Monitoring of Needle-placement With Multiple Frequency Bioimpedance Monitoring

June 7, 2016 updated by: Axel Rudolf Sauter, Oslo University Hospital
A novel algorithm for bioimpedance measurements to detect nerve tissue, and discriminate it from other tissue types has been developed in a porcine model, by analysing a complex impedance dataset based on multiple measurement frequencies. It must now be confirm that the previous results are applicable in humans. Measurements from 24 predefined needle positions will be obtained in 16 of the 32 volunteers that are included in the study (part A). A new algorithm to detect nerve tissue will be developed based on these measurement results. Further impedance algorithms will be developed for other tissue type. The efficacy of the algorithms (sensitivity and specificity) will be evaluated in the 16 following volunteers (part B).

Study Overview

Study Type

Observational

Enrollment (Anticipated)

32

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

      • Oslo, Norway, 0424
        • Recruiting
        • Oslo University Hospital
        • Contact:

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

Yes

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Healthy volunteers

Description

Inclusion Criteria:

  • Age ≥ 18 years
  • American society of anaesthesiologists score (ASA) 1 or 2
  • Volunteers that have given informed written consent

Exclusion Criteria:

  • Volunteers that cannot cooperate for the examination
  • Volunteers with neurologic disease, nerve- or vascular impairment
  • ASA > 2

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Needle placement in different tissue types
Needle placement and impedance measurements in different tissue types
Bioimpedance will be measured for needle positions in different tissue types

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Success in the identification of nerve tissue by the use of an algorithm based on a multiple frequency impedance measurement (MFIM) algorithm. The outcome is binary (success vs failure).
Time Frame: From day 1 up to 12 months
From day 1 up to 12 months

Collaborators and Investigators

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

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

October 1, 2015

Primary Completion (Anticipated)

December 1, 2017

Study Completion (Anticipated)

December 1, 2017

Study Registration Dates

First Submitted

October 22, 2015

First Submitted That Met QC Criteria

October 27, 2015

First Posted (Estimate)

October 28, 2015

Study Record Updates

Last Update Posted (Estimate)

June 8, 2016

Last Update Submitted That Met QC Criteria

June 7, 2016

Last Verified

June 1, 2016

More Information

Terms related to this study

Other Study ID Numbers

  • impedance monitoring 1/2015

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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