Evidence map›Paper›PMID 38712682›Full record

ArticleOrthodontics & craniofacial research2024

Mixed reality-based technology to visualize and facilitate treatment planning of impacted teeth: Proof of concept.

Piotr S Fudalej, Agnieszka Garlicka, Damian Dołęga-Dołegowski, Magda Dołęga-Dołegowska, Klaudia Proniewska, Iva Voborna, Ivana Dubovska

Abstract read
In one paragraph

Article in Orthodontics & craniofacial research, 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
–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.

Piotr S FudalejDepartment of Orthodontics, Jagiellonian University Medical College, Jagiellonian University in Cracow, Krakow, Poland.
Agnieszka GarlickaDepartment of Orthodontics, Jagiellonian University Medical College, Jagiellonian University in Cracow, Krakow, Poland.
Damian Dołęga-DołegowskiJagiellonian University Medical College, Jagiellonian University in Cracow, Krakow, Poland.
Magda Dołęga-DołegowskaJagiellonian University Medical College, Jagiellonian University in Cracow, Krakow, Poland.
Klaudia ProniewskaJagiellonian University Medical College, Jagiellonian University in Cracow, Krakow, Poland.
Iva VobornaFaculty of Medicine and Dentistry, Institute of Dentistry and Oral Sciences, Palacký University Olomouc, Olomouc, Czech Republic.
Ivana DubovskaFaculty of Medicine and Dentistry, Institute of Dentistry and Oral Sciences, Palacký University Olomouc, Olomouc, Czech Republic.ORCID https://orcid.org/0000-0003-1881-6844

Funding

Erasmus+ 2020-1-PL01-KA203-HE-082077
6 · The paper itself

Abstract

objectiveWe propose a method utilizing mixed reality (MR) goggles (HoloLens 2, Microsoft) to facilitate impacted canine alignment, as planning the traction direction and force delivery could benefit from 3D data visualization using mixed reality (MR).

methodsCone-beam CT scans featuring isometric resolution and low noise-to-signal ratio were semi-automatically segmented in Inobitec software. The exported 3D mesh (OBJ file) was then optimized for the HoloLens 2. Using the Unreal Engine environment, we developed an application for the HoloLens 2, implementing HoloLens SDK and UX Tools. Adjustable pointers were added for planning attachment placement, traction direction, and point of force application. The visualization was presented to participants of a course on impacted teeth treatment, followed by a 10-question survey addressing potential advantages (5-point scale: 1 = totally agree, 5 = totally disagree).

resultsOut of 38 respondents, 44.7% were orthodontists, 34.2% dentists, 15.8% dental students, and 5.3% dental technicians. Most respondents (44.7%) were between 35 and 44 years old, and only 1 (2.6%) respondent was 55-64 years old. Median answers for six questions were 'totally agree' (25th percentile 1, 75th percentile 2) and for four questions 'agree' (25th percentile 1, 75th percentile 2). No correlation was found between age, profession, and responses.

conclusionOur method generated substantial interest among clinicians. The initial responses affirm the potential benefits, supporting the continued exploration of MR-based techniques for the treatment of impacted teeth. However, the recommendation for widespread use awaits validation through clinical trials.

Indexed as

Cone-Beam Computed TomographyImaging, Three-DimensionalPatient Care PlanningTooth, ImpactedAdultAugmented RealityCuspidFemaleHumansMaleProof of Concept StudySoftwareARHoloLens 2 gogglesimpacted caninemixed virtual realityVR

Identifiers

PMID38712682
PMCPMC11654352

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.