The Carotid Artery Multi-modality Imaging Prognostic (CAMP) Study

Carotid Artery Diseases Clinical Trial

Official title: Detecting the Vulnerable Carotid Plaque: "The Carotid Artery Multi-modality Imaging Prognostic (CAMP) Study" - Implications for Stroke and Cognitive Decline Prediction in Asymptomatic Carotid Artery Disease

Status Recruiting

Clinical Trial Summary

Carotid artery disease is a main cause of ischemic stroke and vascular dementia, and a highly prevalent disease. There is uncertainty about the optimal management of patients with serendipitously or systematically detected asymptomatic carotid artery disease, due to the paucity of information on the predictive features of serious vascular events. While percent diameter stenosis is currently the accepted standard to decide about local interventions (carotid artery stenting or endarterectomy), international guidelines also recommend the evaluation of qualitative features of carotid artery disease as a guide to treatment. There is, however, no agreement on which qualitative features are best predictors of events. Furthermore, a role for metabolic plaque profile, local mechanical and hemorheologic factors in triggering microembolization and silent ischemic events has been proposed from experimental studies. This inadequate knowledge leads to a poor ability to identify patients at higher risk and to an unwarranted dispersion of medical resources, lack of standardization in diagnostic methods, and the use of expensive and resource-consuming techniques.

Against this background, the investigators aim at:

1. Prospectively identifying the best predictors of (silent and overt) ischemic stroke and vascular dementia in patients with asymptomatic subcritical carotid artery disease, by identifying the non-invasive diagnostic features of the "vulnerable carotid plaque" as a possible guide for optimal - local and systemic - treatment.

2. Transferring new ultrasound techniques possibly improving risk prediction to the clinical field

3. Assess whether "smart", low-cost diagnostic methods, such as ultrasound-based evaluations integrating established and advanced techniques, may yield at least the same level of prospective information as more expensive and less cost-effective techniques.

Clinical Trial Description

BACKGROUND AND RATIONALE

Stroke is a most relevant health burden, the second most common cause of death and the third cause of disability worldwide. Stroke is a heterogeneous disorder with several disease mechanisms implicated in its pathogenesis. Ischemic stroke accounts for 87% of all stroke cases.

Silent stroke, usually defined as focal T2 hyperintensities >3 mm with correlative T1 hypointensities at magnetic resonance imaging (MRI), has a reported incidence of 10-15% and a relevant significance in terms of cognitive impairment and correlations with clinically overt stroke. Silent stroke is a cerebrovascular ischemic (less frequently haemorrhagic) lesion detected by neuroimaging such as magnetic resonance imaging (MRI) that does not determine acute focal neurological deficits but causes cerebral damage in an unaware way. Typically, silent stroke (SS) affects regions associated with various mental processes, mood regulation and cognitive functions, and therefore is a leading cause of vascular cognitive impairment that impacts about one-third of individuals over the age of 70. Cerebral small vessel disease related to aging (and possibly to age-related arterial stiffness) leading to leucoaraiosis and lacunar infarctions is a main cause of SS, but also microembolic lesions due to atrial fibrillation and carotid stenosis may be involved.

The diagnosis of SS stroke may be challenging. In many cases, subjects are not diagnosed until long after a stroke occurs or in case of progressive cognitive impairment. Occasionally, strategic lesions in cerebral areas related to cognitive function, the hippocampus or the thalamus, and, more frequently, incremental lesion load over time lead to vascular dementia (VD). VD is is the second most common form of dementia after Alzheimer's disease. The prevalence of the illness is about 5% in Western countries. Current epidemiologic research suggests that AF contributes to cognitive decline and dementia independent of a history of stroke. Further work is warranted to elucidate the potential mechanisms underlying this association, and better designed studies are needed to explore the possible cognitive benefits of different therapeutic options in patients with carotid disease. Potential pathophysiological pathways linking carotid disease with cognitive decline are microembolism, systemic inflammation, and cerebral hypoperfusion.

STUDY DESIGN This is a monocenter, prospective, longitudinal, observational study. This is a no-profit study, granted by Regione Toscana - Bando Salute 2018.

