NCT04224077

Brief Summary

Diffusion tensor imaging (DTI) is a non-invasive MRI technique offering a functional approach that provides morphological information about the microstructures of the nerve roots. DTI is a widely used neuroimaging technique and is a current topic of research in the field of peripheral nerve imaging. The aim of this work is therefore to improve DTI sequences by specifically evaluating the contribution of the multiband technique in healthy volunteers.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
20

participants targeted

Target at below P25 for not_applicable

Timeline
Completed

Started Feb 2020

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

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

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

January 8, 2020

Completed
5 days until next milestone

First Posted

Study publicly available on registry

January 13, 2020

Completed
28 days until next milestone

Study Start

First participant enrolled

February 10, 2020

Completed
Same day until next milestone

Primary Completion

Last participant's last visit for primary outcome

February 10, 2020

Completed
7 months until next milestone

Study Completion

Last participant's last visit for all outcomes

August 31, 2020

Completed
Last Updated

February 3, 2021

Status Verified

February 1, 2021

Enrollment Period

Same day

First QC Date

January 8, 2020

Last Update Submit

February 2, 2021

Conditions

Keywords

Radiculopathy LumbarMRIDiffusion tensor imagingMultiband technique

Outcome Measures

Primary Outcomes (1)

  • Image quality measured as signal-to-noise ratio and contrast-to-noise ratio

    Comparison of the image quality between DTI optimized and DTI of reference. The signal-to-noise ratio is a measure that compares the level of a desired signal to the level of background noise. Mathematically, the signal-to-noise ratio is the quotient of the (mean) signal intensity measured in a region of interest and the standard deviation of the signal intensity in a region outside the anatomy of the object being imaged. The contrast-to-noise ratio is a measure of image quality based on a contrast rather than the raw signal.

    Day 0

Secondary Outcomes (3)

  • Fraction of anisotropy and apparent diffusion coefficient

    Day 0

  • Concordance of observed agreement measured by Cohen's kappa coefficient

    Day 0

  • Concordance of observed agreement measured by Intra-class correlation coefficient

    Day 0

Study Arms (1)

Intervention

EXPERIMENTAL

Healthy volunteers

Diagnostic Test: Optimisation of DTI sequences

Interventions

Optimisation of DTI sequences in the study of lumbar roots by MRI

Intervention

Eligibility Criteria

Age18 Years - 40 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Person without history of lumbar surgery
  • Person who has previously consented

You may not qualify if:

  • MRI contraindications (pace maker, cardiac defibrillator,...)
  • Claustrophobia
  • Pregnant woman
  • Person without social security
  • Person with a guardianship
  • Person carrying metallic surgical material (spine, pelvis, abdomen)

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Lille Catholic Hospitals

Lomme, 59462, France

Location

Study Officials

  • Jean-François BUDZIK, MD

    GHICL

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

January 8, 2020

First Posted

January 13, 2020

Study Start

February 10, 2020

Primary Completion

February 10, 2020

Study Completion

August 31, 2020

Last Updated

February 3, 2021

Record last verified: 2021-02

Data Sharing

IPD Sharing
Will not share

Locations