Evidence map›Paper›PMID 38392620›Full record

ArticleJournal of personalized medicine2024

The Integration of 3D Virtual Reality and 3D Printing Technology as Innovative Approaches to Preoperative Planning in Neuro-Oncology.

Pablo González-López, Artem Kuptsov, Cristina Gómez-Revuelta, Jaime Fernández-Villa, Javier Abarca-Olivas, Roy T Daniel, Torstein R Meling, Juan Nieto-Navarro

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  8. Evaluating virtual reality as a tool for improving surgical planning in spinal tumors.International journal of computer assisted radiology and surgery · 2025
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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

8 authors.

Pablo González-LópezDepartment of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain.
Artem KuptsovDepartment of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain.ORCID 0000-0002-8374-3074
Cristina Gómez-RevueltaDepartment of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain.ORCID 0000-0002-6220-5242
Jaime Fernández-VillaDepartment of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain.
Javier Abarca-OlivasDepartment of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain.ORCID 0000-0001-9808-2291
Roy T DanielCentre Hospitalier Universitaire Vaudois, 1005 Lausanne, Switzerland.
Torstein R MelingDepartment of Neurosurgery, Rigshospitalet, 92100 Copenhagen, Denmark.ORCID 0000-0001-6595-0873
Juan Nieto-NavarroDepartment of Neurosurgery, Hospital General Universitario, 03010 Alicante, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our study explores the integration of three-dimensional (3D) virtual reality (VR) and 3D printing in neurosurgical preoperative planning. Traditionally, surgeons relied on two-dimensional (2D) imaging for complex neuroanatomy analyses, requiring significant mental visualization. Fortunately, nowadays advanced technology enables the creation of detailed 3D models from patient scans, utilizing different software. Afterwards, these models can be experienced through VR systems, offering comprehensive preoperative rehearsal opportunities. Additionally, 3D models can be 3D printed for hands-on training, therefore enhancing surgical preparedness. This technological integration transforms the paradigm of neurosurgical planning, ensuring safer procedures.

Indexed as

3D printing technologyneuroanatomysurgical planningsurgical simulationvirtual reality

Identifiers

PMID38392620
PMCPMC10890029

What OpenQuestion holds

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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.