Evidence map›Paper›PMID 39292343›Full record

Article3D printing in medicine2024

Development and assessment of case-specific physical and augmented reality simulators for intracranial aneurysm clipping.

Lorenzo Civilla, Philippe Dodier, Maria Chiara Palumbo, Alberto C L Redaelli, Markus Koenigshofer, Ewald Unger, Torstein R Meling, Nikolay Velinov, Karl Rössler, Francesco Moscato

Abstract read
In one paragraph

Article in 3D printing in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

10 authors.

Lorenzo CivillaCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria.
Philippe DodierDepartment of Neurosurgery, Medical University Vienna, Vienna, Austria.
Maria Chiara PalumboDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Alberto C L RedaelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Markus KoenigshoferCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria.
Ewald UngerCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria.
Torstein R MelingDepartment of Neurosurgery, Rigshospitalet University Hospital, Copenhagen, Denmark.
Nikolay VelinovClinics of Neurosurgery, University Hospital Pirogov, Medical University of Sofia, Sofia, Bulgaria.
Karl RösslerDepartment of Neurosurgery, Medical University Vienna, Vienna, Austria.
Francesco MoscatoCenter for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20, Vienna, 1090, Austria. francesco.moscato@meduniwien.ac.at.

Funding

Austrian Research Promotion Agency (FFG) 858060Austria Wirtschaftsservice Gesellschaft mbH (aws) P2410019
6 · The paper itself

Abstract

backgroundMicrosurgical clipping is a delicate neurosurgical procedure used to treat complex Unruptured Intracranial Aneurysms (UIAs) whose outcome is dependent on surgeon's experience. Simulations are emerging as excellent complements to standard training, but their adoption is limited by the realism they provide. The aim of this study was to develop and validate a microsurgical clipping simulator platform.

methodsPhysical and holographic simulators of UIA clipping have been developed. The physical phantom consisted of a 3D printed hard skull and five (n = 5) rapidly interchangeable, perfused and fluorescence compatible 3D printed aneurysm silicone phantoms. The holographic clipping simulation included a real-time finite-element-model of the aneurysm sac, allowing interaction with a virtual clip and its occlusion. Validity, usability, usefulness and applications of the simulators have been assessed through clinical scores for aneurysm occlusion and a questionnaire study involving 14 neurosurgical residents (R) and specialists (S) for both the physical (

resultsThe physical simulator allowed to replicate successfully and accurately the patient-specific anatomy. UIA phantoms were manufactured with an average dimensional deviation from design of 0.096 mm and a dome thickness of 0.41 ± 0.11 mm. The holographic simulation executed at 25-50 fps allowing to gain unique insights on the anatomy and testing of the application of several clips without manufacturing costs. Aneurysm closure in the physical model evaluated by fluorescence simulation and post-operative CT revealed Raymond 1 (full) occlusion respectively in 68.89% and 73.33% of the cases. For both the simulators content validity, construct validity, usability and usefulness have been observed, with the highest scores observed in clip selection usefulness R

conclusionsBoth the physical and the holographic simulators were validated and resulted usable and useful in selecting valid clips and discarding unsuitable ones. Thus, they represent ideal platforms for realistic patient-specific simulation-based training of neurosurgical residents and hold the potential for further applications in preoperative planning.

Indexed as

Augmented realityMicrosurgical clippingNeurosurgeryPreoperative PlanningSimulatorSurgical TrainingUnruptured intracranial aneurysms

Identifiers

PMID39292343
PMCPMC11411828

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.