Virtual Biopsy Development to Identify Patient's Glioma Grade at the CHU of Poitiers Using Magnetic Resonance Imaging
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 500
- 试验地点
- 1
- 主要终点
- Validation of the virtual biopsy in the context of gliomas through the use of statistical learning algorithms (artificial intelligence) compared to the biopsy.
研究概览
简要总结
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •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
研究组 & 干预措施
Patient's Glioma grade
magnetic resonance spectroscopy
干预措施: Diagnostic test (Diagnostic Test)
结局指标
主要结局
Validation of the virtual biopsy in the context of gliomas through the use of statistical learning algorithms (artificial intelligence) compared to the biopsy.
时间窗: The MRI examination (for 2 hours 30 minutes)
Evaluate the diagnostic capabilities of artificial intelligence algorithms for virtual biopsy based on sensitivity and specificity
次要结局
未报告次要终点
