Evidence map›Paper›PMID 35694378›Full record

ArticlePeerJ2022

A semi-automatic three-dimensional technique using a regionalized facial template enables facial growth assessment in healthy children from 1.5 to 5.0 years of age.

Robin Bruggink, Frank Baan, Sander Brons, Tom G J Loonen, Anne Marie Kuijpers-Jagtman, Thomas J J Maal, Edwin M Ongkosuwito

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Robin BrugginkDepartment of Dentistry, Radboud University Medical Center, Nijmegen, The Netherlands.
Frank BaanDepartment of Dentistry, Radboud University Medical Center, Nijmegen, The Netherlands.
Sander BronsOrthodontie Merwestein, Nieuwegein, The Netherlands.
Tom G J LoonenRadboudumc 3D Lab, Radboud University Medical Center, Nijmegen, The Netherlands.
Anne Marie Kuijpers-JagtmanDepartment of Orthodontics, University Medical Center Groningen, Groningen, The Netherlands.
Thomas J J MaalRadboudumc 3D Lab, Radboud University Medical Center, Nijmegen, The Netherlands.
Edwin M OngkosuwitoDepartment of Dentistry, Radboud University Medical Center, Nijmegen, The Netherlands.
Radboud University Nijmegen · NLNieuwegein Fonds · NLUniversity of Indonesia · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To develop a semi-automatic technique to evaluate normative facial growth in healthy children between the age of 1.5 and 5.0 years using three-dimensional stereophotogrammetric images. Materials and Methods: Three-dimensional facial images of healthy children at 1.5, 2.0, 2.5, 3.0, 4.0 and 5.0 years of age were collected and positioned based on a reference frame. A general face template was used to extract the face and its separate regions from the full stereophotogrammetric image. Furthermore, this template was used to create a uniform distributed mesh, which could be directly compared to other meshes. Average faces were created for each age group and mean growth was determined between consecutive groups for the full face and its separate regions. Finally, the results were tested for intra- and inter-operator performance. Results: The highest growth velocity was present in the first period between 1.5 and 2.0 years of age with an average of 1.50 mm (±0.54 mm) per six months. After 2.0 years, facial growth velocity declined to only a third at the age of 5.0 years. Intra- and inter-operator variability was small and not significant. Conclusions: The results show that this technique can be used for objective clinical evaluation of facial growth. Example normative facial averages and the corresponding facial growth between the age 1.5 and 5.0 years are shown. Clinical Relevance: This technique can be used to collect and process facial data for objective clinical evaluation of facial growth in the individual patient. Furthermore, these data can be used as normative data in future comparative studies.

Indexed as

FaceImaging, Three-DimensionalChildChild, PreschoolHumansInfantPhotogrammetryDiagnostic imagingFacial growthImaging, Three-DimensionalMaxillofacial developmentOrthodonticsStereophotogrammetry

Identifiers

PMID35694378
PMCPMC9186324
OpenAlexW4281841365

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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.