Evidence map›Paper›PMID 38390355›Full record

ArticleJPRAS open2024

"Utility of Smartphone-based Three-dimensional Surface Imaging for Digital Facial Anthropometry".

Robin Hartmann, Felix Nieberle, Christoph Palm, Vanessa Brébant, Lukas Prantl, Reinald Kuehle, Torsten E Reichert, Juergen Taxis, Tobias Ettl

Abstract read
In one paragraph

Article in JPRAS open, 2024. 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.

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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

9 authors.

Robin HartmannUniversity Hospital Regensburg Clinic and Polyclinic for Oral and Maxillofacial Surgery, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Felix NieberleUniversity Hospital Regensburg Clinic and Polyclinic for Oral and Maxillofacial Surgery, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Christoph PalmRegensburg Medical Image Computing (ReMIC), Ostbayerische Technische Hochschule Regensburg (OTH Regensburg), Galgenbergstr. 32, 93053, Regensburg.
Vanessa BrébantUniversity Center of Plastic, Aesthetic, Hand and Reconstructive Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany.
Lukas PrantlUniversity Center of Plastic, Aesthetic, Hand and Reconstructive Surgery, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany.
Reinald KuehleUniversity of Heidelberg, Department of Oral and Maxillofacial Surgery, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
Torsten E ReichertUniversity Hospital Regensburg Clinic and Polyclinic for Oral and Maxillofacial Surgery, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Juergen TaxisUniversity Hospital Regensburg Clinic and Polyclinic for Oral and Maxillofacial Surgery, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
Tobias EttlUniversity Hospital Regensburg Clinic and Polyclinic for Oral and Maxillofacial Surgery, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The utilization of three-dimensional (3D) surface imaging for facial anthropometry is a significant asset for patients undergoing maxillofacial surgery. Notably, there have been recent advancements in smartphone technology that enable 3D surface imaging.In this study, anthropometric assessments of the face were performed using a smartphone and a sophisticated 3D surface imaging system. Methods: 30 healthy volunteers (15 females and 15 males) were included in the study. An iPhone 14 Pro (Apple Inc., USA) using the application 3D Scanner App (Laan Consulting Corp., USA) and the Vectra M5 (Canfield Scientific, USA) were employed to create 3D surface models. For each participant, 19 anthropometric measurements were conducted on the 3D surface models. Subsequently, the anthropometric measurements generated by the two approaches were compared. The statistical techniques employed included the paired t-test, paired Wilcoxon signed-rank test, Bland-Altman analysis, and calculation of the intraclass correlation coefficient (ICC). Results: All measurements showed excellent agreement between smartphone-based and Vectra M5-based measurements (ICC between 0.85 and 0.97). Statistical analysis revealed no statistically significant differences in the central tendencies for 17 of the 19 linear measurements. Despite the excellent agreement found, Bland-Altman analysis revealed that the 95% limits of agreement between the two methods exceeded ±3 mm for the majority of measurements. Conclusion: Digital facial anthropometry using smartphones can serve as a valuable supplementary tool for surgeons, enhancing their communication with patients. However, the proposed data suggest that digital facial anthropometry using smartphones may not yet be suitable for certain diagnostic purposes that require high accuracy.

Indexed as

Digital anthropometryFacial anthropometryMaxillofacial surgerySmartphone-based surface imagingStereophotogrammetryThree-dimensional surface imaging

Identifiers

PMID38390355
PMCPMC10882018

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LicenceCC BY-NC-ND
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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.