Ex-vivo evaluation of an ultrasound-based planning and navigation method for non-anatomical liver resections

Paolucci, Iwan; Sandu, Raluca-Maria; Sahli, Luca Andrea; Candinas, Daniel; Weber, Stefan; Lachenmayer, Anja (19 September 2019). Ex-vivo evaluation of an ultrasound-based planning and navigation method for non-anatomical liver resections. In: 18. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie. Reutlingen. 19.09.2019.

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Non-anatomical resections of liver tumors are very challenging as the surgeon cannot use anatomical landmarks on the liver surface or in the ultrasound image for guidance. This makes it difficult to maintain a negative resection margin to achieve an R0 resection and still preserve as much healthy liver tissue as possible, especially for inexperienced surgeons. Even though image-guided surgery systems have been introduced to overcome these challenges, they are rarely used due to their inaccuracy, time-effort and complexity in usage and setup. We have developed a novel approach, which allows to create a surgical plan intra-operatively using navigated ultrasound. In this study, we have evaluated this approach on ex-vivo porcine models. We found that using this technique, an R0 resection could be achieved in 11 out of 12 cases with an average resection margin of 4.1 mm. In conclusion, this approach might represent a useful tool for intra-operative guidance in non-anatomical resection along with conventional ultrasound guidance.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Visceral Surgery and Medicine > Visceral Surgery
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research > ARTORG Center - Image Guided Therapy
04 Faculty of Medicine > Department of Gastro-intestinal, Liver and Lung Disorders (DMLL) > Clinic of Visceral Surgery and Medicine
10 Strategic Research Centers > ARTORG Center for Biomedical Engineering Research

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Paolucci, Iwan; Sandu, Raluca-Maria; Sahli, Luca Andrea; Candinas, Daniel; Weber, Stefan and Lachenmayer, Anja

Subjects:

600 Technology > 610 Medicine & health
600 Technology > 620 Engineering

ISBN:

978-3-00-063717-9

Language:

English

Submitter:

Iwan Paolucci

Date Deposited:

01 Oct 2019 09:18

Last Modified:

23 Oct 2019 09:02

BORIS DOI:

10.7892/boris.133575

URI:

https://boris.unibe.ch/id/eprint/133575

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