Evidence map›Paper›PMID 38863654›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering

Development of an augmented reality system for tracheal intubation guidance of airway management.

Grace T Fei, Aimee W Guo, Timothy Booth, Edgar Kiss, Rami R Hallac, Andrew Anderson, Zhiyue J Wang

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering. 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
–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

1 citing paper in PubMed.

  1. Article
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.

Grace T FeiLiberty High School, Frisco, Texas.
Aimee W GuoThe Hockaday School, Dallas, Texas.
Timothy BoothDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas.
Edgar KissDepartment of Anesthesiology, University of Texas Southwestern Medical Center, Dallas, Texas.
Rami R HallacDepartment of Surgery, University of Texas Southwestern Medical Center and Children's Health, Dallas, Texas.
Andrew AndersonDepartment of Radiology, Children's Health, Dallas, Texas.
Zhiyue J WangDepartment of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas.

Funding

ACADEMIC-INDUSTRIAL PARTNERSHIP FOR TRANSLATION OF PET/TRUS GUIDED INTERVENTIONR01CA204254 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2017 to 2021
$2.0M
Correction of B0 inhomogeneity Induced by Orthodontic Appliances in MRIR21DE023916 · NIDCR · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, ZHIYUE J · 2015 to 2016
$347k
NCI NIH HHS R01 CA204254NIDCR NIH HHS R21 DE023916
6 · The paper itself

Abstract

Tracheal intubation is a crucial procedure performed in airway management to sustain life during various procedures. However, difficult airways can make intubation challenging, which is associated with increased mortality and morbidity. This is particularly important for children who undergo intubation where the situation is difficult. Improved airway management will decrease incidences of repeated attempts, decrease hypoxic injuries in patients, and decrease hospital stays, resulting in better clinical outcomes and reduced costs. Currently, 3D printed models based on CT scans and ultrasound-guided intubation are being used or tested for device fitting and procedure guidance to increase the success rate of intubation, but both have limitations. Maintaining a 3D printing facility can be logistically inconvenient, and it can be time consuming and expensive. Ultrasound-guided intubation can be hindered by operator dependence, limited two-dimensional visualization, and potential artifacts. In this study, we developed an augmented reality (AR) system that allows the overlay of intubation tools and internal airways, providing real-time guidance during the procedure. A child manikin was used to develop and test the AR system. Three-dimensional CT images were acquired from the manikin. Different tissues were segmented to generate the 3D models that were imported into Unity to build the holograms. Phantom experiments demonstrated the AR-guided system for potential applications in tracheal intubation guidance.

Indexed as

airway managementAugmented reality (AR)image-guided interventiontracheal intubationuser interface

Identifiers

PMID38863654
PMCPMC11166008

What OpenQuestion holds

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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.