Using MRI to develop a virtual biopsy for glioma grading
Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging
NA · Poitiers University Hospital · NCT04313140
This study is testing a new way to use MRI scans to see if we can tell the grade of brain tumors called gliomas without needing to do a surgery.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 500 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Poitiers University Hospital (other) |
| Locations | 1 site (Poitiers) |
| Trial ID | NCT04313140 on ClinicalTrials.gov |
What this trial studies
This study aims to develop a virtual biopsy technique that utilizes magnetic resonance imaging (MRI) to accurately identify the grade of gliomas, which are tumors of the central nervous system. Currently, the only definitive way to determine tumor grade is through anatomical biopsy, which can be invasive. By leveraging artificial intelligence algorithms, this approach seeks to provide a non-invasive alternative for assessing tumor characteristics based on prior imaging. The goal is to enhance clinical decision-making and treatment planning for patients with suspected gliomas.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and older with suspected gliomas who have prior imaging available.
Not a fit: Patients who are unable to undergo MRI examinations or those with legal protections, such as minors or individuals under guardianship, may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could provide a less invasive method for glioma grading, improving patient comfort and potentially leading to more timely and appropriate treatments.
How similar studies have performed: While the use of MRI and artificial intelligence in tumor assessment is an emerging field, this specific approach to glioma grading through virtual biopsy is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
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
Where this trial is running
Poitiers
- CHU De Poitiers — Poitiers, France (RECRUITING)
Study contacts
- Study coordinator: Rémy GUILLEVIN, Pr
- Email: remy.guillevin@chu-poitiers.fr
- Phone: 05.49.44.45.42
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Development of the Virtual Biopsy, Tumor Grade, Artificial Intelligence Algorithms, Clinical, Radiological