Evidence map›Paper›PMID 40117037›Full record

Article3D printing in medicine2025

Microsoft HoloLens 2 vs. tablet-based augmented reality and 3D printing for fronto-orbital reconstruction of craniosynostosis: a case study.

Alicia Pose-Díez-de-la-Lastra, Mónica García-Sevilla, Austin Tapp, Manuel Tousidonis, Juan-Vicente Darriba-Alles, Marius George Linguraru, Javier Pascau, Santiago Ochandiano

Abstract read
In one paragraph

Article in 3D printing in medicine, 2025. 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. Review
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.

Alicia Pose-Díez-de-la-LastraDepartamento de Bioingeniería, Universidad Carlos III de Madrid, Leganés, 28911, Spain.
Mónica García-SevillaDepartamento de Bioingeniería, Universidad Carlos III de Madrid, Leganés, 28911, Spain.
Austin TappSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA.
Manuel TousidonisInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, 28007, Spain.
Juan-Vicente Darriba-AllesInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, 28007, Spain.
Marius George LinguraruSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA.
Javier PascauDepartamento de Bioingeniería, Universidad Carlos III de Madrid, Leganés, 28911, Spain. jpascau@ing.uc3m.es.
Santiago OchandianoInstituto de Investigación Sanitaria Gregorio Marañón, Madrid, 28007, Spain.

Funding

European Union "NextGenerationEU"/PRTR TED2021-132200B-I00Instituto de Salud Carlos III PI22/00601Instituto de Salud Carlos III, Asociación Española Contra el Cáncer AC20/00102 PerPlanRTMCIN/AEI/10.13039/501100011033 TED2021-132200B-I00
6 · The paper itself

Abstract

backgroundCraniosynostosis is a congenital condition characterized by the premature fusion of cranial sutures, leading to potential complications such as abnormal skull growth, increased intracranial pressure, and cognitive delays. Traditionally, open cranial vault reconstruction (OCVR) has been used to treat this condition. However, it is highly subjective and greatly dependent on the surgeon's expertise, which can lead to residual deformities and the need for reoperation. Effective preoperative planning can greatly improve surgical outcomes, although the major challenge is accurately translating this plan into the clinical setting. Recently, augmented reality (AR) and 3D printing have emerged as promising technologies to facilitate this endeavor. In this work, we propose three alternatives, leveraging these technologies, to guide the precise repositioning of remodeled bone fragments in the patient.

methodsThe three guidance methods are AR on a tablet, AR with Microsoft HoloLens 2, and 3D-printed spacers. The accuracy of each method was assessed by measuring the deviation of each bone fragment from the virtual surgical plan (VSP) in a simulated environment using 3D-printed phantoms based on a 14-month-old boy with trigonocephaly. The same assessment was also performed during his actual surgery.

resultsAll three guidance methods demonstrated similar levels of accuracy, with mean placement errors below 1 mm in all cases. The AR systems allowed for real-time adjustments, enhancing precision. Statistical analysis showed no significant differences in error rates between the different methods or attempts.

conclusionsIntegrating AR and 3D printing into craniosynostosis surgery holds great potential for improving OCVR. While 3D-printed spacers are useful when digital technologies are unavailable, AR-based methods provide more comprehensive guidance. Nevertheless, our study suggests that the choice may depend more on the specific clinical context, user-specific skills, and available resources rather than on a clear superiority of one method over the others.

Indexed as

Augmented realityComputer-assisted interventionsCraniosynostosisMicrosoft HoloLens 2Surgical guidanceTracking

Identifiers

PMID40117037
PMCPMC11927182

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LicenceCC BY-NC-ND
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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.