Variability of Cerebral MRI Diffusion Parameters by Using a Patented Normalization Process vs no Use (CALI)

July 31, 2023 updated by: Braintale

National, Multicentre, Prospective, Interventional Study of the Variability of Cerebral MRI Diffusion Parameters by Using a Patented Normalization Process Versus no Use of Normalization Process

BrainTale has developed a standardization approach based on averaging measurements in predefined brain regions of interest and use of reference data acquired from healthy volunteers under conditions (MRI machine, acquisition protocol) identical to those used for the examination of the patient. The present study is intended to support the normalization step on healthy volunteers in clinical centres that will be equipped with the BrainTale medical device software dedicated to clinical routine practice and to assess, through a multicentre study, the impact of this normalization step on the variability of the MRI diffusion parameters. The data collected will support characterization and modelisation of the variability to explore further biais corrections methods. The study will be conducted by neuroradiologists of the neuroradiology departments of five clinical centres in France.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Detailed Description

Advances in medical imaging have made it possible, from the 1990s, to be able to visualize structural microlesions of the brain thanks to post-processing of the Magnetic Resonance Imaging (MRI) data acquired by the sequence using the diffusion tensor. Mathematical models such as the diffusion tensor have made it possible to quantify in each of the volumetric units of the brain (voxels) measurements correlated to the microstructure of neuronal axons such as the Fractional Anisotropy (FA), the Mean Diffusivity (MD), the Radial Diffusivity (RD) or the Axial Diffusivity (AD). These measurements thus make it possible to quantify the microstructural alterations.

However, the use of Diffusion Tensor Imaging (DTI) technology has limitations and currently, there is no "gold-standard" to validate diffusion measurements, which are currently dependent on acquisition protocols, post-processing software and observers.

To make these diffusion parameters usable in a clinical context, BrainTale has developed a standardization approach based on averaging measurements in predefined brain regions of interest and use of reference data acquired from healthy volunteers under conditions (MRI machine, acquisition protocol) identical to those used for the examination of the patient. This process requires the acquisition of 10 healthy volunteers to calibrate a new MRI protocol, which greatly limits access to the technology in clinical routine and limits the potential technological evolutions of the acquisition.

The study aims to assess the impact of a patented normalization process on the interindividual variability of Fractional Anisotropy (FA) measurements derived from cerebral Diffusion Tensor Imaging (DTI) acquisitions.

A total of 60 healthy volunteers will be included. One or two acquisition will be performed during a single on-site visit in order to collect diffusion parameters outcome data for further analyses (with or without normalization process).

After each acquisition and before inclusion of the following healthy volunteer, anonymised subject's data will be transferred to BrainTale on a secured web platform. BrainTale will be in charge of the Quality Control (QC) of the acquired data and will attribute a QC-passed or QC-failed.

Study Type

Interventional

Enrollment (Estimated)

60

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 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 to 80 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  1. Male or female aged 18 up to 80 years old
  2. Covered by a healthcare insurance
  3. Agreeing to be informed about any incidental finding discovered on brain MRI
  4. Written informed consent form signed

Exclusion Criteria:

  1. History of brain pathology, cognitive or psychiatric disorder
  2. Any contraindication * for undergoing brain MRI
  3. Subject refusing to participate or having expressed refusal to data collection/processing or unable to give his/her agreement to participate
  4. Vulnerable subject (i.e. pregnant or breast-feeding woman, child, subject under curatorship or deprived of liberty)

    • contraindications to MRI include: pacemaker, neural stimulator, intraocular or intracerebral device, cochlear implant, MR-incompatible prosthetic heart valves, any implant with metallic, ferromagnetic or electrically conductive parts, any metal in the body which cannot be removed, claustrophobia.

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: Other
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: MRI imaging of 10 healthy volunteers
10 healthy volunteers will proceed at an brain MRI imaging
All procedures will be performed during a single visit. Subjects will be invited to lie on the scanning bed that will be moved head first into the scanner such as the head lie under the scanner magnets. Hearing protection will be provided to each subject to muffle the noise produced by the MRI scanner. Subjects will also be provided with pillows and blankets to keep them comfortable. They will also be given a call button that they can push to stop the procedure at any time. MRI acquisition will be performed on 1.5T or 3.0T MRI scanners depending on centre's equipment. Acquisition protocol will include the following sequences with the best parameters chosen by local radiologist and technical BrainTale team.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Coefficients of Variation (%CV) of FA measurement
Time Frame: Day 1
Percentage Coefficients of Variation (%CV) of FA measurements obtained from QC-passed DTI sequences before and after application of the normalization process.
Day 1

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Coefficients of Variation (%CV) of MD measurement
Time Frame: Day 1
Percentage Coefficients of Variation (%CV) of MD measurements obtained from QC-passed DTI sequences before and after application of the normalization process.
Day 1
Coefficients of Variation (%CV) of AD measurement
Time Frame: Day 1
Percentage Coefficients of Variation (%CV) of AD measurements obtained from QC-passed DTI sequences before and after application of the normalization process.
Day 1
Coefficients of Variation (%CV) of RD measurement
Time Frame: Day 1
Percentage Coefficients of Variation (%CV) of RD measurements obtained from QC-passed DTI sequences before and after application of the normalization process.
Day 1

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Intraclass Correlation Coefficient (ICC)
Time Frame: Day 1

For assessment of the impact of calibration on test-retest repeatability of cerebral MRI diffusion parameters.

The Intraclass Correlation Coefficient (ICC) of cerebral MRI diffusion parameters (FA, MD, RD, AD) between the two measures made on the same patients, per center.

Day 1
percentage Coefficient of Variation (%CV) of the Neurite Orientation Dispersion and Density Imaging (NODDI) multishell diffusion scalar parameters.
Time Frame: Day 1

For assessment of the variability of multishell diffusion parameters:

The percentage Coefficient of Variation (%CV) of the Neurite Orientation Dispersion and Density Imaging (NODDI) multishell diffusion scalar parameters, i.e. Neurite Density Index (NDI), Orientation Dispersion Index (ODI) and Free Water fraction (FW).

Day 1
percentage Coefficient of Variation (%CV) of the resting-state functional MRI (fMRI) parameters.
Time Frame: Day 1

For assessment of the variability of resting state fMRI parameters:

The percentage Coefficient of Variation (%CV) of the resting-state functional MRI (fMRI) parameters: Regional Homogeneity (ReHo) and functional integration metrics.

Day 1

Collaborators and Investigators

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

Sponsor

Investigators

  • Study Chair: PERLBARG Vincent, Braintale

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 (Estimated)

September 1, 2023

Primary Completion (Estimated)

March 1, 2024

Study Completion (Estimated)

May 1, 2024

Study Registration Dates

First Submitted

June 15, 2022

First Submitted That Met QC Criteria

July 6, 2022

First Posted (Actual)

July 7, 2022

Study Record Updates

Last Update Posted (Actual)

August 1, 2023

Last Update Submitted That Met QC Criteria

July 31, 2023

Last Verified

July 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • 2022-A00622-41

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

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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