Evidence map›Paper›PMID 31947718›Full record

ArticleBioengineering (Basel, Switzerland)2020

Current Practice in Preoperative Virtual and Physical Simulation in Neurosurgery.

Elisa Mussi, Federico Mussa, Chiara Santarelli, Mirko Scagnet, Francesca Uccheddu, Rocco Furferi, Yary Volpe, Lorenzo Genitori

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2020. 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.

  1. Craniopharyngioma in children. An age-based analysis on our 11 year experience with the endoscopic endonasal approach.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Article
  2. Review
  3. Recent advances in 3D printing applications for CNS tumours.European journal of medical research · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 3D Printing of Physical Organ Models: Recent Developments and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    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.

Elisa MussiDepartment of Industrial Engineering, University of Florence, via di Santa Marta, 3, 50139 Firenze, Italy.ORCID 0000-0002-5170-3246
Federico MussaDepartment of Pediatric Surgery, Meyer Children's Hospital, Viale Pieraccini 24, 50141 Florence, Italy.
Chiara SantarelliDepartment of Industrial Engineering, University of Florence, via di Santa Marta, 3, 50139 Firenze, Italy.
Mirko ScagnetDepartment of Pediatric Surgery, Meyer Children's Hospital, Viale Pieraccini 24, 50141 Florence, Italy.
Francesca UcchedduDepartment of Industrial Engineering, University of Florence, via di Santa Marta, 3, 50139 Firenze, Italy.ORCID 0000-0001-7604-5182
Rocco FurferiDepartment of Industrial Engineering, University of Florence, via di Santa Marta, 3, 50139 Firenze, Italy.ORCID 0000-0001-6771-5981
Yary VolpeDepartment of Industrial Engineering, University of Florence, via di Santa Marta, 3, 50139 Firenze, Italy.ORCID 0000-0002-5668-1912
Lorenzo GenitoriDepartment of Pediatric Surgery, Meyer Children's Hospital, Viale Pieraccini 24, 50141 Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In brain tumor surgery, an appropriate and careful surgical planning process is crucial for surgeons and can determine the success or failure of the surgery. A deep comprehension of spatial relationships between tumor borders and surrounding healthy tissues enables accurate surgical planning that leads to the identification of the optimal and patient-specific surgical strategy. A physical replica of the region of interest is a valuable aid for preoperative planning and simulation, allowing the physician to directly handle the patient's anatomy and easily study the volumes involved in the surgery. In the literature, different anatomical models, produced with 3D technologies, are reported and several methodologies were proposed. Many of them share the idea that the employment of 3D printing technologies to produce anatomical models can be introduced into standard clinical practice since 3D printing is now considered to be a mature technology. Therefore, the main aim of the paper is to take into account the literature best practices and to describe the current workflow and methodology used to standardize the pre-operative virtual and physical simulation in neurosurgery. The main aim is also to introduce these practices and standards to neurosurgeons and clinical engineers interested in learning and implementing cost-effective in-house preoperative surgical planning processes. To assess the validity of the proposed scheme, four clinical cases of preoperative planning of brain cancer surgery are reported and discussed. Our preliminary results showed that the proposed methodology can be applied effectively in the neurosurgical clinical practice both in terms of affordability and in terms of simulation realism and efficacy.

Indexed as

3D casting3D printingadditive manufacturingbraincancercomputer aided designneurosurgeryphysical simulationpreoperative planningvirtual planning

Identifiers

PMID31947718
PMCPMC7175342

What OpenQuestion holds

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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.