Evidence map›Paper›PMID 38021023›Full record

ArticleBrain & spine2023

The use of advanced technology for preoperative planning in cranial surgery - A survey by the EANS Young Neurosurgeons Committee.

Giovanni Raffa, Toma Spiriev, Cesare Zoia, Cristina C Aldea, Jiri Bartek, Marlies Bauer, Netanel Ben-Shalom, Diogo Belo, Evangelos Drosos, Christian F Freyschlag and 8 more

Abstract read
In one paragraph

Article in Brain & spine, 2023. 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
  2. Review
  3. 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

18 authors.

Giovanni RaffaDivision of Neurosurgery, BIOMORF Department, University of Messina, Messina, Italy.
Toma SpirievDepartment of Neurosurgery, Acibadem CityClinic Tokuda Hospital Sofia, Bulgaria.
Cesare ZoiaNeurosurgery Unit, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy.
Cristina C AldeaDepartment of Neurosurgery, Cluj County Emergency Hospital, University of Medicine and Pharmacy Iuliu Hatieganu, Cluj-Napoca, Romania.
Jiri BartekDepartment of Clinical Neuroscience, Karolinska Institutet and Department of Neurosurgery, Karolinska University Hospital, Stockholm, Sweden.
Marlies BauerDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.
Netanel Ben-ShalomDepartment of Neurosurgery, Rabin Medical Center, Belinson Campus, Petah Tikva, Israel.
Diogo BeloNeurosurgery Department, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.
Evangelos DrososSalfort Royal NHS Foundation Trust, Manchester, United Kingdom.
Christian F FreyschlagDepartment of Neurosurgery, Medical University of Innsbruck, Innsbruck, Austria.
Stanislav KaprovoyBurdenko Neurosurgical Center, Department of Spinal and Peripheral Nerve Surgery, Department of International Affairs, Moscow, Russia.
Milan LepicClinic for Neurosurgery, Military Medical Academy, Belgrade, Serbia.
Laura LippaDept of Neurosurgery, ASST Ospedale Niguarda, Milano, Italy.
Katrin RabieiInstitution of Neuroscience & Physiology, Sahlgrenska Academy, Gothenberg, Sweden.
Michael SchwakeDepartment of Neurosurgery, University Hospital Muenster, Germany.
Felix C StengelDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.
Martin N StienenDepartment of Neurosurgery and Spine Center of Eastern Switzerland, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.
Maria L Gandía-GonzálezDepartment of Neurosurgery, Hospital Universitario La Paz, Idipaz, Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Technological advancements provided several preoperative tools allowing for precise preoperative planning in cranial neurosurgery, aiming to increase the efficacy and safety of surgery. However, little data are available regarding if and how young neurosurgeons are trained in using such technologies, how often they use them in clinical practice, and how valuable they consider these technologies. Research question: How frequently these technologies are used during training and clinical practice as well as to how their perceived value can be qualitatively assessed. Materials and methods: The Young Neurosurgeons' Committee (YNC) of the European Association of Neurosurgical Societies (EANS) distributed a 14-items survey among young neurosurgeons between June 1st and August 31st Results: A total of 441 responses were collected. Most responders (42.34%) received "formal" training during their residency. Planning techniques were used mainly in neuro-oncology (90.86%), and 3D visualization of patients' DICOM dataset using open-source software was the most frequently used (>20 times/month, 20.34% of responders). Software for 3D visualization of patients' DICOM dataset was the most valuable technology, especially for planning surgical approach (42.03%). Conversely, simulation based on augmented/mixed/virtual reality was considered the less valuable tool, being rated below sufficiency by 39.7% of responders. Discussion and conclusion: Training for using preoperative planning technologies in cranial neurosurgery is provided by neurosurgical residency programs. Software for 3D visualization of DICOM datasets is the most valuable and used tool, especially in neuro-oncology. Interestingly, simulation tools based on augmented/virtual/mixed reality are considered less valuable and, therefore, less used than other technologies.

Indexed as

Advanced technologyEuropean association of neurosurgical societiesNeurosurgical trainingPreoperative planningSimulationYoung neurosurgeons

Identifiers

PMID38021023
PMCPMC10668051

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.