Evidence map›Paper›PMID 29362427›Full record

ArticleScientific reports2018

3D virtual histology of murine kidneys -high resolution visualization of pathological alterations by micro computed tomography.

Jeannine Missbach-Guentner, Diana Pinkert-Leetsch, Christian Dullin, Roser Ufartes, Daniel Hornung, Bjoern Tampe, Michael Zeisberg, Frauke Alves

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
9.8field-weighted citation impact, top 2% 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

32 citing papers in PubMed, 60 citations in OpenAlex.

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  10. Engineering the future of 3D pathology.The journal of pathology. Clinical research · 2024
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  11. Review
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  13. 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
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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

8 authors at 4 institutions in 2 countries.

Jeannine Missbach-GuentnerInstitute of Diagnostic and Interventional Radiology, University Medical Center Goettingen, Robert Koch Str. 40, Goettingen, Lower Saxony, 37075, Germany. j.missbach@med.uni-goettingen.de.ORCID http://orcid.org/0000-0003-1033-8403
Diana Pinkert-LeetschInstitute of Diagnostic and Interventional Radiology, University Medical Center Goettingen, Robert Koch Str. 40, Goettingen, Lower Saxony, 37075, Germany.
Christian DullinInstitute of Diagnostic and Interventional Radiology, University Medical Center Goettingen, Robert Koch Str. 40, Goettingen, Lower Saxony, 37075, Germany.ORCID http://orcid.org/0000-0003-4297-8077
Roser UfartesTranslational Molecular Imaging, Max Planck Institute for Experimental Medicine, Hermann-Rein-Str. 3, Goettingen, Lower Saxony, 37075, Germany.
Daniel HornungGroup of Biomedical Physics, Max Planck Institute for Dynamics and Self-Organisation, Am Fassberg 17, Goettingen, Lower Saxony, 37075, Germany.
Bjoern TampeDepartment of Nephrology and Rheumatology, University Medical Center Goettingen, Robert Koch Str. 40, Goettingen, Lower Saxony, 37075, Germany.ORCID http://orcid.org/0000-0002-4357-9863
Michael ZeisbergDepartment of Nephrology and Rheumatology, University Medical Center Goettingen, Robert Koch Str. 40, Goettingen, Lower Saxony, 37075, Germany.
Frauke AlvesInstitute of Diagnostic and Interventional Radiology, University Medical Center Goettingen, Robert Koch Str. 40, Goettingen, Lower Saxony, 37075, Germany.
University of Göttingen · DEMax Planck Institute for Dynamics and Self-Organization · DEElettra-Sincrotrone Trieste S.C.p.A. · ITMax Planck Institute of Experimental Medicine · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing number of patients with end stage chronic kidney disease not only calls for novel therapeutics but also for pioneering research using convincing preclinical disease models and innovative analytical techniques. The aim of this study was to introduce a virtual histology approach using micro computed tomography (µCT) for the entire murine kidney in order to close the gap between single slice planar histology and a 3D high resolution dataset. An ex vivo staining protocol based on phosphotungstic acid diffusion was adapted to enhance renal soft tissue x-ray attenuation. Subsequent CT scans allowed (i) the detection of the renal cortex, medulla and pelvis in greater detail, (ii) the analysis of morphological alterations, (iii) the quantification of the volume as well as the radio-opacity of these portions and (iv) the quantification of renal fibrotic remodeling based on altered radio-opacity using the unilateral ureteral obstruction model. Thus, virtual histology based on PTA contrast enhanced CT will in future help to refine the outcome of preclinical research on kidney associated murine disease models.

Indexed as

AnimalsFemaleImaging, Three-DimensionalKidneyMaleMiceX-Ray Microtomography

Identifiers

PMID29362427
PMCPMC5780475
OpenAlexW2787469422

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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.