NCT02589899

Brief Summary

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).

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
32

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Oct 2015

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

October 1, 2015

Completed
21 days until next milestone

First Submitted

Initial submission to the registry

October 22, 2015

Completed
6 days until next milestone

First Posted

Study publicly available on registry

October 28, 2015

Completed
2.1 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2017

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2017

Completed
Last Updated

June 8, 2016

Status Verified

June 1, 2016

Enrollment Period

2.2 years

First QC Date

October 22, 2015

Last Update Submit

June 7, 2016

Conditions

Outcome Measures

Primary Outcomes (1)

  • 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).

    From day 1 up to 12 months

Study Arms (1)

Needle placement in different tissue types

Needle placement and impedance measurements in different tissue types

Other: Needle placement in different tissue types

Interventions

Bioimpedance will be measured for needle positions in different tissue types

Needle placement in different tissue types

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Healthy volunteers

You may qualify if:

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

You may not qualify if:

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

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Oslo University Hospital

Oslo, Oslo County, 0424, Norway

RECRUITING

Related Publications (1)

  • Kalvoy H, Sauter AR. Detection of intraneural needle-placement with multiple frequency bioimpedance monitoring: a novel method. J Clin Monit Comput. 2016 Apr;30(2):185-92. doi: 10.1007/s10877-015-9698-3. Epub 2015 Apr 23.

    PMID: 25902898BACKGROUND

Central Study Contacts

Axel R Sauter, PhD

CONTACT

Study Design

Study Type
observational
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
PhD

Study Record Dates

First Submitted

October 22, 2015

First Posted

October 28, 2015

Study Start

October 1, 2015

Primary Completion

December 1, 2017

Study Completion

December 1, 2017

Last Updated

June 8, 2016

Record last verified: 2016-06

Locations