Spinal Cord and Artificial Intelligence
NCT02833428 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1
Last updated 2023-03-07
Summary
The aim of this study was to analyze using an artificial intelligence engine (IA) the influence of the pathophysiological environment (set parametric monitoring data, imaging, biology etc.) of acute spinal cord trauma on spinal pain. This project seeks to establish the principles of a new approach for studying spinal cord injury patients. It does not meet the usual criteria of clinical trials in so far as it does not test on patients the effect of a therapeutic
Conditions
- Spinal Cord Injuries
Interventions
- DEVICE
-
Biomedical equipment (Eclipse Nim, Medtronic®)
It is the principal investigator (coordinator investigator moving on the website of the Pitié-Salpêtrière) that will install bedside biomedical equipment for the project (Eclipse Nim, Medtronic®) The term of monitoring will depend of length of stay in the PACU (the post anesthesia care unit) Gaston Cordier and will not exceed 72 hours. • Patients will be reviewed at 6 and 12 months for conventional control with establishing a ASIA score (American Spinal Cord Injury Association). Of SEP (Somatosensory evoked potentials) and MEP(Motor Engine Potentials) will be performed in the laboratory at 6 and 12 months (electrophysiology laboratory Pitié-Salpêtrière). They are part of the traditional support in the context of spinal cord trauma.
Sponsors & Collaborators
-
Fondation Hôpital Saint-Joseph
lead OTHER
Principal Investigators
-
RIOUALLON Guillaume, MD · Groupe Hospitalier Paris Saint-Joseph (FRANCE)
Study Design
- Allocation
- NA
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2018-01-20
- Primary Completion
- 2022-01-20
- Completion
- 2023-12-20
Countries
- France
Study Locations
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