Clinical Decision Support System (CADIMS) for MS Diagnostic

NCT ID: NCT03205280

Last Updated: 2023-04-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-10-11

Study Completion Date

2022-12-07

Brief Summary

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1. Background The results obtained in clinical research led to a new paradigm for the treatment of patients affected with multiple sclerosis (MS): "no evidence of disease activity". This means having each patient monitored with high quality imaging. To this purpose, researchers have developed segmentation algorithms for automated reading of MRIs, facilitating longitudinal comparisons, and allowing an accurate assessment of the number and the volume of focal lesions. We have thus a powerful strategic biomarker for the treatment of MS.

Due to the relevance of comparing over time the evolution of lesions (lesion load) and brain atrophy, the French Society of Neuroradiology edited standardized national recommendations. The MS French Observatory (OFSEP) has adopted these recommendations, in order to harmonize exams for all patients all over the country. At an international level as well, MRI have been put at the heart of the therapeutic strategy.

Therefore, we need now to create the conditions able to implement, collect and analyze imaging data according to these recommendations.

This is the meaning of the MUSIC project, which aims to develop and assess a standardized monitoring MRI control tool for therapeutic decision.

CADIMS is this tool. It is based on an integration of several segmentation algorithms developed by INRIA and an image viewer developed by b\<\>com and included in a regional images-sharing server ETIAM Nexus. This tool is a help showing segmented brain T2 lesions, gadolinium-enhanced T1 lesions and news T2 lesions appeared from the previous MRI exam, in a multicenter clinical context.
2. Objective To evaluate the accuracy of MS lesions detection on cerebral MRI by comparing the CADIMS tool to the expert consensus.

Detailed Description

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Conditions

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Multiple Sclerosis, Relapsing-Remitting

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* ≥ 18 years-old
* Patient with relapsing-remitting multiple sclerosis, according to the 2010 Mc Donald's criteria
* EDSS\<4
* Disease duration \< 10 years
* To insure a clinical demand of 2 brain MRIs within 12 months of the installation of an immunomodulatory therapy
* MRI brain scanner acquired according to the OFSEP recommendations installation of an immunomodulatory therapy

Exclusion Criteria

* Progressive MS
* no consent of the patient
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Association Neuro-Bretagne

UNKNOWN

Sponsor Role collaborator

Institut National de Recherche en Informatique et en Automatique

OTHER

Sponsor Role collaborator

Groupement de Coopération Sanitaire e-Santé Bretagne

UNKNOWN

Sponsor Role collaborator

Institut de Recherche Technologique b<>com

UNKNOWN

Sponsor Role collaborator

Rennes University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Jean-Christophe FERRE, PhD

Role: PRINCIPAL_INVESTIGATOR

Rennes University Hospital

Locations

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Centre Hospitalier Bretagne Sud

Lorient, , France

Site Status

Centre Hospitalier Universitaire de Rennes

Rennes, , France

Site Status

Centre Hospitalier

Rennes, , France

Site Status

Centre d'imagerie médicale de la découverte

St-Malo, , France

Site Status

Centre Hospitalier Bretagne Atlantique

Vannes, , France

Site Status

Countries

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France

Other Identifiers

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35RC16_8968 POCADIMS

Identifier Type: -

Identifier Source: org_study_id

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