Evidence map›Paper›PMID 28713426›Full record

ArticleInternational journal of dentistry2017

3D Morphology Analysis of TMJ Articular Eminence in Magnetic Resonance Imaging.

Izabella Nascimento Falcão, Maria Beatriz Carrazzone Cal Alonso, Lucas Hian da Silva, Sérgio Lúcio Pereira de Castro Lopes, Lívia Pichi Comar, André Luiz Ferreira Costa

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Article in International journal of dentistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Deep negative volume segmentation.Scientific reports · 2021
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  7. Observational
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.

Izabella Nascimento FalcãoDepartment of Orthodontics and Radiology, University of São Paulo City (UNICID), São Paulo, SP, Brazil.
Maria Beatriz Carrazzone Cal AlonsoDepartment of Orthodontics and Radiology, University of São Paulo City (UNICID), São Paulo, SP, Brazil.ORCID 0000-0002-4989-7811
Lucas Hian da SilvaDepartment of Orthodontics and Radiology, University of São Paulo City (UNICID), São Paulo, SP, Brazil.
Sérgio Lúcio Pereira de Castro LopesDepartment of Diagnosis and Surgery, São José dos Campos Dental School, São Paulo State University (UNESP), São José dos Campos, SP, Brazil.
Lívia Pichi ComarDepartment of Orthodontics and Radiology, University of São Paulo City (UNICID), São Paulo, SP, Brazil.
André Luiz Ferreira CostaDepartment of Orthodontics and Radiology, University of São Paulo City (UNICID), São Paulo, SP, Brazil.ORCID 0000-0003-4856-5417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of this study was to evaluate the computational reconstruction of the articular eminence of the temporomandibular joint (TMJ) based on magnetic resonance imaging (MRI) and semiautomatic volumetric segmentation techniques for morphological classification of the TMJ structure. MATERIALS AND

methodsA total of 36 MRI scans of TMJ individuals were selected and formatted by using the ITK-SNAP software, consisting of MRI segmentation and generation of 3D models. The TMJ articular eminences were also classified according to the morphology analysis of the articular eminence in 3D reconstructions. Two independent trained and calibrated investigators performed the image analysis, which was repeated after thirty days.

resultsThere was no association between sex and eminence shape (

conclusionsAnatomical variability of the sample investigated was found, with predominantly round shape and presence of correlation between this shape and normal disc position. The correlation of flattened and convex shapes with disc position reduction indicated that type of disc derangement is more prevalent.

Identifiers

PMID28713426
PMCPMC5497647

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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.