Feasibility of Ultrasound-based Navigation for Non-anatomical Liver Resections

In a non-anatomical resection of a liver tumor, only the part of the liver with the tumor and a safety margin of 5 - 10 mm are resected. This is done to ensure a negative resection margin, which means that no tumor cells are at the boundary of the resection. These non-anatomical resections can be performed repeatedly in case of recurrence. However, compared to anatomical resections, it is more challenging to keep a negative resection margin as anatomical landmarks cannot be used for intra-operative guidance.

In this study, the investigators aim to clinically evaluate a 3d navigation system, where navigated intra-operative ultrasound data is used to create a virtual model and a surgical plan.

Study Overview

Status

Terminated

Conditions

Detailed Description

Surgical resection is the current gold standard for curative care of primary and metastatic hepatic tumors. This procedure involves the removal of the part of the liver where the tumor is located. This is typically achieved by removing the segments containing the tumor, so called anatomical resections. The downside of this technique is that it also removes a large part of healthy liver tissue. Recently, non-anatomical resections are becoming more popular, as they spare more healthy liver tissue than anatomical resections with similar oncological outcomes. In a non-anatomical resection, only the part of the liver with the tumor and a safety margin of 5 - 10 mm are resected. This is done to ensure a negative resection margin, which means that no tumor cells are at the boundary of the resection. These non-anatomical resections can be performed repeatedly in case of recurrence. However, compared to anatomical resections, it is more challenging to keep a negative resection margin as anatomical landmarks cannot be used for intra-operative guidance.

In the beginning of a non-anatomical resection, a resection line is drawn onto the liver surface to visualize where the resection shall be started. During the resection process, intra-operative ultrasound is used to confirm a safe distance to the tumor. Finally, once the depth is reached, the distance to the tumor is again confirmed on ultrasound and the tumor is removed. This is a challenging process which depends on the operator's ability and experience with mentally reconstructing the spatial relationships of the ultrasound image and the intra-operative scene. Additionally, the resection margin introduces artifacts and makes it harder to visualize the safety distance to the tumor on ultrasound.

To overcome these challenges, image-guidance systems have been introduced into the surgical workflow. These systems measure the pose of the surgical instruments and display their position on a virtual model of the anatomy. They mainly rely on a registration process to align a preoperative model with the patient's anatomy intraoperatively. This process is time-consuming, complex and error prone which is the main reason why such systems are rarely used.

In this study, the investigators aim to clinically evaluate a different approach, where navigated intra-operative ultrasound data is used to create a virtual model and a surgical plan on the spot. This does not require a separate registration process. With this approach a virtual draft of the surgical plan is created, which serves as a rough guidance map through the procedure. The investigators hypothesize that using such an intra-operative surgical draft allows the surgeon to acquire a negative resection margin.

Study Type

Interventional

Enrollment (Actual)

1

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Bern, Switzerland
        • Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Patients which are regularly scheduled for an open surgical liver resection
  • At least one tumor considered for non-anatomical resection
  • Lesion is visible on ultrasound imaging
  • Informed Consent as documented by signature (Appendix Informed Consent Form)
  • Age >= 18 years

Exclusion Criteria:

  • Other clinically condition or disease that would (as deemed by the operating surgeon) significantly increase the risk of surgery
  • Lesion is close to major vessel (< 10 mm)
  • Lesion is too large to be visualized on ultrasound imaging
  • Emergency
  • Subjects not able to give informed consent (dementia)
  • Women of childbearing potential (less than 1 year post-menopausal)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: TREATMENT
  • Allocation: NA
  • Interventional Model: SINGLE_GROUP
  • Masking: NONE

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
EXPERIMENTAL: Experimental
Stereotactic image-guided non-anatomical resection
Stereotactic image-guided resection with an ultrasound-based image-guidance system.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
R0 resection rate
Time Frame: 30 days
Assessed by histopathological examination of the resected specimen. R0 is defined as a negative resection margin of >1 mm.
30 days

Secondary Outcome Measures

Outcome Measure
Time Frame
Number of re-resections
Time Frame: intra-operative, expected to be up to 4 hours
intra-operative, expected to be up to 4 hours
Resection margin in mm
Time Frame: 30 days
30 days
Correlation with tumor size
Time Frame: pre-operative, expected to be up to 30 days
pre-operative, expected to be up to 30 days
Correlation with tumor volume
Time Frame: pre-operative, expected to be up to 30 days
pre-operative, expected to be up to 30 days
Correlation with tumor type
Time Frame: pre-operative, expected to be up to 30 days
pre-operative, expected to be up to 30 days
Correlation with tumor location
Time Frame: pre-operative, expected to be up to 30 days
pre-operative, expected to be up to 30 days
Time for planning of the resection
Time Frame: intra-operative, expected to be up to 4 hours
intra-operative, expected to be up to 4 hours
Time for resection
Time Frame: intra-operative, expected to be up to 4 hours
intra-operative, expected to be up to 4 hours

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Anja Lachenmayer, MD, Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

June 17, 2020

Primary Completion (ACTUAL)

February 16, 2022

Study Completion (ACTUAL)

February 16, 2022

Study Registration Dates

First Submitted

December 3, 2019

First Submitted That Met QC Criteria

December 3, 2019

First Posted (ACTUAL)

December 5, 2019

Study Record Updates

Last Update Posted (ACTUAL)

June 1, 2022

Last Update Submitted That Met QC Criteria

May 25, 2022

Last Verified

May 1, 2022

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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