Computer-assisted liver surgery: clinical applications and technological trends

Peterhans, Matthias; Oliveira, Thiago; Banz, Vanessa; Candinas, Daniel; Weber, Stefan (2012). Computer-assisted liver surgery: clinical applications and technological trends. Annual review of biomedical engineering, 40(3), pp. 199-220. Palo Alto, Calif.: Annual Reviews Inc.

Full text not available from this repository. (Request a copy)

Oncological liver surgery and interventions aim for removal of tumor tissue while preserving a sufficient amount of functional tissue to ensure organ regeneration. This requires detailed understanding of the patient-specific internal organ anatomy (blood vessel system, bile ducts, tumor location). The introduction of computer support in the surgical process enhances anatomical orientation through patient-specific 3D visualization and enables precise reproduction of planned surgical strategies though stereotactic navigation technology. This article provides clinical background information on indications and techniques for the treatment of liver tumors, reviews the technological contributions addressing the problem of organ motion during navigated surgery on a deforming organ, and finally presents an overview of the clinical experience in computer-assisted liver surgery and interventions. The review concludes that several clinically applicable solutions for computer aided liver surgery are available and small-scale clinical trials have been performed. Further developments will be required more accurate and faster handling of organ deformation and large clinical studies will be required for demonstrating the benefits of computer aided liver surgery.

Item Type:

Journal Article (Original Article)


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 > Visceral Surgery

UniBE Contributor:

Peterhans, Matthias; Oliveira Dos Santos, Thiago; Banz, Vanessa Martine; Candinas, Daniel and Weber, Stefan




Annual Reviews Inc.




Factscience Import

Date Deposited:

04 Oct 2013 14:38

Last Modified:

08 Dec 2016 13:55

PubMed ID:


URI: (FactScience: 222585)

Actions (login required)

Edit item Edit item
Provide Feedback