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3D surgical planning of pediatric tumors: a review

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Background

3D 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 methods

A 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.

Results

According 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.

Conclusion

This 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.

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Abbreviations

MRI:

Magnetic resonance imaging

CT:

Computer tomography

3D:

Three-dimensional

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Acknowledgements

We want to express our thanks to Fundação para a Ciência e Tecnologia (FCT), Instituto de Biofísica e Engenharia Biomédica, EIT Health, Hospital Sant Joan de Déu, Intelligent Quantitative Bio-Medical Imaging: Tehran, Iran, and the Department of Neuroanatomy, University of Heidelberg, Heidelberg, Germany, for the support offered to the authors during the preparation of this manuscript.

Funding

HRP was supported by Fundação para a Ciência e Tecnologia (FCT) under the projects UIDB/00645/2020 and SAICTPAC/0010/2015. Mr. Hamadelseed is funded by the Friedrich-Naumann Foundation for Freedom (Scholar-Number: 8683 / P611, 2021).

Author information

Authors and Affiliations

  1. Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da, Universidade de Lisboa, Campo Grande, C1 Building, 3rd Floor, 1749-016, Lisboa, Portugal

    Helena Rico Pereira

  2. Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-517, Caparica, Portugal

    Helena Rico Pereira

  3. Intelligent Quantitative Biomedical Imaging (Iqbmi), 1955748171, Tehran, Iran

    Mojtaba Barzegar

  4. School of Medical Physics and Medical Engineering, Tehran University of Medical Sciences, Tehran, Iran

    Mojtaba Barzegar

  5. Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, 71348-14336, Shiraz, Iran

    Mojtaba Barzegar

  6. Society for Brain Mapping and Therapeutics (SBMT), Los Angeles, CA, 90272, USA

    Mojtaba Barzegar

  7. Department of Neuroanatomy, Institute of Anatomy and Cell Biology, University of Heidelberg, Im Neuenheimer Feld 307, 69120, Heidelberg, Germany

    Osama Hamadelseed

  8. 3D4H Unit, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain

    Arnau Valls Esteve

  9. Innovation Department, Hospital Sant Joan de Déu, Passeig Sant Joan de Déu 2, 08950, Esplugues de Llobregat, Spain

    Arnau Valls Esteve

  10. Imatge Diagnòstica i Terapéutica, Institut de Recerca Sant Joan de Déu, Santa Rosa 39-57, 08950, Esplugues de Llobregat, Spain

    Josep Munuera

  11. Servei de Diagnòstic per la Imatge, Hospital Sant Joan de Déu, Passeig Sant Joan de Déu 2, 08950, Esplugues de Llobregat, Spain

    Josep Munuera

  12. 3D4H unit, Institut de Recerca Sant Joan de Déu, PasseigSant Joan deDéu 2, 08950, Esplugues deLlobregat, Spain

    Josep Munuera

Authors
  1. Helena Rico Pereira
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  2. Mojtaba Barzegar
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  3. Osama Hamadelseed
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  4. Arnau Valls Esteve
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  5. Josep Munuera
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Contributions

All authors have contributed to the study and the preparation of the manuscript. HRP, MB, OH, AVE and JM were involved in the methodology conceptualization, articles analysis, writing—original draft, review, and editing.

Corresponding author

Correspondence to Helena Rico Pereira.

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Pereira, H.R., Barzegar, M., Hamadelseed, O. et al. 3D surgical planning of pediatric tumors: a review. Int J CARS 17, 805–816 (2022). https://doi.org/10.1007/s11548-022-02557-8

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  • DOI: https://doi.org/10.1007/s11548-022-02557-8

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