Evidence map›Paper›PMID 38927861›Full record

ArticleBioengineering (Basel, Switzerland)2024

Augmented Reality-Guided Extraction of Fully Impacted Lower Third Molars Based on Maxillofacial CBCT Scans.

Marcus Rieder, Bernhard Remschmidt, Christina Gsaxner, Jan Gaessler, Michael Payer, Wolfgang Zemann, Juergen Wallner

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Review
  6. 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.

Marcus RiederDivision of Oral and Maxillofacial Surgery, Department of Dental Medicine and Oral Health, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0003-4412-9589
Bernhard RemschmidtDivision of Oral and Maxillofacial Surgery, Department of Dental Medicine and Oral Health, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0002-0408-5991
Christina GsaxnerInstitute of Computer Graphics and Vision, Graz University of Technology, 8010 Graz, Austria.ORCID 0000-0002-2227-3523
Jan GaesslerDivision of Oral and Maxillofacial Surgery, Department of Dental Medicine and Oral Health, Medical University of Graz, 8036 Graz, Austria.
Michael PayerDivision of Oral Surgery and Orthodontics, Department of Dental Medicine and Oral Health, Medical University of Graz, 8010 Graz, Austria.
Wolfgang ZemannDivision of Oral and Maxillofacial Surgery, Department of Dental Medicine and Oral Health, Medical University of Graz, 8036 Graz, Austria.
Juergen WallnerDivision of Oral and Maxillofacial Surgery, Department of Dental Medicine and Oral Health, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0001-6455-8212

Funding

Austrian Science Fund KLI 1044
6 · The paper itself

Abstract

(1) Background: This study aimed to integrate an augmented reality (AR) image-guided surgery (IGS) system, based on preoperative cone beam computed tomography (CBCT) scans, into clinical practice. (2) Methods: In preclinical and clinical surgical setups, an AR-guided visualization system based on Microsoft's HoloLens 2 was assessed for complex lower third molar (LTM) extractions. In this study, the system's potential intraoperative feasibility and usability is described first. Preparation and operating times for each procedure were measured, as well as the system's usability, using the System Usability Scale (SUS). (3) Results: A total of six LTMs (

Indexed as

augmented realitycomputer-assistedcone beam computed tomographymolaroral surgical proceduresurgerythirdtooth extraction

Identifiers

PMID38927861
PMCPMC11200966

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.