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Automated neurosurgical stereotactic planning for intraoperative use: a comprehensive review of the literature and perspectives

Neurosurgical Review volume 44, pages 867–888 (2021)Cite this article

Abstract

The creation of intracranial stereotactic trajectories, from entry point to target point, is still mostly done manually by the neurosurgeon. The development of automated stereotactic planning tools has been described in the literature. This systematic review aims to assess the effectiveness of stereotactic planning procedure automation and develop tools for patients undergoing neurosurgical stereotactic procedures. PubMed/MEDLINE, EMBASE, Google Scholar, CINAHL, PsycINFO, and Cochrane Register of Controlled Trials databases were searched from inception to September 1, 2019, at the exception of Google Scholar (from 1 January 2010 to September 1, 2019) in French and English. Eligible studies included all studies proposing automated stereotactic planning. A total of 1543 studies were screened. Forty-two studies were included in the systematic review, including 18 (42.9%) conference papers. The surgical procedures planned automatically were mainly deep brain stimulation (n = 14, 33.3%), stereoelectroencephalography (n = 12, 28.6%), and not specified (n = 10, 23.8%). The most frequently used surgical constraints to plan the trajectory were blood vessels (n = 32, 76.2%), cerebral sulci (n = 27, 64.3%), and cerebral ventricles (n = 23, 54.8%). The distance from blood vessels ranged from 1.96 to 4.78 mm for manual trajectories and from 2.47 to 7.0 mm for automated trajectories. At least one neurosurgeon was involved in 36 studies (85.7%). The automated stereotactic trajectory was preferred in 75.4% of the studied cases (range 30–92.9). Only 3 (7.1%) studies were multicentric. No study reported prospective use of the planning software. Stereotactic planning automation is a promising tool to provide valuable stereotactic trajectories for clinical applications.

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Acknowledgments

Chiara Benevello, Fabrice Chrétien, Bertrand Devaux, Edouard Dezamis, Philibert Duriez, Marc Harislur, Raphael Gaillard, Philip Gorwood, Jean-Louis Mas, Jean-François Meder, Baris Turak, Pascale Varlet, Gilles Zah-Bi.

Funding

The Fondapro Foundation under the auspices of the Académie Nationale de Chirurgie (National Academy of Surgery) and Nuovo Soldati Foundation provided financial support in the form of two scholarships.

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Affiliations

  1. Department of Neurosurgery, GHU Paris–Sainte-Anne Hospital, 1, rue Cabanis, 75674, Paris Cedex 14, France

    Marc Zanello, Alexandre Roux & Johan Pallud

  2. Paris Descartes University, Sorbonne Paris Cité, Paris, France

    Marc Zanello, Alexandre Roux, Catherine Oppenheim & Johan Pallud

  3. IMABRAIN, Institute of Psychiatry and Neuroscience of Paris, INSERM UMR 1266, Paris, France

    Marc Zanello, Pietro Gori, Alexandre Roux, Isabelle Bloch, Catherine Oppenheim & Johan Pallud

  4. Aix Marseille Université, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France

    Romain Carron

  5. Department of Functional and Stereotactic Neurosurgery, Timone University Hospital, Marseille, France

    Romain Carron

  6. Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, USA

    Sophie Peeters

  7. IMAG2 Laboratory, Imagine Institute, Paris, France

    Pietro Gori & Isabelle Bloch

  8. LTCI, Télécom Paris, Institut Polytechnique de Paris, Paris, France

    Pietro Gori & Isabelle Bloch

  9. Department of Neuroradiology, GHU Paris–Sainte-Anne Hospital, Paris, France

    Catherine Oppenheim

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Pros and Cons of automated trajectory planning. (DOCX 16 kb)

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Zanello, M., Carron, R., Peeters, S. et al. Automated neurosurgical stereotactic planning for intraoperative use: a comprehensive review of the literature and perspectives. Neurosurg Rev 44, 867–888 (2021). https://doi.org/10.1007/s10143-020-01315-1

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Keywords

  • Automation
  • Software validation
  • Surgery, Computer-assisted
  • Stereotaxy
  • Deep brain stimulation