Evidence map›Paper›PMID 34930527›Full record

ArticleeLife2021

3D virtual histopathology of cardiac tissue from Covid-19 patients based on phase-contrast X-ray tomography.

Marius Reichardt, Patrick Moller Jensen, Vedrana Andersen Dahl, Anders Bjorholm Dahl, Maximilian Ackermann, Harshit Shah, Florian Länger, Christopher Werlein, Mark P Kuehnel, Danny Jonigk and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

27 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Quantitative Stain Mapping in X-Ray Virtual Histology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  7. Intussusceptive angiogenesis-on-a-chip: Evidence for transluminal vascular bridging by endothelial delamination.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Neodymium acetate as a contrast agent for X-ray phase-contrast tomography.Journal of medical imaging (Bellingham, Wash.) · 2023
    Article
  18. Three-dimensional analysis of human pancreatic cancer specimens by phase-contrast based X-ray tomography - the next dimension of diagnosis.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023
    Article
  19. Deep Survival Analysis With Clinical Variables for COVID-19.IEEE journal of translational engineering in health and medicine · 2023
    Article
  20. 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

11 authors at 4 institutions in 2 countries.

Marius ReichardtInstitut für Röntgenphysik, Georg-August-Universität Göttingen, Friedrich-Hund-Platz, Göttingen, Germany.
Patrick Moller JensenTechnical University of Denmark, Richard Petersens Plads, Kopenhagen, Denmark.
Vedrana Andersen DahlTechnical University of Denmark, Richard Petersens Plads, Kopenhagen, Denmark.
Anders Bjorholm DahlTechnical University of Denmark, Richard Petersens Plads, Kopenhagen, Denmark.
Maximilian AckermannInstitute of Anatomy and Cell Biology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.ORCID 0000-0001-9996-2477
Harshit ShahMedizinische Hochschule Hannover (MHH), Hannover, Germany.
Florian LängerMedizinische Hochschule Hannover (MHH), Hannover, Germany.
Christopher WerleinMedizinische Hochschule Hannover (MHH), Hannover, Germany.ORCID 0000-0002-7694-4257
Mark P KuehnelMedizinische Hochschule Hannover (MHH), Hannover, Germany.
Danny JonigkMedizinische Hochschule Hannover (MHH), Hannover, Germany.
Tim SaldittInstitut für Röntgenphysik, Georg-August-Universität Göttingen, Friedrich-Hund-Platz, Göttingen, Germany.ORCID 0000-0003-4636-0813
Medizinische Hochschule Hannover · DETechnical University of Denmark · DKUniversity of Göttingen · DEJohannes Gutenberg University Mainz · DE

Funding

Bundesministerium für Bildung und Forschung 05K19MG2Bundesministerium für Bildung und Forschung Max Planck School Matter to LifeDeutsche Forschungsgemeinschaft EXC 2067/1-390729940Deutsche Forschungsgemeinschaft KFO311 (project Z2)H2020 European Research Council 771883H2020 European Research Council XHaleH2020 European Research Council XHale,771883
6 · The paper itself

Abstract

For the first time, we have used phase-contrast X-ray tomography to characterize the three-dimensional (3d) structure of cardiac tissue from patients who succumbed to Covid-19. By extending conventional histopathological examination by a third dimension, the delicate pathological changes of the vascular system of severe Covid-19 progressions can be analyzed, fully quantified and compared to other types of viral myocarditis and controls. To this end, cardiac samples with a cross-section of 3.5mm were scanned at a laboratory setup as well as at a parallel beam setup at a synchrotron radiation facility the synchrotron in a parallel beam configuration. The vascular network was segmented by a deep learning architecture suitable for 3d datasets (V-net), trained by sparse manual annotations. Pathological alterations of vessels, concerning the variation of diameters and the amount of small holes, were observed, indicative of elevated occurrence of intussusceptive angiogenesis, also confirmed by high-resolution cone beam X-ray tomography and scanning electron microscopy. Furthermore, we implemented a fully automated analysis of the tissue structure in the form of shape measures based on the structure tensor. The corresponding distributions show that the histopathology of Covid-19 differs from both influenza and typical coxsackie virus myocarditis.

Indexed as

Artificial IntelligenceCOVID-19HeartHumansImaging, Three-DimensionalMyocarditisMyocardiumSARS-CoV-2SynchrotronsTomography, X-Ray Computedcardiac tissueCovid-19epidemiologyglobal healthhumanx-ray tomography

Identifiers

PMID34930527
PMCPMC8747495
OpenAlexW4225796798

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.