Artificial Intelligence Algorithms, Clinical, Development of the Virtual Biopsy, Radiological, Tumor Grade
Conditions
Brief summary
Glioma is a tumor of the central nervous system. These lesions are sorted with the WHO ranking regarding the tumoral oncotype. The tumoral MRI assessment is the first step before any medical decision. Currently, only anatomical biopsy can give the tumor grade definition and help to define the most adapted treatment.
Interventions
DIAGNOSTIC_TESTDiagnostic test
The intervention occurs only one time (for 2h30), the MRI examination is divided as follow: * Cinicial MRI (50 minutes) * Research MRI (Phosphorus Spectroscopy, Sodium Imaging)
Sponsors
Poitiers University Hospital
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Age≥ 18 years, * Patient with suspected glioma with prior imaging * Subject free, with legal protection guardianship or curatorship; * Enrollment in the French Social Security system; * Informed consent signed by the patient
Exclusion criteria
* Any contraindication to an MRI examination * Legal protection, namely minors, persons deprived of their liberty by a judicial or administrative decision, persons residing in a health or social establishment, adults under legal protection and finally patients in emergency situations * Pregnant or lactating women, women of childbearing age who do not have effective contraception
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Validation of the virtual biopsy in the context of gliomas through the use of statistical learning algorithms (artificial intelligence) compared to the biopsy. | The MRI examination (for 2 hours 30 minutes) | Evaluate the diagnostic capabilities of artificial intelligence algorithms for virtual biopsy based on sensitivity and specificity |
Countries
France
Contacts
CONTACTRémy GUILLEVIN, Pr
Outcome results
None listed