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Publication Detail
Performance of image guided navigation in laparoscopic liver surgery – A systematic review
  • Publication Type:
    Journal article
  • Authors:
    Schneider C, Allam M, Stoyanov D, Hawkes DJ, Gurusamy K, Davidson BR
  • Publisher:
    Elsevier BV
  • Publication date:
    09/2021
  • Journal:
    Surgical Oncology
  • Volume:
    38
  • Article number:
    101637
  • Status:
    Published
  • Print ISSN:
    0960-7404
  • Language:
    English
  • Keywords:
    Laparoscopic liver surgery, Laparoscopic liver resection, Robotic liver surgery, Image guided surgery, Computer assisted surgery, Computer assisted navigation, Augmented reality, Machine vision
  • Notes:
    © 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Abstract
Background: Compared to open surgery, minimally invasive liver resection has improved short term outcomes. It is however technically more challenging. Navigated image guidance systems (IGS) are being developed to overcome these challenges. The aim of this systematic review is to provide an overview of their current capabilities and limitations. Methods: Medline, Embase and Cochrane databases were searched using free text terms and corresponding controlled vocabulary. Titles and abstracts of retrieved articles were screened for inclusion criteria. Due to the heterogeneity of the retrieved data it was not possible to conduct a meta-analysis. Therefore results are presented in tabulated and narrative format. Results: Out of 2015 articles, 17 pre-clinical and 33 clinical papers met inclusion criteria. Data from 24 articles that reported on accuracy indicates that in recent years navigation accuracy has been in the range of 8–15 mm. Due to discrepancies in evaluation methods it is difficult to compare accuracy metrics between different systems. Surgeon feedback suggests that current state of the art IGS may be useful as a supplementary navigation tool, especially in small liver lesions that are difficult to locate. They are however not able to reliably localise all relevant anatomical structures. Only one article investigated IGS impact on clinical outcomes. Conclusions: Further improvements in navigation accuracy are needed to enable reliable visualisation of tumour margins with the precision required for oncological resections. To enhance comparability between different IGS it is crucial to find a consensus on the assessment of navigation accuracy as a minimum reporting standard.
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Department of Surgical Biotechnology
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Department of Surgical Biotechnology
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Dept of Med Phys & Biomedical Eng
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Dept of Computer Science
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