Evaluation of MRI Biomarkers Predictive of Disability Progression in Patients With Multiple Sclerosis
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 250
- 试验地点
- 2
- 主要终点
- Identify imaging biomarkers at inclusion predictive of disability progression.
研究概览
简要总结
The transition from relapsing-remitting multiple sclerosis to secondarily progressive multiple sclerosis (SPMS) is difficult to identify. Typically, SPMS is diagnosed retrospectively, with a significant delay, on the basis of a clinical history of progressive worsening, independent of relapses. Thus, SPMS is often associated with a considerable period of diagnostic uncertainty.
The use of ultra-high field imaging can shed light on the mechanisms of disability progression thanks to its better spatial resolution and advanced imaging techniques.
The new morphological imaging techniques make it possible to visualize chronic inflammatory lesions and to evaluate their evolution. It also allows for the precise measurement of brain atrophy, a reference in the evaluation of neurodegeneration.
Metabolic imaging via proton spectroscopy allows the analysis of several promising cerebral metabolites that can provide information on cellular energy metabolism, mitochondrial function, or oxidative stress, and can help identify tissues at risk of neurodegeneration. Sodium imaging can provide information on axonal energy metabolism before the occurrence of stable and irreversible axonal damage. This technique is promising as an early marker of neurodegeneration.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Other
- 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,
- •Duration of disease ≤ 25 years,
- •Irreversible disability ≤ 7 (permanent wheelchair use) on the EDSS scale
排除标准
- •Other progressive neurological disease,
- •Isolated radiologic syndrome (RIS),
- •Severe psychiatric pathology not in balance,
- •Change in dosage, discontinuation or initiation of a psychotropic treatment within the last month,
- •Change in background MS treatment for less than 3 months,
- •A course of corticosteroids (oral or intravenous) for less than one month,
- •Patient with a contraindication to MRI: pregnancy, metallic ocular foreign body (accidental splinters or others), pacemaker, implantable defibrillator, neurostimulator not compatible with MRI 7.0 T, cochlear implants and in general any electronic medical equipment implanted in an irremovable way: metallic cardiac valve, vascular clips (formerly implanted on cranial aneurysm), metallic prosthesis...),
- •Illiterate and non-French speaking patient: patient who is partially or completely unable to read and write French.
- •Patient benefiting from reinforced protection, i.e. minor, subject deprived of liberty by a judicial or administrative decision, subject staying in a health or social establishment, adult under legal protection and finally patient in emergency situation,
- •Pregnant or breastfeeding women, women of childbearing age who do not have effective contraception (hormonal/mechanical: per os, injectable, transcutaneous, implantable, intrauterine device, or surgical: tubal ligation, hysterectomy, total oophorectomy)
结局指标
主要结局
Identify imaging biomarkers at inclusion predictive of disability progression.
时间窗: up to 24 months
Determine the correlation between biomarkers concentrations (in mmol/L) with physical disability at inclusion and during follow-up (6, 12, 18 and 24 months) in patients with multiple sclerosis. Physical disability is assessed by an Expanded Disability Status Scale plus (EDSS-plus). EDSS-Plus defined as progression on ⩾1 of 3 components (T25FW, 9HPT, EDSS). EDSS score is ordinal rating system ranging from 0 (normal neurological status) to 10 (death), Timed 25-Foot Walk test (T25FW) (second) and 9-Hole Peg Test (9HPT) based on the time for patient to take the 9 pegs and place them in the holes (second).
次要结局
- Determine the correlation between brain MRI and the concentration of imaging biomarkers (mmols) at 6, 12, 18 and 24 months.(up to 24 months)
- Develop realistic mathematical models of disease progression associated with clinical assessment of disability through dynamics, by the EDSS-plus score (EDSS scale from 0 to 10, T25FW in seconds, 9HPT in seconds).(up to 24 months)
- Develop an artificial intelligence algorithm to identify predictive markers for disability. The artificial intelligence algorithm utilizes patients' clinical (EDSSS-Plus Scale) and radiological (brain MRI) characteristics.(up to 24 months)