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Status unknownNCT04058379RADIOMIC-TBIUpdated Apr 28, 2021

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

An interventional study of CT scan in Trauma, Brain, sponsored by University Hospital, Grenoble. Status unknown at 1 site in France. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2021-04-28.

Sponsored by University Hospital, Grenoble · Not applicable, Interventional, and Prevention

The sponsor has not verified this record recently (last verified Nov 2020), so the status shown — last known as Active, not recruiting — may be out of date.
Phase
Not applicable
Study type
Interventional
Enrollment
30
Allocation
Not applicable
Ages
18 Years and older
Sex
All
01

Study 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 couple theses scan profiles to a neurological evolution, measured by therapeutic intensity.

Read the 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 difficult early identification whereas the main issue of this pathology depends on prevention and management of the lesions caused by the initial cerebral aggression.

Different evolutionary profiles seems to exist and sometimes coexists: edema evolution, hemorrhagic transformation and/or cerebrospinal fluid (CSF) resorption issues with hydrocephalus apparition.

Currently, there is no Imaging methods that can be used in every day clinical management that allows a visualization, quantification and prediction of these different lesional evolutions

CT scan is the reference imaging method for TBI patient monitoring. It allows a lesion description, a therapeutic adaptation and an evaluation of the prognostic.

Even if it is used as a routine examination, the analysis of cerebral scanners remains manual and a non-quantitative one, which make a little informative analysis as far as lesions evolution is concerned.

Recently it has been established the automatic MRI analysis with AI approach allows:

    • To show aspects of images that can't be seen to the naked eye
    • To automatically segment and quantify the different tissues (edema, hemorrhage...). First tests on this kind of analysis on CT scans shows that this technology can be transferred from MRI to CT scans and more importantly it brings out new quantitative informations on cerebral lesions evolution.
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Conditions studied

  • Trauma, Brain
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In context

Brain Injuries, Traumatic

1,775 studies on the registry are indexed under Brain Injuries, Traumatic; 449 are open to participants now.

This study's enrollment of 30 is below the median of 56 across 1,134 interventional studies indexed under Brain Injuries, Traumatic.

Browse Brain Injuries, Traumatic studies →

Lead sponsor

University Hospital, Grenoble is the lead sponsor of 815 studies on the registry; 205 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • 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 criteria

Exclusion Criteria:

  • 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
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Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
30 participants (actual)

Study arms

  • Experimental
    CT scan

    During this study each patient will have 3 CT scans : D0, D1 and D3. A daily follow up during first seven days in ICU, then a follow up at D28 if still in hospital, and a phone call at M6 for neurological outcome

    Radiation: CT scan

Interventions

  • RadiationCT scan

    3 ct scans : D0, D1 and D3

06

What researchers measure

Primary outcomes

  1. Clinical evolution during first 7 days in ICU with therapeutic intensity level (TILsum)

    Composite criteria : Head position, depth, sort and objective of sedation, presence or absence of a CSF draining system, management of ventilation, presence or absence of a hyperosmolar therapy, management of body temperature, surgical intervention for intracranial hypertension.

    Time frame: 7 days after TBI

Secondary outcomes

  1. Mortality according to scan profiles

    Time frame: 28 days after TBI and 6 month after TBI

  2. Morbidity (consequences of the trauma) according to scan profiles

    Lenght of stay in ICU with more than 20 mmHg of intracranial pressure with no stimulation

    Time frame: 28 days after TBI

  3. Morbidity (consequences of the trauma) according to scan profiles

    length of stay in ICU with a therapeutic intensity level \> or = 8,

    Time frame: 28 days after TBI

  4. Morbidity (consequences of the trauma) according to scan profiles

    Hospital stay length

    Time frame: 28 days after TBI

  5. Morbidity (consequences of the trauma) according to scan profiles

    ICU stay length days with mechanical ventilation

    Time frame: 28 days after TBI

  6. Morbidity (consequences of the trauma) according to scan profiles

    Glasgow Outcome Scale (GOSe)

    Time frame: 6 months after TBI

  7. Comparison and Description of correlation between early scan profiles evolution signature by AI and to clinical evolution (with TILSum)

    Analysis of main outcome (TIL sum after 7 days in ICU maximum) according to a kinetic scan evolution between D0, D1 and D3

    Time frame: 7 days after TBI

  8. Neurological Pupil Index

    Measure of neurological pupilla index within 1h after admission and at D1

    Time frame: 1 day after TBI

07

Study locations

1 site
  • University Hospital Grenoble
    Grenoble, France
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 28, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04058379
Lead sponsor
University Hospital, Grenoble
Responsible party
Sponsor
First posted
Aug 15, 2019
Start date
Jan 1, 2020
Primary completion
Apr 12, 2021
Completion
Oct 12, 2021 (estimated)
Last update
Apr 28, 2021

Study contacts

Pierre BOUZAT
principal investigator · University Hospital, Grenoble

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Nov 2020. You cannot join it, but the record below documents what was studied.

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