Extracranial Carotid Artery Aneurysm Clinical Trial
Official title:
Seeking the Link Between Extracranial Carotid Artery Aneurysms and Small Vessel Disease
NCT number | NCT05828576 |
Other study ID # | 22-781 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | March 30, 2023 |
Est. completion date | April 1, 2025 |
Verified date | April 2023 |
Source | UMC Utrecht |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
In order to understand which ECAA patients benefit from medical therapy, more should be known about the possible outcomes of this rare disease. Small vessel disease seen on brain MRI's could be a good marker to assess possible silent cerebrovascular disease caused by ECAA's, suggesting underlying generalized vascular disease. With this knowledge, medical therapy for ECAA patients can be optimized and individualized to treat possible generalized vascular disease, aiding physicians in choosing a treatment strategy.
Status | Recruiting |
Enrollment | 50 |
Est. completion date | April 1, 2025 |
Est. primary completion date | April 1, 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Patient older than 18 years registered in the CAR treated with conservative therapy - Willingness and ability to participate in all scheduled procedures outlined in the protocol - Understanding of the Dutch language - Patient is able and willing to give informed consent. Exclusion Criteria: - Inclusion criteria are not met - Subjects registered in the CAR that have undergone surgical or endovascular treatment of the ECAA - Contradictions for MRI, such as 1) metallic objects in or around the body (e.g. cardiac implantable electronic device such as pacemakers and implantable cardioverter defibrillators (ICD); 2) claustrophobia, 3) pregnancy. - Other major neurological or psychiatric conditions affecting the brain and interfering with the study design (e.g. multiple sclerosis, epilepsy, Parkinson's disease, vascular dementia) - Unable to read or write the patient information letter and broad consent file - Patients who have a life expectancy of less than two years due to a pre-existing condition e.g. cancer |
Country | Name | City | State |
---|---|---|---|
Netherlands | UMCU | Utrecht | Zuid Holland |
Lead Sponsor | Collaborator |
---|---|
UMC Utrecht |
Netherlands,
Ghaznawi R, Geerlings MI, Jaarsma-Coes M, Hendrikse J, de Bresser J; UCC-Smart Study Group. Association of White Matter Hyperintensity Markers on MRI and Long-term Risk of Mortality and Ischemic Stroke: The SMART-MR Study. Neurology. 2021 Apr 27;96(17):e2 — View Citation
van Laarhoven CJHCM, Rots ML, Pourier VEC, Jorritsma NKN, Leiner T, Hendrikse J, Vergouwen MDI, de Borst GJ. Gadolinium Enhancement of the Aneurysm Wall in Extracranial Carotid Artery Aneurysms. AJNR Am J Neuroradiol. 2020 Mar;41(3):501-507. doi: 10.3174/ — View Citation
Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, Lindley RI, O'Brien JT, Barkhof F, Benavente OR, Black SE, Brayne C, Breteler M, Chabriat H, Decarli C, de Leeuw FE, Doubal F, Duering M, Fox NC, Greenberg S, Hachinski V, Kilimann I, M — View Citation
Welleweerd JC, den Ruijter HM, Nelissen BG, Bots ML, Kappelle LJ, Rinkel GJ, Moll FL, de Borst GJ. Management of extracranial carotid artery aneurysm. Eur J Vasc Endovasc Surg. 2015 Aug;50(2):141-7. doi: 10.1016/j.ejvs.2015.05.002. Epub 2015 Jun 24. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Small vessel disease in ECAA patients | To assess the presence of ipsilateral small vessel disease (i.e. WMHs, lacunes, microbleeds, perivascular spaces, and recent small subcortical infarcts) based on 3 tesla (3T) brain MRI in patients with ECAA | 2023-2025 | |
Secondary | Small vessel disease in ECAA patients in time | To investigate the progression of small vessel disease over time. Title: Progression of small vessel disease in ECAA patients over time
Description: This study aims to investigate the progression of small vessel disease in ECAA patients over a two-year period, as measured by white matter hyperintensity (WMH) volume in ml on MRI scans at baseline and two-year follow-up, as well as the presence of lacunar infarcts on MRI scans. Unit of measure: WMH volume in ml Measurement tool: MRI scans Other small vessel disease: Presence of lacunar infarcts, perisvascular spacesm, lacunes, microbleeds on MRI scans, counted manually |
24months | |
Secondary | Small vessel disease uni/bilateral | Outcome Measure Title: Unilateral vs. Bilateral Small Vessel Disease in ECAA Patients Description: This outcome measure will assess whether small vessel disease in ECAA patients occurs unilaterally or bilaterally. White matter hyperintensities will be measured by calculating the volume of white matter hyperintensities (WMH) in milliliters (ml) on MRI scans. Unilateral small vessel disease will be defined as WMH volume greater on the same side as the ECAA, while bilateral small vessel disease will be defined as WMH volume roughly equal on both sides. Other small vessel disease will be scored as a number (as a number of lacunair infarcts) and comapered uni- an bilaterally to the affected carotid side. | 24months | |
Secondary | Silent brain lesions | To investigate the presence and localisation of silent brain lesions in ECAA patients | 24months | |
Secondary | Aneurysm morphology. | To assess the association between aneurysm characteristics and small vessel disease burden.Outcome Measure Title: Correlation Between Aneurysm Characteristics and Small Vessel Disease Burden Unit of Measure: Correlation Coefficient (r) Measurement Tool: Statistical Analysis Description: The correlation between aneurysm characteristics (such as size, location, and shape) and small vessel disease burden (such as white matter hyperintensities and lacunar infarcts) will be assessed using a correlation analysis. The correlation coefficient (r) will be calculated to determine the strength and direction of the relationship between the two variables. | 24months | |
Secondary | Flow in ECAA | To investigate the pulsatility in the in the carotid artery based on 3T MRI imaging.
Outcome Measure Title: Pulsatility Index (PI) in the Carotid Artery Measured by 3T MRI Imaging Unit of Measure: Pulsatility Index (%) Measurement Tool: 3T MRI Imaging Description: The pulsatility index (PI) will be calculated by measuring the peak systolic velocity and end-diastolic velocity of blood flow in the carotid artery using 3T MRI imaging. The PI will be calculated using the following formula: PI = (peak systolic velocity - end-diastolic velocity) / mean velocity. |
24months | |
Secondary | Flow in ECAA | To investigate the distensibility in the in the carotid artery based on 3T MRI. Outcome Measure Title: Carotid Artery Distensibility Measured by 3T MRI Imaging Unit of Measure: Distensibility (mmHg^-1 x 10^-3) Measurement Tool: 3T MRI Imaging Description: The distensibility of the carotid artery will be measured using 3T MRI imaging by acquiring cine images of the carotid artery during the cardiac cycle. The distensibility will be calculated using the following formula: distensibility = [(A_max - A_min) / A_min] / [Pulse pressure], where A_max and A_min are the maximum and minimum areas of the carotid artery lumen during the cardiac cycle, respectively, and Pulse pressure is the difference between systolic and diastolic blood pressures. | 24months |
Status | Clinical Trial | Phase | |
---|---|---|---|
Recruiting |
NCT02229370 -
Carotid Aneurysm Registry
|
N/A |