Artificial Intelligence Analysis of Initial Scan Evolution of Traumatic

Status Active, not recruiting

Clinical Trial 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.

Clinical Trial 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: 1. - To show aspects of images that can't be seen to the naked eye 2. - 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. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT04058379
Study type	Interventional
Source	University Hospital, Grenoble
Contact
Status	Active, not recruiting
Phase	N/A
Start date	January 1, 2020
Completion date	October 12, 2021

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Clinical trials are conducted in a series of steps, called phases - each phase is designed to answer a separate research question.

Phase 1: Researchers test a new drug or treatment in a small group of people for the first time to evaluate its safety, determine a safe dosage range, and identify side effects.
Phase 2: The drug or treatment is given to a larger group of people to see if it is effective and to further evaluate its safety.
Phase 3: The drug or treatment is given to large groups of people to confirm its effectiveness, monitor side effects, compare it to commonly used treatments, and collect information that will allow the drug or treatment to be used safely.
Phase 4: Studies are done after the drug or treatment has been marketed to gather information on the drug's effect in various populations and any side effects associated with long-term use.

Artificial Intelligence Analysis of Initial Scan Evolution of Traumatic Brain Injured Patient to Predict Neurological Outcome — RADIOMIC-TBI

Clinical Trial Summary

Clinical Trial Description

Study Design

Related Conditions & MeSH terms