Evidence map›Paper›PMID 30589907›Full record

ArticlePloS one2018

Multiparametric MRI for organ quality assessment in a porcine Ex-Vivo lung perfusion system.

Julius Renne, Marcel Gutberlet, Andreas Voskrebenzev, Agilo Kern, Till Kaireit, Jan Hinrichs, Patrick Zardo, Gregor Warnecke, Marcus Krüger, Peter Braubach and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Clinical transplantation and research · 2024
    Review
  2. Review
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

15 authors at 1 institution in 1 country.

Julius RenneDepartment of Interventional and Diagnostic Radiology, Hannover Medical School, Hannover, Germany.ORCID 0000-0003-3727-8180
Marcel GutberletDepartment of Interventional and Diagnostic Radiology, Hannover Medical School, Hannover, Germany.
Andreas VoskrebenzevDepartment of Interventional and Diagnostic Radiology, Hannover Medical School, Hannover, Germany.
Agilo KernDepartment of Interventional and Diagnostic Radiology, Hannover Medical School, Hannover, Germany.ORCID 0000-0003-4157-9808
Till KaireitDepartment of Interventional and Diagnostic Radiology, Hannover Medical School, Hannover, Germany.
Jan HinrichsDepartment of Interventional and Diagnostic Radiology, Hannover Medical School, Hannover, Germany.
Patrick ZardoClinic for Cardiothoracic and Transplantation Surgery, Hannover Medical School, Hannover, Germany.
Gregor WarneckeIntegrated Research and Treatment Center Transplantation (IfB-Tx), Hannover, Germany.
Marcus KrügerClinic for Cardiothoracic and Transplantation Surgery, Hannover Medical School, Hannover, Germany.
Peter BraubachIntegrated Research and Treatment Center Transplantation (IfB-Tx), Hannover, Germany.
Danny JonigkIntegrated Research and Treatment Center Transplantation (IfB-Tx), Hannover, Germany.
Axel HaverichClinic for Cardiothoracic and Transplantation Surgery, Hannover Medical School, Hannover, Germany.
Frank WackerDepartment of Interventional and Diagnostic Radiology, Hannover Medical School, Hannover, Germany.
Jens Vogel-ClaussenDepartment of Interventional and Diagnostic Radiology, Hannover Medical School, Hannover, Germany.
Norman ZinneIntegrated Research and Treatment Center Transplantation (IfB-Tx), Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEx-vivo lung perfusion (EVLP) is an emerging technique promising an expansion of the donor pool and improvements in the outcome after lung transplantation. Reliable biomarkers for local assessment of organ function in the EVLP system are intensely sought after. This study aims to evaluate the feasibility of multiparametric functional magnetic resonance imaging (fMRI) in an EVLP system in a porcine aspiration model. MATERIAL AND

methodsSeven female pigs were anesthetized and gastric juice was instilled in the right lower lobe bronchus to simulate aspiration. Left lungs served as control. Lungs were removed and installed in a modified EVLP system. In the 12-hour EVLP run three sequential MRI scans were performed. Oxygen-washout time, Fourier Decomposition derived ventilation and perfusion, and dynamic contrast enhanced imaging derived perfusion were calculated. PaO2:FiO2 ratio was determined and correlated. End-point histology and computed tomography served as control.

resultsAll animals completed the protocol. MRI structural images showed infiltrates in lungs after aspiration comparable to CT scans. Ventilation was significantly (p = 0.016) reduced while perfusion was increased (p = 0.016) in lungs after aspiration. Non-contrast dependent Fourier decomposition perfusion showed good correlation (R2 = 0.67) to dynamic contrast enhanced derived perfusion. Oxygen washout time was significantly increased (p = 0.016) in lungs after aspiration and showed a correlation with the PaO2:FiO2 ratio (R2 = 0.54).

conclusionMultiparametric fMRI for local assessment of organ function is feasible in EVLP and detects alterations in lung function following aspiration with correlation to clinical parameters. fMRI may improve organ assessment in ex-vivo perfusion systems, leading to a better selection of segments suitable for transplant.

Indexed as

Magnetic Resonance ImagingAnimalsBlood Gas AnalysisChemokinesCytokinesFemaleImage Interpretation, Computer-AssistedLungOrgan PreservationOxygenPerfusionSwineTomography, X-Ray ComputedChemokinesCytokinesOxygen

Identifiers

PMID30589907
PMCPMC6307703
OpenAlexW2907494963

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.