Status:

UNKNOWN

Artificial Intelligence Analysis of Initial Scan Evolution of Traumatic Brain Injured Patient to Predict Neurological Outcome

Lead Sponsor:

University Hospital, Grenoble

Conditions:

Trauma, Brain

Eligibility:

All Genders

18+ years

Phase:

NA

Brief Summary

We assume that an early iterative automatic CT scan analysis (D0, D1 and D3) by different AI approaches will allow an early differentiation of the tissues evolution after TBI. Our objective is to coup...

Detailed Description

Traumatic brain injury is a common and serious pathology, responsible of an important morbi-mortality. The TBI can be consider as a complex set of nosological entities of different evolution with diff...

Eligibility Criteria

Inclusion

  • Age \> or = 18 years old
  • Closed TBI
  • Primary admission in Grenoble University Hospital
  • Initial CT scan with visible cerebral lesion rated at least 3 on abbreviated injury score (AIS)
  • In ICU for an expected length of 48 hours
  • Social security system affiliation

Exclusion

  • Life expectation \<48 hours
  • In ICU for more than 24h
  • Transferred from another hospital
  • Patients corresponding to articles L1121-5, L1121-6, L1121-7, L1121-8 (under legal protection) of French Public Health Code
  • Patient in exclusion time of another study

Key Trial Info

Start Date :

January 1 2020

Trial Type :

INTERVENTIONAL

Allocation :

ACTUAL

End Date :

October 12 2021

Estimated Enrollment :

30 Patients enrolled

Trial Details

Trial ID

NCT04058379

Start Date

January 1 2020

End Date

October 12 2021

Last Update

April 28 2021

Active Locations (1)

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1

University Hospital Grenoble

Grenoble, France