Intra-operative tumour localisation in robot-assisted minimally invasive surgery: A review.
Identifieur interne : 001098 ( Main/Curation ); précédent : 001097; suivant : 001099Intra-operative tumour localisation in robot-assisted minimally invasive surgery: A review.
Auteurs : Min Li [Royaume-Uni] ; Hongbin Liu [Royaume-Uni] ; Allen Jiang [Royaume-Uni] ; Lakmal D. Seneviratne ; Prokar Dasgupta [Royaume-Uni] ; Kaspar Althoefer [Royaume-Uni] ; Helge Wurdemann [Royaume-Uni]Source :
- Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine [ 2041-3033 ] ; 2014.
Abstract
Robot-assisted minimally invasive surgery has many advantages compared to conventional open surgery and also certain drawbacks: it causes less operative trauma and faster recovery times but does not allow for direct tumour palpation as is the case in open surgery. This article reviews state-of-the-art intra-operative tumour localisation methods used in robot-assisted minimally invasive surgery and in particular methods that employ force-based sensing, tactile-based sensing, and medical imaging techniques. The limitations and challenges of these methods are discussed and future research directions are proposed.
DOI: 10.1177/0954411914533679
PubMed: 24807165
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Lakmal D. Seneviratne<affiliation><nlm:affiliation>Department of Informatics, King's College London, London, UK College of Engineering, Khalifa University of Science, Technology & Research, Abu Dhabi, UAE.</nlm:affiliation>
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<front><div type="abstract" xml:lang="en">Robot-assisted minimally invasive surgery has many advantages compared to conventional open surgery and also certain drawbacks: it causes less operative trauma and faster recovery times but does not allow for direct tumour palpation as is the case in open surgery. This article reviews state-of-the-art intra-operative tumour localisation methods used in robot-assisted minimally invasive surgery and in particular methods that employ force-based sensing, tactile-based sensing, and medical imaging techniques. The limitations and challenges of these methods are discussed and future research directions are proposed.</div>
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