Evidence map›Paper›PMID 38383430›Full record

ArticlePerioperative medicine (London, England)2024

Comparison of two 3D scanning software to identify facial features: a prospective instrument to predict difficult airway.

Alexander Rocuts, Bibiana Avella-Molano, Amanda Behr, Farhan Lakhani, Bryant Bolds, Matias Riveros-Amado, Efrain Riveros-Perez

Open access · goldAbstract read
In one paragraph

Article in Perioperative medicine (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Alexander RocutsDepartment of Anesthesiology and Perioperative Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Bibiana Avella-MolanoDepartment of Anesthesiology and Perioperative Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Amanda BehrCAHS - Department of Medical Illustration, Augusta University, Augusta, GA, USA.
Farhan LakhaniDepartment of Anesthesiology and Perioperative Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Bryant BoldsDepartment of Anesthesiology and Perioperative Medicine, Medical College of Georgia at Augusta University, Augusta, GA, USA.
Matias Riveros-AmadoLakeside High School, Evans, GA, USA.
Efrain Riveros-PerezDepartment of Anesthesiology and Perioperative Medicine, Outcomes Research Consortium, Cleveland Clinic, Medical College of Georgia at Augusta University, Augusta, GA, USA. eriverosperez@augusta.edu.
Augusta University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical airway assessment has limited predictive ability to anticipate difficult airway. Three-dimensional (3D) technologies have emerged in medicine as valuable tools in different settings including innovation and surgical planning. Three-dimensional facial scanning could add value to clinical measurements and two-dimensional models to assess the airway. However, commonly used high-fidelity scans are expensive. This study aims to compare the accuracy of the measurements made by the Scandy Pro app as a cost-effective alternative to high-fidelity scans made by the Artec Space Spider. We also aim to evaluate the interobserver variability for the measurements performed with Scandy Pro. MATERIALS AND

methodsWe conducted a cross-sectional, comparison study on 10 healthy volunteers. Four observers measured 720 distances and 400 using both Scandy Pro and Artec Space Spider facial scans. Wilcoxon test was used for group-group comparison.

resultsComparison of both instruments showed no difference in angle or distance measurements. The percentage error (measurement difference between the two devices) exhibited by one of the observers was significantly different compared with the other three observers; however, the magnitude of this individual deviation did not affect the overall percentage error. The overall error for Scandy Pro was 5.5% (3.9% and 6.7% for angles and distances, respectively).

conclusionThree-dimensional facial scanning with Scandy Pro is an accurate tool that can be a cost-effective alternative to high-fidelity scans produced by the Artec Space Spider.

Indexed as

Airway managementAnesthesiologyThree-dimensional imaging

Identifiers

PMID38383430
PMCPMC10882923
OpenAlexW4392774540

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.