Evidence map›Paper›PMID 35043366›Full record

ReviewInternational journal of computer assisted radiology and surgery2022

3D surgical planning of pediatric tumors: a review.

Helena Rico Pereira, Mojtaba Barzegar, Osama Hamadelseed, Arnau Valls Esteve, Josep Munuera

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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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

5 authors at 4 institutions in 5 countries.

Helena Rico PereiraInstituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da, Universidade de Lisboa, Campo Grande, C1 Building, 3rd Floor, 1749-016, Lisboa, Portugal. hri.pereira@campus.fct.unl.pt.ORCID http://orcid.org/0000-0002-0123-5122
Mojtaba BarzegarIntelligent Quantitative Biomedical Imaging (Iqbmi), 1955748171, Tehran, Iran.ORCID http://orcid.org/0000-0002-3467-9109
Osama HamadelseedDepartment of Neuroanatomy, Institute of Anatomy and Cell Biology, University of Heidelberg, Im Neuenheimer Feld 307, 69120, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-3273-7368
Arnau Valls Esteve3D4H Unit, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain.ORCID http://orcid.org/0000-0002-1151-3042
Josep MunueraImatge Diagnòstica i Terapéutica, Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain.ORCID http://orcid.org/0000-0001-5154-1796
Hospital Sant Joan de Déu Barcelona · ESHeidelberg University · DEShiraz University of Medical Sciences · IRUniversity of Lisbon · PT

Funding

friedrich-naumann foundation for freedom 2021friedrich-naumann foundation for freedom 8683 / P611Fundação para a Ciência e a Tecnologia SAICTPAC/0010/2015Fundação para a Ciência e a Tecnologia UIDB/00645/2020
6 · The paper itself

Abstract

background3D surgical planning for the treatment of tumors in pediatrics using different neuroimaging methods is witnessing an accelerating and dynamic development. Until now, there have been many reports on the use of 3D printing techniques in different aspects of medical practice. Pediatric tumors mainly in the abdomen are among the most medical specialties that benefit from using this technique. The purpose of the current study is to review published literature regarding 3D surgical planning and its applications in the treatment of pediatric tumors and present challenges facing these techniques. MATERIALS AND

methodsA completed review of the available literature was performed, effect sizes from published studies were investigated, and results are presented concerning the use of 3D surgical planning in the management of pediatric tumors, most of which are abdominal.

resultsAccording to the reviewed literature, our study comes to the point that 3D printing is a valuable technique for planning surgery for pediatric tumors in heart, brain, abdomen and bone. MRI and CT are the most common used techniques for preparing 3D printing models, as indicated by the reviewed reports. The reported studies have indicated that 3D printing allows the understanding of the anatomy of complex tumor cases, the simulation using surgical instruments, and medical and family education. The materials, 3D printing techniques and costs to be used depend on the application.

conclusionThis technology can be applied in clinical practice with a wide spectrum, using various tools and a range of available 3D printing methods. Incorporating 3D printing into an effective application can be a gratifying process with the use of a multidisciplinary team and rapid advances, so more experience would be needed with this technique to show a clinical gain.

Indexed as

NeoplasmsPrinting, Three-DimensionalAbdomenChildHumansMagnetic Resonance ImagingSurgical Instruments3D printingPediatricsSurgical planningTumor

Identifiers

PMID35043366
OpenAlexW4206779530

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.