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Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging

Primary Purpose

Development of the Virtual Biopsy, Tumor Grade, Artificial Intelligence Algorithms

Status
Recruiting
Phase
Not Applicable
Locations
France
Study Type
Interventional
Intervention
Diagnostic test
Sponsored by
Poitiers University Hospital
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional diagnostic trial for Development of the Virtual Biopsy

Eligibility Criteria

18 Years - undefined (Adult, Older Adult)All SexesDoes not accept healthy volunteers

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

Sites / Locations

  • CHU De PoitiersRecruiting

Arms of the Study

Arm 1

Arm Type

Experimental

Arm Label

Patient's Glioma grade

Arm Description

magnetic resonance spectroscopy

Outcomes

Primary Outcome Measures

Validation of the virtual biopsy in the context of gliomas through the use of statistical learning algorithms (artificial intelligence) compared to the biopsy.
Evaluate the diagnostic capabilities of artificial intelligence algorithms for virtual biopsy based on sensitivity and specificity

Secondary Outcome Measures

Full Information

First Posted
March 16, 2020
Last Updated
February 7, 2023
Sponsor
Poitiers University Hospital
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1. Study Identification

Unique Protocol Identification Number
NCT04313140
Brief Title
Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging
Official Title
Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging
Study Type
Interventional

2. Study Status

Record Verification Date
February 2023
Overall Recruitment Status
Recruiting
Study Start Date
February 22, 2021 (Actual)
Primary Completion Date
June 2026 (Anticipated)
Study Completion Date
June 2026 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Poitiers University Hospital

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

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.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Development of the Virtual Biopsy, Tumor Grade, Artificial Intelligence Algorithms, Clinical, Radiological

7. Study Design

Primary Purpose
Diagnostic
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
500 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Patient's Glioma grade
Arm Type
Experimental
Arm Description
magnetic resonance spectroscopy
Intervention Type
Diagnostic Test
Intervention Name(s)
Diagnostic test
Intervention Description
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)
Primary Outcome Measure Information:
Title
Validation of the virtual biopsy in the context of gliomas through the use of statistical learning algorithms (artificial intelligence) compared to the biopsy.
Description
Evaluate the diagnostic capabilities of artificial intelligence algorithms for virtual biopsy based on sensitivity and specificity
Time Frame
The MRI examination (for 2 hours 30 minutes)

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Accepts Healthy Volunteers
No
Eligibility 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
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Rémy GUILLEVIN, Pr
Phone
05.49.44.45.42
Email
remy.guillevin@chu-poitiers.fr
Facility Information:
Facility Name
CHU De Poitiers
City
Poitiers
Country
France
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
Rémy GUILLEVIN, Pr
Phone
05.49.44.45.42
Email
remy.guillevin@chu-poitiers.fr

12. IPD Sharing Statement

Learn more about this trial

Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging

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