Setting Eligible participants (see inclusion and exclusion criteria below) will be selected and recruited in the outpatient setting of the UO Cardiologia 1 - AOUP. Exclusion and inclusion criteria will be evaluated according the previous medical history and imaging tests of the participant. All participants identified as eligible will receive all the necessary information about the study and will sign the informed consent under the supervision of the Principal Investigator. In case of enrollment, a detailed plan will be prepared for each participant to schedule the study evaluations to be integrated with the routine examinations.

STUDY OUTCOMES

Different variables will be assessed and analyzed, in particular:

1. Baseline neurological, psychological and neurocognitive evaluation 2. Baseline brain MRI evaluation 3. Angio-MRI for carotid stenosis assessment and plaque tissue characterization 4. Angio-CT evaluation for carotid stenosis assessment and plaque characterization 5. Multigate Doppler (MGD) Investigation of Carotid Artery Stenosis

1. Carotid stenosis assessment

2. Wall shear rate and flow separation analysis 6. Advanced ultrasound techniques for plaque vulnerability and local mechanical properties assessment

1. Ultrasonographic markers of plaque composition

2. Validation of 3D US for carotid plaque stenosis severity and morphology assessment

3. Radiofrequency data for assessment of fibrous cap thickness, plaque deformation, and local arterial waveform and stiffness 7. Follow-up (2-years) brain MRI evaluation 8. Follow-up (2 years) neurological, psychological and neurocognitive evaluation

1. Baseline neurological, psychological and neurocognitive evaluation

Each participant will be evaluated at baseline and at the 2-year follow-up. A detailed assessment of cognitive decline/dementia will be performed as detailed:

• Montreal Cognitive Assessment (MoCA).

• Adopting a more focus on specific cognitive functions, and following results of two recent studies (The Tromso study - Mathiesen et al., 2004; Cheng et al., 2012) in asymptomatic carotid stenosis, the investigators will also assess:

• Working memory: Backward Digit Span

• Attention and psychomotor speed: Trail Making Test

• Motor functioning: Grooved Pegboard Test

• Memory: Verbal and Visual Paired Association

• Complex visuospatial perception: Modified Complex Figure Test

• The Dizziness Handicap Inventory

• The Informant Questionnaire on Cognitive Decline in the Elderly

• The total assessment time will be around 30 minutes.

2. Baseline brain MRI evaluation Silent brain infarction will be defined as focal T2 hyperintensity >3 mm with correlative T1 hypointensities at MRI. This evaluation will be matched with the follow-up examination, to assess the occurrence of silent strokes.

3. Angio-MRI for carotid stenosis assessment and plaque tissue characterization. Angio-MRI of carotid arteries will be performed at baseline and after a two-year follow-up for carotid plaque characterization.

4. Angio-CT evaluation for carotid stenosis assessment and plaque characterization.

Estimation of lumen stenosis and vessel anatomy with contrast agents. Multi-detector-row CT will characterize plaque calcification, ulcerations, fibrous plaque thickness, intra- plaque haemorrhage and the presence of lipid-rich necrotic cores, based on voxel Hounsfield units density.

5. Multigate Doppler (MGD) Investigation of Carotid Artery Stenosis The University of Pisa has a long-standing collaboration with the Department of Informational Engineering of Florence University, based upon an ultrasound advanced open platform (UlAOP) providing a detailed representation and quantification of flow velocity profile and wall shear rate by means of multiple spectral Doppler sample volumes (128) aligned perpendicularly through the longitudinal arterial axis.

a) Carotid stenosis assessment A customized configuration developed in Florence will be used to provide a simplified flow velocity profile in common and internal carotid artery. The correlation of central flow velocity, peak flow velocity and flow velocity distribution with severity and shape of carotid stenosis as assessed by angio-TC will be investigated.

b) Wall shear rate and flow separation analysis By post-processing of MGD datasets, wall shear rate, oscillatory flow velocity patterns and retrograde flows will be estimated using a computational fluid dynamics (CFD) approach.

