Evidence map›Paper›PMID 42393455›Full record

ReviewAdvances and technical standards in neurosurgery2026

3D-Printing in Neurosurgical Training: Hands-On Practice, Patient-Specific Planning and Simulation.

Giselle Coelho, William David Freeman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances and technical standards in neurosurgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Giselle CoelhoSTR-X (Simulation, Telemedicine, Robotics, and eXperimental education) Fellowship Program Mayo Clinic, Jacksonville, FL, USA.ORCID https://orcid.org/0000-0001-9288-0356
William David FreemanSTR-X (Simulation, Telemedicine, Robotics, and eXperimental education) Fellowship Program Mayo Clinic, Jacksonville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Training in neurosurgery is increasingly challenged by the complexity of cranial anatomy, the rarity of certain pathologies, ethical constraints on cadaveric dissection, and limited operative exposure. Advances in three-dimensional (3D) printing have enabled the development of patient-specific anatomical models derived from computed tomography and magnetic resonance imaging, offering realistic, reproducible platforms for surgical training and preoperative planning. This chapter reviews contemporary applications of 3D-printed, hybrid, and multimodal simulation models in neurosurgical education, with particular emphasis on complex craniofacial and encephalocele procedures. Through illustrative case reports-including frontoethmoidal and transsphenoidal meningoencephaloceles, metopic craniosynostosis, and late encephalocele correction-the chapter demonstrates how multimaterial 3D-printing, hybrid silicone-resin constructs, and integration with augmented and mixed reality can enhance spatial understanding, tactile feedback, and procedural rehearsal. Evidence from these cases indicates that patient-specific simulation can alter surgical strategy, reduce operative time and blood loss, and improve multidisciplinary communication. Educational benefits extend beyond surgeons to trainees and allied health professionals, supporting structured skill acquisition and competency-based assessment. The chapter also discusses the relevance of low-cost 3D-printing solutions for low- and middle-income countries, highlighting open-source software and affordable fabrication techniques as tools to reduce global disparities in neurosurgical care. Limitations related to cost, material fidelity, imaging quality, and technical expertise are addressed, alongside future directions for research and curriculum integration. Overall, 3D-printed and hybrid simulation models represent a transformative approach to neurosurgical training and patient-specific surgical planning, with significant implications for education, safety, and global health equity.

Indexed as

Models, AnatomicNeurosurgeryNeurosurgical ProceduresPrinting, Three-DimensionalSimulation TrainingHumans3D-printingHybrid simulationMultimaterial printingNeurosurgical educationPatient-specific modelsPreoperative planningSurgical simulation

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.