Evidence map›Paper›PMID 31125553›Full record

ArticleThe American journal of pathology2019

X-ray Micro-Computed Tomography for Nondestructive Three-Dimensional (3D) X-ray Histology.

Orestis L Katsamenis, Michael Olding, Jane A Warner, David S Chatelet, Mark G Jones, Giacomo Sgalla, Bennie Smit, Oliver J Larkin, Ian Haig, Luca Richeldi and 3 more

Open access · hybridAbstract read
In one paragraph

Article in The American journal of pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Loss ofiScience · 2026
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  19. The potential of x-ray virtual histology in the diagnosis of skin tumors.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  20. 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

13 authors at 4 institutions in 1 country.

Orestis L Katsamenisμ-VIS X-ray Imaging Centre, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, United Kingdom. Electronic address: o.katsamenis@soton.ac.uk.
Michael OldingBiomedical Imaging Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Jane A WarnerSchool of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
David S ChateletBiomedical Imaging Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Mark G JonesSchool of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; National Institute for Health Research Respiratory Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom.
Giacomo SgallaNational Institute for Health Research Respiratory Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom.
Bennie SmitNikon X-Tek Systems Ltd., Tring, United Kingdom.
Oliver J LarkinNikon X-Tek Systems Ltd., Tring, United Kingdom.
Ian HaigNikon X-Tek Systems Ltd., Tring, United Kingdom.
Luca RicheldiNational Institute for Health Research Respiratory Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom.
Ian Sinclairμ-VIS X-ray Imaging Centre, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, United Kingdom; Engineering Materials Research Group, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, United Kingdom.
Peter M LackieBiomedical Imaging Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom; School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Philipp Schneiderμ-VIS X-ray Imaging Centre, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, United Kingdom; Bioengineering Science Research Group, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, United Kingdom. Electronic address: p.schneider@soton.ac.uk.
University of Southampton · GBNikon (United Kingdom) · GBNational Institute for Health Research · GBUniversity Hospital Southampton NHS Foundation Trust · GB

Funding

Wellcome Trust WT109682MA
6 · The paper itself

Abstract

Historically, micro-computed tomography (μCT) has been considered unsuitable for histologic analysis of unstained formalin-fixed, paraffin-embedded soft tissue biopsy specimens because of a lack of image contrast between the tissue and the paraffin. However, we recently demonstrated that μCT can successfully resolve microstructural detail in routinely prepared tissue specimens. Herein, we illustrate how μCT imaging of standard formalin-fixed, paraffin-embedded biopsy specimens can be seamlessly integrated into conventional histology workflows, enabling nondestructive three-dimensional (3D) X-ray histology, the use and benefits of which we showcase for the exemplar of human lung biopsy specimens. This technology advancement was achieved through manufacturing a first-of-kind μCT scanner for X-ray histology and developing optimized imaging protocols, which do not require any additional sample preparation. 3D X-ray histology allows for nondestructive 3D imaging of tissue microstructure, resolving structural connectivity and heterogeneity of complex tissue networks, such as the vascular network or the respiratory tract. We also demonstrate that 3D X-ray histology can yield consistent and reproducible image quality, enabling quantitative assessment of a tissue's 3D microstructures, which is inaccessible to conventional two-dimensional histology. Being nondestructive, the technique does not interfere with histology workflows, permitting subsequent tissue characterization by means of conventional light microscopy-based histology, immunohistochemistry, and immunofluorescence. 3D X-ray histology can be readily applied to a plethora of archival materials, yielding unprecedented opportunities in diagnosis and research of disease.

Indexed as

Imaging, Three-DimensionalX-Ray MicrotomographyHumansLungLung Diseases

Identifiers

PMID31125553
PMCPMC6680277
OpenAlexW2944987242

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.