Evidence map›Paper›PMID 39907325›Full record

ArticleBrazilian oral research2025

Application of artifact suppression algorithm of post-processing CBCT software in root canal filling materials.

Carlos Estrela, Mônica Misaé Endo, Mike Reis Bueno, Bruno Correa Azevedo, Daniel Almeida Decurcio, Lucas Rodrigues Araujo Estrela

Abstract readEvaluation Study
In one paragraph

Article in Brazilian oral research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

6 authors.

Carlos EstrelaUniversidade Federal de Goiás - UFG, School of Dentistry, Department of Stomatologic Science, Goiânia, GO, Brazil.ORCID http://orcid.org/0000-0002-1488-0366
Mônica Misaé EndoUniversidade Federal de Goiás - UFG, School of Dentistry, Department of Stomatologic Science, Goiânia, GO, Brazil.ORCID http://orcid.org/0000-0002-1769-8295
Mike Reis BuenoCROIF, Diagnostic Imaging Center, Cuiabá, MT, Brazil.ORCID http://orcid.org/0000-0003-2632-2094
Bruno Correa AzevedoOMFR Private Practice, Austin, TX, USA.ORCID http://orcid.org/0000-0002-4514-8768
Daniel Almeida DecurcioUniversidade Federal de Goiás - UFG, School of Dentistry, Department of Stomatologic Science, Goiânia, GO, Brazil.ORCID http://orcid.org/0000-0002-1219-8427
Lucas Rodrigues Araujo EstrelaUniversidade Estadual Paulista - Unesp, Department of Endodontics, Araçatuba, SP, Brazil.ORCID http://orcid.org/0000-0003-1244-4015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCone beam computed tomography (CBCT) is an imaging exam used increasingly in various fields of dentistry, and a greater number of endodontists are progressively gaining access to this technology. This study focused on applying an artifact suppression algorithm featured in CBCT software, and designed specifically to address artifacts related to root canal filling materials.

methodThe sample consisted of eighty-four mandibular molars, with mesial root canals endodontically treated by using the lateral condensation technique. Four root canal sealers were applied: G1 - Sealapex®, G2 - AH Plus®, G3 - Endofill®, and G4 - Bio-C Sealer. CBCT scans were taken using PreXion 3D Elite®. Initially, the diameter of the root canal filling (in the mesiodistal and buccolingual directions) was measured using a digital micrometer (control). Next, these diameters were reevaluated in the CBCT images using the blooming artifact reduction (BAR) tool of the e-Vol DX software. The Van der Waerden nonparametric analysis of variance was performed, followed by applying the Tukey test to the normalized data. The significance level was set at α = 5%.

resultsThere were no statistically significant differences (p>0.05) in the measurement of original root canal filling materials obtained by the micrometer versus the e-Vol DX software in the mesiodistal and buccolingual directions.

conclusionsThe tested software algorithm effectively suppressed artifacts resulting from obturation materials.

Indexed as

AlgorithmsArtifactsCone-Beam Computed TomographyRoot Canal Filling MaterialsSoftwareAnalysis of VarianceDental Pulp CavityEpoxy ResinsHumansImage Processing, Computer-AssistedMolarReference ValuesReproducibility of ResultsStatistics, NonparametricEpoxy ResinsRoot Canal Filling Materials

Identifiers

PMID39907325
PMCPMC11790072

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.