Comment on - "Simulation training approaches in intracranial aneurysm surgery-a systematic review".

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  • Additional Information
    • Source:
      Publisher: Springer Berlin Heidelberg Country of Publication: Germany NLM ID: 7908181 Publication Model: Electronic Cited Medium: Internet ISSN: 1437-2320 (Electronic) Linking ISSN: 03445607 NLM ISO Abbreviation: Neurosurg Rev Subsets: MEDLINE
    • Publication Information:
      Publication: Berlin : Springer Berlin Heidelberg
      Original Publication: Berlin : Walter De Gruyter
    • Subject Terms:
      Intracranial Aneurysm*/surgery ; Neurosurgical Procedures*/education ; Neurosurgical Procedures*/methods ; Simulation Training*/methods; Humans ; Computer Simulation ; Clinical Competence ; Microsurgery/education ; Microsurgery/methods ; Virtual Reality
    • Abstract:
      With the increasing complexity of intracranial aneurysm surgery and the reduced opportunities for hands-on training, there is a need for effective simulation-based training methods. This systematic review examines 26 studies on various simulation training approaches for intracranial aneurysm clipping, including ex vivo methods, virtual reality platforms, and 3D-printed models. The review evaluates these methods based on their effectiveness, realism, usability, and validation, highlighting that current simulation models are heterogeneous and lack standardization. Most existing simulations fail to replicate the complete microsurgical workflow, and their validation methods vary widely, limiting generalizability. The review recommends developing a standardized, comprehensive, and cost-effective simulation model that incorporates advanced haptic feedback and detailed anatomical features. Future research should focus on creating a universal validation framework to reliably assess simulation efficacy and ensure that neurosurgical trainees receive consistent, high-quality training experiences.
      (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
    • References:
      Joseph FJ, Vanluchene HE, Bervini D (2023) Simulation training approaches in intracranial aneurysm surgery—a systematic review. Neurosurg Rev 46(1):101. (PMID: 10.1007/s10143-023-01995-53713101510154262)
      Krishna, B. A., & Mohanraj, K. G. (2022). Morphometric analysis of oculomotor triangle in dry human skulls and its clinical applications.  Journal of Advanced Pharmaceutical Technology & Research, 13 (Suppl 1), S202-S206.
    • Publication Date:
      Date Created: 20241011 Date Completed: 20241012 Latest Revision: 20241011
    • Publication Date:
      20241013
    • Accession Number:
      10.1007/s10143-024-02984-y
    • Accession Number:
      39394495