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| Name | Class |
|---|---|
| Association Neuro-Bretagne | UNKNOWN |
| Institut National de Recherche en Informatique et en Automatique | OTHER |
| Groupement de Coopération Sanitaire e-Santé Bretagne | UNKNOWN |
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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.
Objective To evaluate the accuracy of MS lesions detection on cerebral MRI by comparing the CADIMS tool to the expert consensus.
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| Measure | Description | Time Frame |
|---|---|---|
| Concordance among the number of new T2 lesions, the total number of T2 lesions and the number of gadolinium enhanced lesions on brain MRIs identified by the CADIMS tool and by the expert consensus | At the end of the enrollment |
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Inclusion Criteria:
Exclusion Criteria:
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Relapsing-remitting multiple sclerosis patients
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| Name | Affiliation | Role |
|---|---|---|
| Jean-Christophe FERRE, PhD | Rennes University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centre Hospitalier Bretagne Sud | Lorient | 56322 | France | |||
| Centre Hospitalier Universitaire de Rennes |
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| ID | Term |
|---|---|
| D020529 | Multiple Sclerosis, Relapsing-Remitting |
| D009103 | Multiple Sclerosis |
| D004194 | Disease |
| ID | Term |
|---|---|
| D020278 | Demyelinating Autoimmune Diseases, CNS |
| D020274 | Autoimmune Diseases of the Nervous System |
| D009422 | Nervous System Diseases |
| D003711 | Demyelinating Diseases |
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| Institut de Recherche Technologique b<>com |
| UNKNOWN |
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| Rennes |
| 35000 |
| France |
| Centre Hospitalier | Rennes | 35500 | France |
| Centre d'imagerie médicale de la découverte | St-Malo | 35400 | France |
| Centre Hospitalier Bretagne Atlantique | Vannes | 56017 | France |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |