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Accuracy Assessment for Computer-assisted Surgical Interventions of the Liver

Completed
Conditions
Adult Liver Cancer
Registration Number
NCT01474694
Lead Sponsor
Insel Gruppe AG, University Hospital Bern
Brief Summary

Preoperative image-guided data correlates with the actual intraoperative reality. Computer-assisted preoperative planning combined with intraoperative mapping of even very small lesions allows for improved accuracy during complete oncological resection / ablation. In the short- and long-term this possibly results in better patient outcome.

Detailed Description

Background

The aim of this study is to analyze the available accuracy of a computer-assisted approach to liver surgery and microwave ablation. The term 'computer-assisted' refers to 1) using 3D models of patient anatomy for extended orientation during the planning of the intervention and 2) using an image guidance system (similar to a GPS in a car) that allows for precise targeting of desired anatomical structures (e.g. intrahepatic tumor, bile ducts / vasculature) in the setting of successfully treating liver malignancies. Furthermore, we would like to demonstrate, that image guided open liver surgery is technically feasible, whenever the correlation between preoperative image-guided data and the intraoperative setting can be achieved with a known accuracy.

Eventually, this technology, like in other surgical domains, will lead to successively implemented technical guiding functionalities that could potentially improve patient outcome.

Objective

To date, first systems (CE marked medical devices) are available that have been specifically developed for image-guided open liver surgery. The systems tracks positions of surgical instruments in or near the target organs and visualizes the instruments position in correlation to patients medical image data (i.e. 3D-CT) on the computer screen. Surgeons benefit from a view to a virtual scene (on a computer screen) in which CT images, together with models of the vascular structures, tumors and organ boundaries, are intuitively visible. The surgeon can see the moving instrument, just like the movement of a car can be seen in a GPS system

Methods

In patients requiring extensive surgery (eg. extended right hemihepatectomy), accurate calculations of the remaining liver volume are essential to avoid postoperative liver failure with potentially serious postoperative complications or even death, resulting from an inadequate remaining liver volume (ie "small-for-size syndrome"). In high-risk liver resections, use of computer programs, such as MeVis (MeVis Medical Solutions Inc.), provide the surgeon with accurate preoperative information, allowing him / her to judge the feasibility of the planned surgical resection based on preoperative liver volume analysis and evaluation of the planned resection line in relation to essential structures (ie. major vessels / bile ducts).

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
14
Inclusion Criteria
  • 1.Written informed consent
  • 2.Male patients and non-pregnant, non-lactating females aged ≥18 years of age (negative serum/urine pregnancy test result at screening)
  • 3.Patients must be candidates for surgical liver resection and/or MWA (at least one anatomical segment) of primary or metastatic liver cancer. The liver tumors must be present on preoperative imaging study (CT and/or MRI).

Exclusion Criteria

  • 1.Any condition which, in the judgment of the clinical investigator or his designee, might increase the risk to the subject or decrease the chance of obtaining satisfactory data to achieve the objectives of the study.
  • 2.A mental condition rendering the patient unable to provide informed consent.
  • 3.Patients with hereditary hematological / coagulation disorders unrelated to their liver disease or cirrhosis of the liver classified as Child's B or C.
Exclusion Criteria

Not provided

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
TRE, measuring the error in the prediction of a surgical target location when using the navigation system.12 months
Secondary Outcome Measures
NameTimeMethod
1.Identification of suitable landmarks for registration15 months

Trial Locations

Locations (1)

Dep. of visceral and Transplant Surgery, Bern University Hospital

🇨🇭

Berne, Switzerland

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