Multimodal Resonance Imaging for Outcome Prediction on Coma Patients
NCT00577954 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 417
Last updated 2017-09-21
Summary
Stroke, traumatic head injury, subarachnoid hemorrhage and cerebral anoxia are main causes of a coma condition implying severe brain damage and thus, poor prognosis. Clinicians are often in need for a tool able to predict the awakening of these patients. Multimodal MRI, associating the traditional morphological sequences with spectroscopy-MRI (MRS) and the diffusion tensor imaging, could provide such a prediction.
Conditions
- Coma
Interventions
- PROCEDURE
-
Multimodal MRI
Multimodal MRI
Sponsors & Collaborators
-
Assistance Publique - Hôpitaux de Paris
lead OTHER
Principal Investigators
-
Pr Louis Puybasset,, MD, PhD · Assistance Publique Hopitaux de Paris Pitié Salpetriere
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2006-10-31
- Primary Completion
- 2010-03-31
- Completion
- 2014-06-30
Countries
- France
Study Locations
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