Multimodal Resonance Imaging for Outcome Prediction on Coma Patients (MRI-Coma)
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| First Received Date ICMJE | December 19, 2007 | ||||
| Last Updated Date | December 10, 2012 | ||||
| Start Date ICMJE | October 2006 | ||||
| Primary Completion Date | March 2010 (final data collection date for primary outcome measure) | ||||
| Current Primary Outcome Measures ICMJE |
To define a quantified indicator resulting from the analysis of the multimodal MRI combined with clinical data to create a score to predict the 1 year outcome as measured by the dichotomized Glasgow Outcome Scale (extended version [GOSE]). [ Time Frame: one year ] [ Designated as safety issue: No ] | ||||
| Original Primary Outcome Measures ICMJE |
composite (MRI + clinical data) score to predict, the 1 year outcome as measured by the dichotomized Glasgow Outcome Scale [GOSE]. [ Time Frame: one year ] [ Designated as safety issue: No ] | ||||
| Change History | Complete list of historical versions of study NCT00577954 on ClinicalTrials.gov Archive Site | ||||
| Current Secondary Outcome Measures ICMJE |
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| Original Secondary Outcome Measures ICMJE |
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| Current Other Outcome Measures ICMJE | Not Provided | ||||
| Original Other Outcome Measures ICMJE | Not Provided | ||||
| Descriptive Information | |||||
| Brief Title ICMJE | Multimodal Resonance Imaging for Outcome Prediction on Coma Patients | ||||
| Official Title ICMJE | Multimodal Magnetic Resonance (MRI) Development in Comatose Patients for an Algorithm in the Prediction of Consciousness Recovery | ||||
| Brief 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. |
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| Detailed Description | Predicting the awakening of patients in comas is one of the principal stakes of the current neurointensive care unit (neuroICU). Several studies and clinical practice suggest that the multimodal MRI, which associates the traditional morphological sequences (T1, T2*, FLAIR/T2), the spectroscopy-MRI (MRS) and the diffusion tensor imaging, is a tool allowing such a prediction. However, this strategy has not been yet validated. Additionally, currently there is no method of analysis including the 4 different sequences. Objective: The goal of this study is to develop a composite score able to predict the awakening of coma patients following events such as a severe cranial trauma, ischemic or hemorrhagic cerebrovascular accident and cerebral anoxia. This composite score will be built from the results of the multimodal MRI (quantified indicator) in combination with clinical covariables (e.g., age of the patient, the mechanism of the accident (high versus low speed), etc.). The final score will aim to predict the outcome of patients at 1 year, evaluated by one of the following categories: favourable (Glasgow Outcome Scale (GOS 3+, 4, and 5) or unfavourable outcome (GOS 1, 2, and 3). GOS 3- score has been defined as minimally conscious state and GOS 3+ score as severe disability excluding cognitive sequelae. MRI Analysis: The lesions present on the MRI will be quantified by a neuroradiologist and a dedicated clinical engineer from the coordination centre (Pitié-Salpêtrière Hospital) in a blinded way regarding patients' clinical data. Lesion load-indicators will be calculated on the sequences of FLAIR/T2, T2*, MRS and diffusion tensor imaging from a predefined analysis grid allowing the regional study of the lesions as well as the appreciation of their nature, their uni- or bilateral character and if bilateral, their symmetry. Hypothesis and applicability: The multivariate analysis of morphological MRI, MRS and diffusion tensor imaging data, combined with the clinical covariables, will aim to develop a statistical algorithm, able to predict the clinical outcome of the patients. In the long term, it will be integrated into an expert system which will be the subject of a patent submission. The final objective is to provide the clinicians a diagnostic tool able to determine outcome of patients with severe cranial trauma and other neurological conditions such as stroke, subarachnoid hemorrhage and cerebral anoxia. |
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| Study Type ICMJE | Observational | ||||
| Study Design ICMJE | Observational Model: Cohort Time Perspective: Prospective |
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| Target Follow-Up Duration | Not Provided | ||||
| Biospecimen | Not Provided | ||||
| Sampling Method | Non-Probability Sample | ||||
| Study Population | Traumatic brain injured patients, stroke patients, subarachnoid hemorrhage (SAH) patients and cerebral anoxia patients |
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| Condition ICMJE | Coma | ||||
| Intervention ICMJE | Procedure: Multimodal MRI
Multimodal MRI
Other Name: Multimodal MRI |
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| Study Group/Cohort (s) | 1
Patients in a coma condition after a traumatic brain injury (250), stroke, cerebral anoxia or subarachnoid hemorrhage (150), for at least 7 days.
Intervention: Procedure: Multimodal MRI |
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| Publications * | Luyt CE, Galanaud D, Perlbarg V, Vanhaudenhuyse A, Stevens RD, Gupta R, Besancenot H, Krainik A, Audibert G, Combes A, Chastre J, Benali H, Laureys S, Puybasset L; Neuro Imaging for Coma Emergence and Recovery Consortium. Diffusion tensor imaging to predict long-term outcome after cardiac arrest: a bicentric pilot study. Anesthesiology. 2012 Dec;117(6):1311-21. doi: 10.1097/ALN.0b013e318275148c. | ||||
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* Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline. |
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| Recruitment Information | |||||
| Recruitment Status ICMJE | Completed | ||||
| Enrollment ICMJE | 417 | ||||
| Completion Date | March 2010 | ||||
| Primary Completion Date | March 2010 (final data collection date for primary outcome measure) | ||||
| Eligibility Criteria ICMJE | Inclusion Criteria:
Exclusion Criteria:
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| Gender | Both | ||||
| Ages | 18 Years and older | ||||
| Accepts Healthy Volunteers | No | ||||
| Contacts ICMJE | Contact information is only displayed when the study is recruiting subjects | ||||
| Location Countries ICMJE | France | ||||
| Administrative Information | |||||
| NCT Number ICMJE | NCT00577954 | ||||
| Other Study ID Numbers ICMJE | P051061 | ||||
| Has Data Monitoring Committee | No | ||||
| Responsible Party | Assistance Publique - Hôpitaux de Paris | ||||
| Study Sponsor ICMJE | Assistance Publique - Hôpitaux de Paris | ||||
| Collaborators ICMJE | Not Provided | ||||
| Investigators ICMJE |
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| Information Provided By | Assistance Publique - Hôpitaux de Paris | ||||
| Verification Date | December 2008 | ||||
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ICMJE Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP |
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