Evidence map›Paper›PMID 41867658›Full record

ArticleHealth science reports2025

Markerless Augmented Reality Guidance System for Maxillofacial Surgery: An Omnidirectional Tracking Method.

Ewald Ury, Wouter De Vos, Viktor Vörös, Emmanuel Vander Poorten, Elke Van de Casteele, Carlos Rodriguez-Guerrero

Abstract read
In one paragraph

Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ewald UryDepartment of Mechanical Engineering KU Leuven Leuven Belgium.ORCID 0009-0000-4113-5823
Wouter De VosDepartment of Cranio-Maxillofacial Surgery Antwerp University Hospital Edegem Belgium.
Viktor VörösDepartment of Mechanical Engineering KU Leuven Leuven Belgium.
Emmanuel Vander PoortenDepartment of Mechanical Engineering KU Leuven Leuven Belgium.
Elke Van de CasteeleDepartment of Cranio-Maxillofacial Surgery Antwerp University Hospital Edegem Belgium.ORCID 0000-0003-0395-3002
Carlos Rodriguez-GuerreroDepartment of Mechanical Engineering KU Leuven Leuven Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Surgeons still face challenges in transposing preoperatively planned osteotomies to the operating room for accurate navigation. Current cutting guide methods in maxillofacial surgery are costly, time-consuming, and invasive. Methods: This study introduces a novel markerless AR guidance system to replace physical cutting guides with digital holographic guides. Microsoft HoloLens 2 was used to track the patient's mandible in real-time without markers, providing automatic alignment. This approach allowed detection from any angle and remained reliable even when parts of the mandible were obstructed. Accuracy was assessed by measuring hologram registration errors, and usability was compared with the clinical gold standard, calculated using an EM sensor in an in-vitro study with eight surgeons. Results: The system achieved an average registration error of under 1.40 mm and a precision of 1.15 mm when measured against the clinical gold standard. Conclusion: The AR system provides a promising, less invasive, cost-effective alternative to traditional cutting guides in maxillofacial surgery, enhancing precision and efficiency.

Indexed as

augmented realityautomatic registrationmarkerless trackingmaxillofacial surgeryMicrosoft HoloLens 2surgical navigation

Identifiers

PMID41867658
PMCPMC13001677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.