Evidence map›Paper›PMID 31332205›Full record

ArticleScientific reports2019

Effect of the software binning and averaging data during microcomputed tomography image acquisition.

Simone Peixe Friedrichsdorf, Victor Elias Arana-Chavez, Paolo Maria Cattaneo, Rubens Spin-Neto, Gladys Cristina Dominguez

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Simone Peixe FriedrichsdorfDepartment of Orthodontics and Pediatric Dentistry, School of Dentistry, University of São Paulo (USP), São Paulo, Brazil. simone.peixe@usp.br.
Victor Elias Arana-ChavezDepartment of Biomaterials and Oral Biology, School of Dentistry, University of São Paulo (USP), São Paulo, Brazil.
Paolo Maria CattaneoDepartment of Dentistry and Oral Health, Section of Orthodontics, Aarhus University, Aarhus C, Denmark.
Rubens Spin-NetoDepartment of Dentistry and Oral Health, Section for Oral Radiology, Aarhus University, Aarhus C, Denmark.
Gladys Cristina DominguezDepartment of Orthodontics and Pediatric Dentistry, School of Dentistry, University of São Paulo (USP), São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study describes the effect of the software binning and data averaging during micro CT volume acquisition, on the assessment of root resorption volumes. The mesial roots (n = 9), after orthodontic tooth movement during 14 days, were scanned, using a micro CT system (9 µm/pixel). All roots were reconstructed and the volumes of the resorption lacunae evaluated. The height and width of the pixels vary according to the parameters (A1, A2, A3, A4, A5, A6, A7, A8, A9) used during the scan. In the root #1 the mean volumes of resorption were similar in A4 and A7; in the root #2 there was no similarity in the mean volumes of resorption in any of the parameters; in root #3 only A4 presented mean volume different from zero (3.05 × 10°). In the root #5, the A1 and A7 presented similar mean volumes and in the A6 and A9 presented near mean volumes. In the root #9 the A1, A4, and A7 presented similar mean volumes and A6 and A9 also had similar mean volumes. Significant difference was detected in the volume of resorption among the roots #2, #5 and #9 (p = 0.04). When analyzing delicate structures such as the roots of rats' molars, the variation of such parameters will significantly influence the results.

Identifiers

PMID31332205
PMCPMC6646350

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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.