Evidence map›Paper›PMID 34012032›Full record

ArticleScientific reports2021

Asbestos bodies count and morphometry in bulk lung tissue samples by non-invasive X-ray micro-tomography.

Fabrizio Bardelli, Francesco Brun, Silvana Capella, Donata Bellis, Claudia Cippitelli, Alessia Cedola, Elena Belluso

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. 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
0.6field-weighted citation impact, top 32% 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. [Asbestos: detection and characterization in tissue].Pathologie (Heidelberg, Germany) · 2024
    Review
  2. 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

7 authors at 5 institutions in 1 country.

Fabrizio BardelliInstitute of Nanotechnology, CNR-Nanotec, Roma, Italy. fabrizio.bardelli@gmail.com.
Francesco BrunDepartment of Engineering and Architecture, University of Trieste, Trieste, Italy.
Silvana CapellaDepartment of Earth Sciences, University of Torino, Torino, Italy.
Donata BellisInterdepartmental Centre for the Study of Asbestos and Other Toxic Particulate, University of Torino, Torino, Italy.
Claudia CippitelliDivision of Respiratory Diseases, Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, Sapienza University, Roma, Italy.
Alessia CedolaInstitute of Nanotechnology, CNR-Nanotec, Roma, Italy.
Elena BellusoDepartment of Earth Sciences, University of Torino, Torino, Italy.
University of Turin · ITIstituto di Nanotecnologia · ITIstituto Nanoscienze · ITOspedale degli Infermi · ITUniversity of Trieste · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of the Asbestos Bodies (AB), i.e. asbestos that developed an iron-protein coating during its permanence in biological tissues, is one of the most accessible markers of asbestos exposure in individuals. The approaches developed to perform AB count in biological tissues are based on the manual examination of tissue digests or histological sections by means of light or electron microscopies. Although these approaches are well established and relatively accessible, manual examination is time-consuming and can be reader-dependent. Besides, approximations are applied because of the limitations of 2D readings and to speed up manual counts. In addition, sample preparation using tissue digests require an amount of tissue that can only be obtained by invasive surgery or post-mortem sampling. In this paper, we propose a new approach to AB counting based on non-destructive 3D imaging, which has the potential to overcome most of the limitations of conventional approaches. This method allows automating the AB count and determining their morphometry distribution in bulk tissue samples (ideally non-invasive needle biopsies), with minimal sample preparation and avoiding approximations. Although the results are promising, additional testing on a larger number of AB-containing biological samples would be required to fully validate the method.

Indexed as

Aged, 80 and overAsbestosFemaleHumansImaging, Three-DimensionalLungMaleX-Ray MicrotomographyAsbestos

Identifiers

PMID34012032
PMCPMC8136473
OpenAlexW3162536120

What OpenQuestion holds

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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.