Anatomical Variation of Cerebral Venous Sinus in Healthy Individuals

NCT ID: NCT05413837

Last Updated: 2023-04-18

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

UNKNOWN

Total Enrollment

40 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-07-06

Study Completion Date

2023-08-31

Brief Summary

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The anatomical characteristics of veins and venous sinus result in great differences between cerebral venous system diseases and cerebral artery diseases in etiology, pathophysiology and clinical features.Therefore, understanding the anatomy and variation of normal venous sinuses is essential to identify the intracranial venous lesions.

Detailed Description

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The classification of venous sinus and its variation based on the autopsy of patients can not fully reflect the real anatomy and variation of venous sinus in human, and the targeted research on healthy people is still unknown. The main purpose of this research is to use multimodal magnetic resonance technology to study the variation of venous sinus in Chinese healthy population, to preliminarily improve the anatomical classification of venous sinus in Chinese , to verify the the correlation between venous sinus variation and various non-genetic factors at the same time, as well as establishing reliable quantitative evaluation indicators.

Conditions

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Venous Sinus Thrombosis, Cranial

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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anotomy and variation of venous sinus

Contrast enhanced-magnatic resonance venography(CE-MRV)and other magnetic resonance imaging methods are used to estimate the anatomy of cerebral venous sinus.

Intervention Type DIAGNOSTIC_TEST

the level of biomarker in bood

Elisa or omics analysis is used to test the level of biomarker in blood.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Age 18 - 35 years old.
2. Confirmed no intracranial diseases, congenital abnormalities such as intracranial hematoma, tumor, vascular malformation, hydrocephalus, etc.
3. Voluntarily signed informed consent.

Exclusion Criteria

1. Any clinical history, including hypertension, diabetes, coronary heart disease, hematologic and rheumatic immune system diseases,cervical spondylosis, anxiety, depression, insomnia, etc.
2. Internal jugular venous outflow disturbance : MRV from extracranial to aortic arch demonstrates variation or stenosis of the internal jugular vein, vertebral plexus, brachiocephalic vein, and superior vena cava.
3. Any history of craniocerebral trauma or surgery that affected the existence and running of veins.Unhealthy habits such as smoking, heavy drinking, etc.
4. Women who are pregnant or in preparation for pregnancy or lactation.
5. Other conditions that the researchers considered might affect the trial and inappropriate for inclusion.
Minimum Eligible Age

18 Years

Maximum Eligible Age

35 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Capital Medical University

OTHER

Sponsor Role lead

Responsible Party

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Ji Xunming,MD,PhD

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Xunming Ji, MD.PhD

Role: PRINCIPAL_INVESTIGATOR

Xuanwu Hospital, Beijing

Locations

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Xuanwu hospital;Capital Medical University

Beijin, XI Cheng District, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Xunming Ji, MD.PhD

Role: CONTACT

010-83199430

Lu Liu, MD

Role: CONTACT

13370186128

Facility Contacts

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Xunming Ji

Role: primary

+86-10-83198952

References

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Cheng Y, Li WA, Fan X, Li X, Chen J, Wu Y, Meng R, Ji X. Normal anatomy and variations in the confluence of sinuses using digital subtraction angiography. Neurol Res. 2017 Jun;39(6):509-515. doi: 10.1080/01616412.2017.1323383. Epub 2017 May 11.

Reference Type BACKGROUND
PMID: 28494642 (View on PubMed)

Other Identifiers

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CVSAV-HI

Identifier Type: -

Identifier Source: org_study_id

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