Evidence map›Paper›PMID 37016761›Full record

ArticleLiver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society2023

Fluorescence confocal microscopy on liver specimens for full digitization of transplant pathology.

Maximilian N Kinzler, Falko Schulze, Alexandra Reitz, Steffen Gretser, Paul Ziegler, Oleksandr Shmorhun, Mireen Friedrich-Rust, Jörg Bojunga, Stefan Zeuzem, Andreas A Schnitzbauer and 4 more

Abstract read
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In one paragraph

Article in Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Instant confocal histology for the evaluation of kidney transplant procurement biopsies.Virchows Archiv : an international journal of pathology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Maximilian N KinzlerDepartment of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.ORCID 0000-0003-2378-1455
Falko SchulzeDr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.
Alexandra ReitzDr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.
Steffen GretserDr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.ORCID 0000-0002-4875-3808
Paul ZieglerDr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.
Oleksandr ShmorhunDr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.
Mireen Friedrich-RustDepartment of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.
Jörg BojungaDepartment of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.
Stefan ZeuzemDepartment of Internal Medicine I, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.ORCID 0000-0002-0845-6833
Andreas A SchnitzbauerDepartment of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.
Wolf Otto BechsteinDepartment of General, Visceral, Transplant and Thoracic Surgery, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.
Henning ReisDr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.ORCID 0000-0003-1373-5295
Ana Paula BarreirosGerman Organ Procurement Organization (DSO), 60594 Frankfurt am Main, Germany.
Peter J WildDr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University Frankfurt am Main, Germany.
Goethe University Frankfurt · DEGerman Organ Transplantation Foundation · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluorescence confocal microscopy (FCM) is a rapidly evolving tool that provides real-time virtual HE images of native tissue. Data about the potential of FCM as an alternative to frozen sections for the evaluation of donor liver specimens are lacking so far. The aim of the current study was to determine the value of FCM in liver specimens according to the criteria of the German Society for Organ Procurement. In this prospective study, conventional histology and FCM scans of 50 liver specimens (60% liver biopsies, 26% surgical specimens, and 14% donor samples) were evaluated according to the German Society for Organ Procurement. A comparison of FCM scans and conventional frozen sections revealed almost perfect levels of agreement for cholangitis (κ = 0.877), fibrosis (κ = 0.843), and malignancy (κ = 0.815). Substantial levels of agreement could be obtained for macrovesicular steatosis (κ = 0.775), inflammation (κ = 0.763), necrosis (κ = 0.643), and steatohepatitis (κ = 0.643). Levels of agreement were moderate for microvesicular steatosis (κ = 0.563). The strength of agreement between frozen sections and FCM was superior to the comparison of conventional HE and FCM imaging. We introduce FCM as a potential alternative to the frozen section that may represent a novel approach to liver transplant pathology where timely feedback is crucial and the deployment of human resources is becoming increasingly difficult.

Indexed as

Fatty LiverLiver TransplantationBiopsyHumansLiving DonorsMicroscopy, ConfocalProspective Studies

Identifiers

PMID37016761
OpenAlexW4362601517

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.