Literature DB >> 34358880

Performance of image guided navigation in laparoscopic liver surgery - A systematic review.

C Schneider1, M Allam2, D Stoyanov3, D J Hawkes4, K Gurusamy5, B R Davidson5.   

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.
Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Augmented reality; Computer assisted navigation; Computer assisted surgery; Image guided surgery; Laparoscopic liver resection; Laparoscopic liver surgery; Machine vision; Robotic liver surgery

Mesh:

Year:  2021        PMID: 34358880     DOI: 10.1016/j.suronc.2021.101637

Source DB:  PubMed          Journal:  Surg Oncol        ISSN: 0960-7404            Impact factor:   3.279


  1 in total

1.  Ultrasound-based navigation for open liver surgery using active liver tracking.

Authors:  Jasper N Smit; Koert F D Kuhlmann; Oleksandra V Ivashchenko; Bart R Thomson; Thomas Langø; Niels F M Kok; Matteo Fusaglia; Theo J M Ruers
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-05-27       Impact factor: 3.421

  1 in total

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