Magnetic Resonance Imaging in Cerebral Small Vessel Disease

NCT ID: NCT05200377

Last Updated: 2022-07-20

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-01-01

Study Completion Date

2025-12-31

Brief Summary

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Cerebral small vessel disease (cSVD) accounts for 20% of ischemic strokes and is the most common cause of vascular cognitive impairment. Early identification of cSVD is critical for early intervention and improve clinical outcomes. Magnetic resonance imaging (MRI) may represent as a sensitive and robust tool to detect early changes in brain subtle structures and functions. The study is to investigate the comprehensive evaluation of brain structures and vascular functions by using advanced MRI technologies in early diagnosis and management of cSVD.

Detailed Description

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Cerebral small vessel disease (cSVD) accounts for 20% of ischemic strokes and is the most common cause of vascular cognitive impairment. Early identification of cSVD is critical for early intervention and improve clinical outcomes. Magnetic resonance imaging (MRI) is sensitive to change in white matter structure and subtle vascular function alternation which correlates with cognition impairments in cSVD. MRI manifestation may also represent as useful surrogate marker. Development of advanced MRI technologies promotes their invaluable application in brain and vascular qualitative and quantitative assessment. The study is to investigate the comprehensive evaluation of brain structures and vascular functions by using advanced MRI technologies in early diagnosis and management of cSVD.

Conditions

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Cerebral Small Vessel Diseases MRI

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Cerebral small vessel disease group

Patients with clinically and radiologically evidenced cerebral small vessel disease. Patients are grouped by severity of cerebral small vessel disease assessed by comprehensive MRI findings.

Magnetic resonance imaging

Intervention Type DIAGNOSTIC_TEST

Patients recruited will receive Magnetic resonance imaging.

Interventions

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Magnetic resonance imaging

Patients recruited will receive Magnetic resonance imaging.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Clinical evidence of cerebral small vessel disease or MRI evidence of lacunar infarcts and white matter hyperintensity
* No disability (modified Rankin's scale \< 2)
* No dementia (MMSE \> 24 and absence of dependence in daily activities)
* Able and willing to consent

Exclusion Criteria

* Contraindications to MRI
* Standard MRI of bad quality due to movement artefacts
* Pregnant
* Unable to tolerate MRI
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Chinese PLA General Hospital

OTHER

Sponsor Role lead

Responsible Party

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Xin Lou

Department of Radiology

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Xin Lou, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Chinese PLA General Hospital

Locations

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Chinese PLA General Hospital

Beijing, , China

Site Status RECRUITING

Countries

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China

Central Contacts

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Kun Cheng, M.S.

Role: CONTACT

+8619921784434

Facility Contacts

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Kun Cheng, M.S.

Role: primary

+86 19921784434

References

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Wardlaw JM, Smith C, Dichgans M. Small vessel disease: mechanisms and clinical implications. Lancet Neurol. 2019 Jul;18(7):684-696. doi: 10.1016/S1474-4422(19)30079-1. Epub 2019 May 13.

Reference Type BACKGROUND
PMID: 31097385 (View on PubMed)

Duan C, Bian X, Cheng K, Lyu J, Xiong Y, Xiao S, Wang X, Duan Q, Li C, Huang J, Hu J, Wang ZJ, Zhou X, Lou X. Synthesized 7T MPRAGE From 3T MPRAGE Using Generative Adversarial Network and Validation in Clinical Brain Imaging: A Feasibility Study. J Magn Reson Imaging. 2024 May;59(5):1620-1629. doi: 10.1002/jmri.28944. Epub 2023 Aug 9.

Reference Type DERIVED
PMID: 37559435 (View on PubMed)

Other Identifiers

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ChinaPLAGH-Radiology

Identifier Type: -

Identifier Source: org_study_id

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