Evidence map›Paper›PMID 32753621›Full record

ArticleScientific reports2020

X-ray microtomography is a novel method for accurate evaluation of small-bowel mucosal morphology and surface area.

Johannes Virta, Markus Hannula, Ilmari Tamminen, Katri Lindfors, Katri Kaukinen, Alina Popp, Juha Taavela, Päivi Saavalainen, Pauliina Hiltunen, Jari Hyttinen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  12. 3D-Non-destructive Imaging through Heavy-Metal Eosin Salt Contrast Agents.Chemistry (Weinheim an der Bergstrasse, Germany) · 2021
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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

11 authors at 7 institutions in 2 countries.

Johannes VirtaCenter for Child Health Research, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
Markus HannulaComputational Biophysics and Imaging Group, The Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Ilmari TamminenComputational Biophysics and Imaging Group, The Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Katri LindforsCeliac Disease Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Katri KaukinenCeliac Disease Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Alina PoppCarol Davila University of Medicine and Pharmacy, and Alessandrescu-Rusescu National Institute for Mother and Child Health, Bucharest, Romania.
Juha TaavelaCentral Finland Central Hospital, Jyväskylä, Finland.
Päivi SaavalainenDepartment of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland.
Pauliina HiltunenCenter for Child Health Research, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland.
Jari HyttinenComputational Biophysics and Imaging Group, The Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Kalle KurppaCenter for Child Health Research, Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520, Tampere, Finland. kalle.kurppa@tuni.fi.
Tampere University · FICarol Davila University of Medicine and Pharmacy · ROCentral Finland Health Care District · FISeinäjoki University of Applied Sciences · FITampere University · FITampere University Hospital · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The often poorly orientated small-bowel mucosal biopsies taken for the diagnostics of celiac disease and other intestinal disorders are prone to misinterpretation. Furthermore, conventional histopathology has suboptimal sensitivity for early histopathological changes observed in short-term challenge studies. X-ray microtomography (micro-CT) is a promising new method for accurate imaging of human-derived biological samples. Here, we report that micro-CT could be utilized to create virtual reconstructions of endoscopically obtained intestinal biopsies. The formed digital 3D images enabled selection of always optimal cutting angles for accurate measurement of the mucosal damage and revealed diagnostic lesions in cases interpreted as normal with conventional histomorphometry. We also demonstrate that computer-assisted point cloud analysis can be used to calculate biologically meaningful surface areas of the biopsies in different stages of mucosal damage with excellent replicability and correlation with other disease parameters. We expect the improved diagnostic accuracy and capability to measure the surface areas to provide a powerful tool for the diagnostics of intestinal diseases and for future clinical and pharmaceutical trials.

Indexed as

AdultAgedBiopsyCase-Control StudiesCeliac DiseaseEndoscopy, GastrointestinalFemaleHumansImaging, Three-DimensionalIntestine, SmallMaleMiddle AgedRadiographic Image Interpretation, Computer-AssistedSensitivity and SpecificityX-Ray Microtomography

Identifiers

PMID32753621
PMCPMC7403326
OpenAlexW3047278150

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.