Evidence map›Paper›PMID 37371373›Full record

ArticleBrain sciences2023

The Use of 3D Printed Models for Surgical Simulation of Cranioplasty in Craniosynostosis as Training and Education.

Jean Francois Uhl, Albert Sufianov, Camillo Ruiz, Yuri Iakimov, Huerta Jose Mogorron, Manuel Encarnacion Ramirez, Guillermo Prat, Barbara Lorea, Matias Baldoncini, Evgeniy Goncharov and 4 more

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 5% of its field
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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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  11. Surgery of craniosynostosis: a historical review.Annals of medicine and surgery (2012) · 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

14 authors at 9 institutions in 6 countries.

Jean Francois UhlAnatomy Department, Paris University and UNESCO Chair of Digital Anatomy, 75100 Paris, France.
Albert SufianovFederal Center of Neurosurgery, Sechenov University, 119435 Moscow, Russia.
Camillo RuizLaboratorio de Investigaciones Morfológicas Aplicadas, Universidad Nacional de La Plata, La Plata B1900, Argentina.
Yuri IakimovFederal Center of Neurosurgery, Sechenov University, 119435 Moscow, Russia.
Huerta Jose MogorronAnatomy Department, Paris University and UNESCO Chair of Digital Anatomy, 75100 Paris, France.
Manuel Encarnacion RamirezNeurological Surgery, Peoples Friendship University of Russia, 103274 Moscow, Russia.ORCID 0000-0003-3541-0635
Guillermo PratLaboratorio de Investigaciones Morfológicas Aplicadas, Universidad Nacional de La Plata, La Plata B1900, Argentina.
Barbara LoreaLaboratorio de Investigaciones Morfológicas Aplicadas, Universidad Nacional de La Plata, La Plata B1900, Argentina.
Matias BaldonciniLaboratory of Microsurgical Neuroanatomy, Second Chair of Gross Anatomy, School of Medicine, University of Buenos Aires, Buenos Aires B1406, Argentina.
Evgeniy GoncharovTraumatology and Orthopedics Center, Central Clinical Hospital of the Russian Academy of Sciences, 103272 Moscow, Russia.
Issael RamirezNeurosurgery Department, The Royal Melbourne Hospital, Melbourne 3000, Australia.ORCID 0000-0002-1266-9460
José Rafael Cerda CéspedesDepartment of Surgery, Universidad Tecnológica de Santiago (UTESA), Santiago 5100, Dominican Republic.
Renat NurmukhametovNeurological Surgery, Peoples Friendship University of Russia, 103274 Moscow, Russia.
Nicola MontemurroDepartment of Neurosurgery, Azienda Ospedaliero Universitaria Pisana (AOUP), University of Pisa, 56100 Pisa, Italy.ORCID 0000-0002-3686-8907
Universidad Nacional de La Plata · ARPeoples' Friendship University of Russia · RUSechenov University · RUUNESCO · FRRussian Academy of Sciences · RUThe Royal Melbourne Hospital · AUUniversidad de Buenos Aires · ARUniversidad Tecnológica de Santiago · DOUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advance in imaging techniques is useful for 3D models and printing leading to a real revolution in many surgical specialties, in particular, neurosurgery.

methodsWe report on a clinical study on the use of 3D printed models to perform cranioplasty in patients with craniosynostosis. The participants were recruited from various medical institutions and were divided into two groups: Group A (

resultsGroup B surgeons had the opportunity to plan different techniques and to simulate the cranioplasty. Group B surgeons reported that models provided a realistic and controlled environment for practicing surgical techniques, allowed for repetitive practice, and helped in visualizing the anatomy and pathology of craniosynostosis.

conclusion3D printed models can provide a realistic and controlled environment for neurosurgeons to develop their surgical skills in a safe and efficient manner. The ability to practice on 3D printed models before performing the actual surgery on patients may potentially improve the surgeons' confidence and competence in performing complex craniosynostosis surgeries.

Indexed as

3D modeling3D printed model3D printingcranioplastycraniosynostosisneurosurgerysimulationsurgical education

Identifiers

PMID37371373
PMCPMC10296687
OpenAlexW4379185327

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.