysyy, Shin Rong Lee, Nabil E Boutagy and 8 more

Abstract read
In one paragraph

Article in Artificial organs, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Contrast-Enhanced Ultrasound to Assess Kidney Quality DuringTransplant international : official journal of the European Society for Organ Transplantation · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Alborz FeiziDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-6960-7028
Jenna R DiRitoDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0002-8513-5937
Owen RichfieldDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
John C StendahlYale Translational Research Imaging Center, New Haven, Connecticut, USA.
Matthew HarrisDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Susann SpindlerDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Christopher M EdwardsDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Taras LysyyDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Shin Rong LeeDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Nabil E BoutagyYale Translational Research Imaging Center, New Haven, Connecticut, USA.
Attila FeherYale Translational Research Imaging Center, New Haven, Connecticut, USA.
Peter YooDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Sarah A HosgoodDepartment of Surgery, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0002-8039-143X
David C MulliganDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Michael L NicholsonDepartment of Surgery, University of Cambridge, Cambridge, UK.
Albert J SinusasDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
Danielle J HaakinsonDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.
Gregory T TietjenDepartment of Surgery, Yale School of Medicine, New Haven, Connecticut, USA.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Training In Multi-modality Molecular & Translational Cardiovascular ImagingT32HL098069 · NHLBI · YALE UNIVERSITY · PI JAMES S DUNCAN, Georges El Fakhri · 2010 to 2026
$5.2M
Human and Translational Immunology Training ProgramT32AI155387 · NIAID · YALE UNIVERSITY · PI Joseph Edgar Craft, Kevan C Herold · 2021 to 2026
$2.6M
Mechanisms and Ex Vivo Repair of Cold-Storage Injury in Human Kidney AllograftsR01DK124420 · NIDDK · YALE UNIVERSITY · PI KULKARNI, SANJAY, POBER, JORDAN S · 2020 to 2024
$2.5M
Hybrid Volumetric SPECT/CT Imaging SystemS10RR025555 · NCRR · YALE UNIVERSITY · PI SINUSAS, ALBERT J · 2009 to 2009
$500k
NCRR NIH HHS S10 RR025555New England Donor Services: Pilot Grant AwardNHLBI NIH HHS T32 HL098069NIAID NIH HHS T32 AI155387NIDDK NIH HHS R01 DK124420NIGMS NIH HHS T32 GM007205NIH HHS R01-DK124420NIH HHS S10 RR025555NIH HHS T32GM007205NIH HHS T32-HL098069
6 · The paper itself

Abstract

backgroundEx vivo perfusion of transplant-declined human organs has emerged as a promising platform to study the response of an organ to novel therapeutic strategies. However, to fully realize the capability of this platform for performing translational research in human organ pathophysiology, there is a need for robust assays to assess organ function and disease. State-of-the-art research methods rely on analyses of biopsies taken during perfusion, which both damages the organ and only provides localized information. Developing non-invasive, whole organ methods of assessment is critical to the further development of this research platform.

methodsWe use ex vivo cold infusion scanning (EXCIS) with contrast-enhanced computed tomography (CT) to quantify perfusion in kidneys preserved ex vivo. EXCIS-CT computes three complementary metrics for whole organ assessment: a dynamic assessment of contrast filling, a measure of vascular network anatomical structure, and a static assessment of perfusion heterogeneity.

resultsThese metrics were applied to a series of six transplant-declined human kidneys, which demonstrated a range of anatomies and perfusion. Lastly, two transplant-declined human kidneys were imaged before and after a 1-h period of ex vivo normothermic perfusion (NMP). We found variable responses to NMP, with one kidney maintaining the vascular network and hemodynamics and the other showing significant changes in vessel size and spatial perfusion profile.

conclusionsEXCIS-CT provides metrics that can be used to characterize whole organ perfusion and vascular function.

Indexed as

Contrast MediaKidneyPerfusionProof of Concept StudyTomography, X-Ray ComputedFemaleHumansKidney TransplantationMaleMiddle AgedOrgan PreservationContrast Mediacomputed tomographyex vivo perfusionkidney analysis

Identifiers

PMID39189738
PMCPMC12327401

What OpenQuestion holds

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Registered trials

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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.