Quantitative Susceptibility Biomarker and Brain Structural Property for Cerebral Cavernous Malformation Related Epilepsy

NCT ID: NCT04076449

Last Updated: 2019-09-04

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

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2019-09-03

Study Completion Date

2026-12-31

Brief Summary

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Cerebral cavernous malformation (CCM)-related epilepsy (CRE) impairs the quality of life in patients with CCM. Patients could not always achieve seizure freedom after surgical resection of the lesion, suggesting an inadequate treatment and evaluation of the epileptogenic zone or network. Iron deposition in cerebral cavernous malformations has been postulated to play an important role in triggering CRE. Quantitative susceptibility mapping (QSM), as an optimal in vivo imaging technique to quantify iron deposition, is employed to analyze the iron quantity in CCM patients with epilepsy and further combined with brain structural and connectome analysis, to describe the difference between CCMs with and without epilepsy. In vivo biomarkers predicting CRE risk in CCM natural history and CRE control outcome after CCM surgical resection will be further identified to improve management strategy.

Detailed Description

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The CRESS study is a prospective observational study of imaging biomarker for cerebral cavernous malformation (CCM) related epilepsy (CRE) risk in natural history or after surgical resection. This project, funded by the National Nature Science Foundation of China, will be performed in two sites: Bejing Tiantan Hospital, Capital Medical University and Peking University International Hospital, which cover the south and north part of Beijing. Bejing Tiantan Hospital is also the China National Clinical Research Center for Neurological Diseases and the largest neurological center with high volume of patients all over the nation.

Study overview: Each participants will be followed for 5 year since enrollment. Epilepsy will be tracked with serial video EEG recordings and clinical investigations performed annually. Besides medical history of the patients, data from seizure diary and MR imaging studies (including quantitative susceptibility mapping, diffusion tensor imaging and three dimension-T1 weighted imaging), will be collected. Blood samples and tissue samples of surgical resected lesion for biomarkers studies will also be collected in all participants of the project. The data obtained in participants of CCM with or without epilepsy will be compared.

Sample size: Investigators plan to enroll 200 CCM patients in 24 months and follow up for 5 years. Based upon the preliminary results and extensive literature review, investigators predict that about 50% of participants will undergo surgical treatment, while 25% of participants remain suffering from seizure after treatment.

Study endpoints: The primary clinical endpoint of this study is a collection of a set of clinical, molecular, and MRI data in all participants.

Conditions

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Cavernous Malformation, Cerebral Cavernous Angioma Cavernous Hemangioma Cavernous Hemangioma of Brain Seizures Seizures, Epileptic Epilepsy

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Cerebral Cavernous Malformation with Epilepsy

Patients with cerebral cavernous malformation and associated with epilepsy will undergo MR imaging and be followed-up annually as our protocol defined.

No interventions assigned to this group

Cerebral Cavernous Malformation without Epilepsy

Patients with cerebral cavernous malformation but without epilepsy will undergo MR imaging and be followed-up annually as our protocol defined.

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* (1) 18 to 70 years of age
* (2) Diagnosed with a single cerebral cavernous malformation
* (3) No prior treatment of the symptomatic lesion

Exclusion Criteria

* (1) Associated with brain lesions and/or tumors other than CCM
* (2) History of previous intracranial surgery
* (3) Prior brain irradiation
* (4) Contraindication or unwilling or unable to undergo research MRI studies
* (5) Pregnant or breastfeeding women
* (6) Persons unable or unlikely to return for follow-up visits
* (7) Dementia or other progressive neurological disease
Minimum Eligible Age

18 Years

Maximum Eligible Age

70 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Peking University International Hospital

OTHER

Sponsor Role collaborator

yuanli Zhao

OTHER

Sponsor Role lead

Responsible Party

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yuanli Zhao

Professor, Department of Neurosurgery

Responsibility Role SPONSOR_INVESTIGATOR

Principal Investigators

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Li Ma, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Beijing Tiantan Hospital

Locations

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Beijing Tiantan Hospital, Capital Medical University

Beijing, Beijing Municipality, China

Site Status RECRUITING

Peking University International Hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Li Ma, MD, PhD

Role: CONTACT

86-010-59978317

Yuanli Zhao, MD

Role: CONTACT

86-010-59978478

Facility Contacts

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Li Ma, MD, PhD

Role: primary

86-010-59978317

Yuanli Zhao, MD

Role: backup

86-010-59978478

Zongze Li, MD

Role: primary

86-13121226581

References

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Liu Y, Wen Z, Yuan J, Ma L, Wu C, Wu J, Liu Q, Zhang S, Wang S. Venous Architecture Predicts Hemorrhage Risk in Sporadic CCM With DVA. Stroke. 2025 Sep 3. doi: 10.1161/STROKEAHA.125.052339. Online ahead of print.

Reference Type DERIVED
PMID: 40899314 (View on PubMed)

Ma L, Zhang S, Li Z, Wu CX, Wang Z, Zhan L, Hao Q, Wang H, Ye X, Chen X, Liu YO, Wang S, Zhao YL. Morbidity After Symptomatic Hemorrhage of Cerebral Cavernous Malformation: A Nomogram Approach to Risk Assessment. Stroke. 2020 Oct;51(10):2997-3006. doi: 10.1161/STROKEAHA.120.029942. Epub 2020 Sep 21.

Reference Type DERIVED
PMID: 32951540 (View on PubMed)

Other Identifiers

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H0906 81801140

Identifier Type: OTHER_GRANT

Identifier Source: secondary_id

KYSQ 2018-020-01

Identifier Type: -

Identifier Source: org_study_id

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