6. Advanced ultrasound techniques for plaque vulnerability and local mechanical properties assessment After the baseline investigation, in a subset of participants, the US investigation of carotid arteries and plaques will be repeated by US system providing radiofrequency raw data for post-processing analysis. 2D images will be exploited for tissue characterization analysis; RF- datasets will be used to determine fibrous cap thickness, local plaque deformation, arterial contour-wave analysis with central pulsatile pressure.

1. Ultrasonographic markers of plaque composition Carotid plaque characterization will be performed on 2D images by means of a customized software recently validated against immunohistochemistry within the context of a FP7 collaborative study on diabetes.

2. Validation of 3D US for carotid plaque stenosis severity and morphology assessment Plaque volume and shape assessment will be assessed with a dedicated 3D probe in 50 participants. After acquisition of a 3D dataset (Fully Automated Mechanical Transducer), including total plaque volume and maximum area reduction.

3. Radiofrequency data for assessment of fibrous cap thickness, plaque deformation, and local arterial waveform and stiffness The RF-dataset provided by the Esaote systems will allow estimate of common carotid distensibility and plaque fibrous cap thickness and deformation.

7. Follow-up brain MRI evaluation This examination will be performed at the 2-year follow-up and matched with the baseline examination, to assess new incident events. Silent stroke will be similarly defined as focal T2 hyperintensity >3 mm with correlative T1 hypointensities at MRI.

8. Follow-up neurological, psychological and neurocognitive evaluation This will be done with a complete physical examination and the use of dedicated scales to perform an evaluation of signs of silent stroke or cerebral involution, as per item 1.

DATA MANAGEMENT Data collection All variables listed above will be safely reported on the case report form, collected and stored, including some self-reported questionnaires, i.e. the Dizziness Handicap Inventory and the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE).

Data management All data will be managed in compliance with the General Data Protection Regulation (GDPR). A dedicated platform (Data Platform) in full compliance with the GDPR rules and the Italian Legislative Decree no. 196 dated 30/06/2003 will be developed. Digital and paper-based case report forms will be generated to collect participants' data. Data will be then uploaded on the Data Platform for safe storing by using cloud technologies and secured access credentials and protocols (TLS / HTTPS). All necessary measures to ensure full protection of data will be applied.

Pseudonymisation will be guaranteed by a secured alphanumeric code, whose key will be password-protected and available only to the study investigators.

Data storage The principal investigator will be responsible for data collection, management, storage and pseudonymisation.

Statistical analysis Correlation and regression analysis will be performed in uni- and multivariate manner, after correction for collinearity. Bland-Altman Analysis will assess the predictive power and concordance of each methods for specific plaque features. Logistic regression analysis, Cox regression analysis and survival analysis will be performed according to different predictors, after determination of cut-off values for single continuous variables. Incremental analysis (Chi-square; Net reclassification) will be performed in order to assess the integrated value of combined (multi-imaging; soluble biomarkers; clinical) methods. Inter- and intra-observer analysis will be performed. A mathematical models combining the features derived from all the techniques used to construct the best model predictive of stroke and the development of neurocognitive decline.

ADMINSITRATIVE ASPECTS Study financial support The study will be financially supported by Regione Toscana, Bando Salute 2018. There will be no interference from Regione Toscana on the scientific management of the study. Three financial tranches will be bestowed as for formal agreements (at the beginning of the study, at 18 months, at 36 months or termination of the study).

Ethical considerations The study will be conducted according to the norms of Good Clinical Practice (ICH/GCP) and to the ethical guidelines of the Declaration of Helsinki. Enrollment will start only after the protocol is approved by the local Ethical Committee. Written informed consent will be obtained from each participant before enrollment.

Informed consent acquisition Each participant will be carefully and thoroughly informed by the investigators involved in the study at the time of enrollment. Written informed consent will be requested only after a comprehensive discussion with the participant.

There are no financial conflict of interest for any of the investigators involved in the study. ;

Related Conditions & MeSH terms

• Atherosclerosis
• Carotid Artery Diseases
• Carotid Artery Plaque
• Carotid Atherosclerosis
• Carotid Stenosis

• NCT number: NCT04679727
• Study type: Observational
• Source: Azienda Ospedaliero, