Evidence map›Paper›PMID 41608375›Full record

ArticleHealth science reports2026

Augmented Reality-Based Femur Registration With Head-Mounted Display and Infrared Tracking Device as Stand-Alone Navigation Tool: A Preclinical Validation Study.

Nicolas Himpe, Quentin Neuville, Taylor Frantz, Jef Vandemeulebroucke, Lieven Moke, Georges Vles, Stijn Ghijselings, Thierry Scheerlinck

Abstract read
In one paragraph

Article in Health science reports, 2026. 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

8 authors.

Nicolas HimpeDepartment of Orthopedic Surgery, Universitair Ziekenhuis Leuven Katholieke Universiteit Leuven Leuven Belgium.ORCID https://orcid.org/0009-0005-2859-8256
Quentin NeuvilleDepartment of Neurosurgery, Universitair Ziekenhuis Brussel Vrije Universiteit Brussel Brussels Belgium.ORCID https://orcid.org/0000-0002-4205-5312
Taylor FrantzDepartment of Electronics and Informatics (ETRO) Vrije Universiteit Brussel Brussels Belgium.ORCID https://orcid.org/0000-0002-9450-0529
Jef VandemeulebrouckeDepartment of Electronics and Informatics (ETRO) Vrije Universiteit Brussel Brussels Belgium.ORCID https://orcid.org/0000-0001-5714-3254
Lieven MokeDepartment of Orthopedic Surgery, Universitair Ziekenhuis Leuven Katholieke Universiteit Leuven Leuven Belgium.ORCID https://orcid.org/0000-0003-0500-2710
Georges VlesDepartment of Orthopedic Surgery, Universitair Ziekenhuis Leuven Katholieke Universiteit Leuven Leuven Belgium.ORCID https://orcid.org/0000-0002-0283-4864
Stijn GhijselingsDepartment of Orthopedic Surgery, Universitair Ziekenhuis Leuven Katholieke Universiteit Leuven Leuven Belgium.ORCID https://orcid.org/0000-0001-9993-9437
Thierry ScheerlinckDepartment of Orthopedic Surgery and Traumatology, Universitair Ziekenhuis Brussel Vrije Universiteit Brussel Brussels Belgium.ORCID https://orcid.org/0000-0003-1170-7389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: This study evaluated the accuracy of a standalone augmented reality (AR) navigation system using the Microsoft HoloLens 2 for total hip arthroplasty (THA). The system integrates infrared (IR) tracking and a preoperative 3D CT model for intraoperative visualization and guidance. The aim was to assess whether this AR-based solution could achieve clinically acceptable accuracy for use as a surgical navigation tool. Methods: A dedicated AR application was developed to perform six-degrees-of-freedom pose estimation using inside-out tracking. Registration accuracy was assessed using six femur replicas with predefined target points. The registration pipeline combined landmark-based initialization with iterative surface refinement. Target registration error (TRE) was calculated for each point, and the influence of anatomical region, axis, surgical approach (anterior vs. posterior), and user experience level was analyzed. Results: The system achieved a mean TRE of 3.61 ± 2.18 mm. Significant variations in accuracy were observed between anatomical regions ( Conclusion: The AR navigation system demonstrated consistent and accurate registration performance across users and approaches. With a mean TRE of ~3 mm, the system meets accuracy requirements for potential clinical application in THA. Further cadaveric validation is recommended to confirm surgical feasibility and applicability.

Indexed as

augmented realityhead‐mounted devicesurgical navigationtotal hip arthroplasty

Identifiers

PMID41608375
PMCPMC12838244

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Registered trials

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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.