Evidence map›Paper›PMID 29192356›Full record

ArticleProgress in orthodontics2017

Measuring 3D shape in orthodontics through geometric morphometrics.

Luis Huanca Ghislanzoni, Roberta Lione, Paola Cozza, Lorenzo Franchi

Abstract read
In one paragraph

Article in Progress in orthodontics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

4 authors.

Luis Huanca GhislanzoniDepartment of Orthodontics, University of Geneve, Geneve, Switzerland. dottor.acca@gmail.com.ORCID http://orcid.org/0000-0002-8445-8208
Roberta LioneDepartment of Orthodontics, University of Rome Tor Vergata, Rome, Italy.
Paola CozzaDepartment of Orthodontics, University of Rome Tor Vergata, Rome, Italy.
Lorenzo FranchiDepartment of Surgery and Translational Medicine, University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGeometric morphometrics (GMM) has been traditionally applied to the field of biology to study developmental differentiations between species. Orthodontics deals with the shape and size of the face and its components. While several tools have been used to measure size, proportions, and relations between anatomical components, shape has been mainly described by esthetic criteria. The purpose of this paper is to present methods to measure shape of 3D orthodontic data, beyond the conventional tools that have been traditionally used in cephalometrics and in facial and dental cast analysis.

findingsThe authors showcase an example of applying geometric morphometrics to measure palates from scanned dental casts. GMM can be used as a useful tool to describe the three-dimensional shape of surfaces of orthodontic interest. A general introduction to the theoretical principles of how to apply GMM is provided.

conclusionsVariability can be measured through the Principal Component Analysis (PCA) and can lead to the identification of shape patterns and sources of variability of the shape, independently from changes in size.

Indexed as

OrthodonticsAnatomic LandmarksCephalometryFaceHumansImaging, Three-DimensionalPalatePrincipal Component Analysis

Identifiers

PMID29192356
PMCPMC5709253

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Registered trials

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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.