Evidence map›Paper›PMID 39816699›Full record

ArticleHealthcare technology letters

Augmented reality navigation in orthognathic surgery: Comparative analysis and a paradigm shift.

Marek Żelechowski, Jokin Zubizarreta-Oteiza, Murali Karnam, Balázs Faludi, Norbert Zentai, Nicolas Gerig, Georg Rauter, Florian M Thieringer, Philippe C Cattin

Abstract read
In one paragraph

Article in Healthcare technology letters. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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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.

Marek ŻelechowskiCenter for medical Image Analysis & Navigation, Department of Biomedical Engineering University of Basel Basel Switzerland.ORCID https://orcid.org/0000-0003-3857-3173
Jokin Zubizarreta-OteizaMedical Additive Manufacturing Research Group, Department of Biomedical Engineering University of Basel Basel Switzerland.
Murali KarnamBio-Inspired RObots for MEDicine-Laboratory (BIROMED-lab), Department of Biomedical Engineering University of Basel Basel Switzerland.
Balázs FaludiCenter for medical Image Analysis & Navigation, Department of Biomedical Engineering University of Basel Basel Switzerland.
Norbert ZentaiCenter for medical Image Analysis & Navigation, Department of Biomedical Engineering University of Basel Basel Switzerland.
Nicolas GerigBio-Inspired RObots for MEDicine-Laboratory (BIROMED-lab), Department of Biomedical Engineering University of Basel Basel Switzerland.
Georg RauterBio-Inspired RObots for MEDicine-Laboratory (BIROMED-lab), Department of Biomedical Engineering University of Basel Basel Switzerland.
Florian M ThieringerMedical Additive Manufacturing Research Group, Department of Biomedical Engineering University of Basel Basel Switzerland.
Philippe C CattinCenter for medical Image Analysis & Navigation, Department of Biomedical Engineering University of Basel Basel Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of augmented reality (AR) in surgical procedures could significantly enhance accuracy and outcomes, particularly in the complex field of orthognathic surgery. This study compares the effectiveness and accuracy of traditional drilling guides with two AR-based navigation techniques: one utilizing ArUco markers and the other employing small-workspace infrared tracking cameras for a drilling task. Additionally, an alternative AR visualization paradigm for surgical navigation is proposed that eliminates the potential inaccuracies of image detection using headset cameras. Through a series of controlled experiments designed to assess the accuracy of hole placements in surgical scenarios, the performance of each method was evaluated both quantitatively and qualitatively. The findings reveal that the small-workspace infrared tracking camera system is on par with the accuracy of conventional drilling guides, hinting at a promising future where such guides could become obsolete. This technology demonstrates a substantial advantage by circumventing the common issues encountered with traditional tracking systems and surpassing the accuracy of ArUco marker-based navigation. These results underline the potential of this system for enabling more minimally invasive interventions, a crucial step towards enhancing surgical accuracy and, ultimately, patient outcomes. The study resulted in three relevant contributions: first, a new paradigm for AR visualization in the operating room, relying only on exact tracking information to navigate the surgeon is proposed. Second, the comparative analysis marks a critical step forward in the evolution of surgical navigation, paving the way for integrating more sophisticated AR solutions in orthognathic surgery and beyond. Finally, the system with a robotic arm is integrated and the inaccuracies present in a typical human-controlled system are evaluated.

Indexed as

augmented realitymedical robotics

Identifiers

PMID39816699
PMCPMC11730987

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.