Evidence map›Paper›PMID 39523443›Full record

ArticleNPJ digital medicine2024

Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial.

Yao Li, Sergey Drobinsky, Paulina Becker, Kunpeng Xie, Myriam Lipprandt, Christian Andreas Mueller, Jan Egger, Frank Hölzle, Rainer Röhrig, Klaus Radermacher and 2 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

12 authors.

Yao LiDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany.ORCID http://orcid.org/0009-0008-8058-8364
Sergey DrobinskyChair of Medical Engineering, RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0001-9616-8673
Paulina BeckerDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany.ORCID http://orcid.org/0009-0003-2832-9908
Kunpeng XieDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany.ORCID http://orcid.org/0009-0005-8678-6300
Myriam LipprandtInstitute of Medical Informatics, University Hospital RWTH Aachen, Aachen, Germany.ORCID http://orcid.org/0000-0001-9371-0551
Christian Andreas MuellerDepartment of Neurosurgery, University Hospital RWTH Aachen, Aachen, Germany.
Jan EggerInstitute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.ORCID http://orcid.org/0000-0002-5225-1982
Frank HölzleDepartment of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany.ORCID http://orcid.org/0000-0002-2298-3517
Rainer RöhrigInstitute of Medical Informatics, University Hospital RWTH Aachen, Aachen, Germany.ORCID http://orcid.org/0000-0002-0032-5118
Klaus RadermacherChair of Medical Engineering, RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0003-4395-3197
Matías de la Fuente *Chair of Medical Engineering, RWTH Aachen University, Aachen, Germany.ORCID http://orcid.org/0000-0002-7911-155X
Behrus Puladi *Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Aachen, Germany. bpuladi@ukaachen.de.ORCID http://orcid.org/0000-0001-5909-6105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional navigation systems (CNS) in surgery require strong spatial cognitive abilities and hand-eye coordination. Augmented Reality Navigation Systems (ARNS) provide 3D guidance and may overcome these challenges, but their accuracy and efficiency compared to CNS have not been systematically evaluated. In this randomized crossover study with 36 participants from different professional backgrounds (surgeons, students, engineers), drilling accuracy, time and perceived workload were evaluated using ARNS and CNS. For the first time, this study provides compelling evidence that ARNS and CNS have comparable accuracy in translational error. Differences in angle and depth error with ARNS were likely due to limited stereoscopic vision, hardware limitations, and design. Despite this, ARNS was preferred by most participants, including surgeons with prior navigation experience, and demonstrated a significantly better overall user experience. Depending on accuracy requirements, ARNS could serve as a viable alternative to CNS for guided drilling, with potential for future optimization.

Identifiers

PMID39523443
PMCPMC11551163

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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.