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Multiple SclerosisMS MRINCT06653283

Application of Multiparametric Structural and Functional MRI in Unraveling the Substrates of Cognitive Impairment and Disability in Multiple Sclerosis

An observational study of Multiple Sclerosis, run by Zhuo Wang at 1 site in China.

Unknown status

Status not confirmed. The sponsor has not verified this record for over two years, so it may be out of date.

Official record
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Trial summary

Multiple sclerosis (MS) is a disabling inflammatory demyelinating disease of the nervous system that predominantly affects white matter, because of its complicated pathogenesis, and overlapping clinical manifestations with other inflammatory demyelinating diseases diseases, which compromises clinical diagnosis and… Read more about this study

Who is it for?
Ages 18 years and olderHealthy volunteers can take part
Conditions the study is for
Multiple Sclerosis
How many people
104 participants
Where
1 siteChina
Study dates
20 Oct 2024to 30 Dec 2025
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 18 years and older
  • All sexes
  • Healthy volunteers accepted
  • Adult, Older adult

Study population: 44 age- and sex-matched HCs without neurological and psychological symptoms or a history of neuropsychological disorders were also included in the study.

Who may be able to join

  • o be included, they had to be (1) right-handed, (2) ≥ 18 years old

Who cannot join

  • without neurological and psychological symptoms or a history of neuropsychological disorders were also included in the study.

Trial locations and contacts

1 site in 1 country.

China1 site
  • MRI

    Lanzhou, Gansu, 730030

    Zhuo Wang, Doctor, 18142618122, 2892904774@qq.com

Other trials in China

About this study

Multiple sclerosis (MS) is a disabling inflammatory demyelinating disease of the nervous system that predominantly affects white matter, because of its complicated pathogenesis, and overlapping clinical manifestations with other inflammatory demyelinating diseases diseases, which compromises clinical diagnosis and assessment for some patients at an early stage, leading to delayed treatment. Therefore, the development and validation of simple, non-invasive, accurate biomarkers becomes an urgent need. Neurite orientation dispersion and density imaging (NODDI) is an advanced diffusion model applied to quantify the extent of neurite destruction, allowing early assessment of the integrity of brain white matter microstructure. Many previous studies have shown that diffusion tensor imaging (DTI) can reflect the damage caused by MS, but it cannot accurately describe the true course of fiber bundles, such as curved and crossed fiber bundles. In addition, most of the studies are cross-sectional and lack of longitudinal follow-up. In this study, NODDI technique was used to investigate the damage pattern of white matter microstructural integrity in the early stage of multiple sclerosis for early diagnosis and differential diagnosis. In addition, to evaluate the relationship between NODDI parameters and clinical disability and cognitive impairment in MS, reveal the relationship between the pattern of white matter microstructural integrity damage and the severity of the disease to improve the understanding of the pathophysiological mechanisms of clinical disability and cognitive impairment, and provide potential therapeutic targets. To search for imaging biomarkers that can assess/predict disability progression and cognitive deterioration in patients with MS. Based on the above results, we can then propose a comprehensive and individualized model for the initial diagnosis, progression and clinical prognosis in patients with MS.

Read the detailed description

Multiple sclerosis (MS) is a disabling inflammatory demyelinating disease of the nervous system that predominantly affects white matter, because of its complicated pathogenesis, and overlapping clinical manifestations with other inflammatory demyelinating diseases diseases, which compromises clinical diagnosis and assessment for some patients at an early stage, leading to delayed treatment. Therefore, the development and validation of simple, non-invasive, accurate biomarkers becomes an urgent need. Neurite orientation dispersion and density imaging (NODDI) is an advanced diffusion model applied to quantify the extent of neurite destruction, allowing early assessment of the integrity of brain white matter microstructure. Many previous studies have shown that diffusion tensor imaging (DTI) can reflect the damage caused by MS, but it cannot accurately describe the true course of fiber bundles, such as curved and crossed fiber bundles. In addition, most of the studies are cross-sectional and lack of longitudinal follow-up. In this study, NODDI technique was used to investigate the damage pattern of white matter microstructural integrity in the early stage of multiple sclerosis for early diagnosis and differential diagnosis. In addition, to evaluate the relationship between NODDI parameters and clinical disability and cognitive impairment in MS, reveal the relationship between the pattern of white matter microstructural integrity damage and the severity of the disease to improve the understanding of the pathophysiological mechanisms of clinical disability and cognitive impairment, and provide potential therapeutic targets. To search for imaging biomarkers that can assess/predict disability progression and cognitive deterioration in patients with MS. Based on the above results, we can then propose a comprehensive and individualized model for the initial diagnosis, progression and clinical prognosis in patients with MS.

Keywords
Multiple Sclerosis, Cognitive Impairment
Medical subject headings
Multiple Sclerosis, Cognitive Dysfunction

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

Study groups in NCT06653283
Study groupRoleWhat they receive
60 patients with RRMS and 44 age- and sex-matched healthy controlsA total of 104 participants, including 44 healthy controls (HCs) and 60 patients diagnosed with relapsing-remitting multiple sclerosis (RRMS) based on the 2017 revised McDonald criteria (Thompson AJ), were enrolled for this study. To be included, they had to be (1) right-handed, (2) ≥ 18 years old, (3) relapse- and steroid-free for at least 1 month before MRI acquisition, (4) conducting a stable disease-modifying treatment for at least 3 months. The exclusion criteria were as follows: (1) sleep disorder or taking medication for sleep, (2) a history of stroke, epilepsy, head trauma, and cerebral small vessel diseases, (3) neuropsychological or psychiatric disorders, (4) neuromyelitis optica spectrum disorders and myelin oligodendrocyte glycoprotein antibody-associated disease. 44 age- and sex-matched HCs without neurological and psychological symptoms or a history of neuropsychological disorders were also included in the study.

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. DTI-ALPS CPV

    diffusion tensor image analysis along the perivascular space (DTI-ALPS) choroid plexus volume

    Measured: one year

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted22 Oct 2024
  2. Study start20 Oct 2024 (estimated)
  3. Primary completion30 Oct 2025 (estimated)
  4. Study completion30 Dec 2025 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
104 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06653283
Sponsor's protocol ID
2024A-1077
Other IDs
21JR7RA438
Acronym
MS MRI
Status last verified
Jan 2024
First submitted
19 Oct 2024
Last updated
22 Oct 2024
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No

Questions about this trial

What is this clinical trial studying?

An observational study of Multiple Sclerosis, run by Zhuo Wang at 1 site in China.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: status not confirmed, as of the sponsor's last update on 22 Oct 2024. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

Results are not available in the source record.

How can a doctor refer a patient or contact the research team?

Contact zhuo wang (18142618122, 2892904774@qq.com), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

DTI-ALPS CPV (time frame: one year). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 22 Oct 2024; AzTrials last refreshed its copy on 7 Nov 2026.

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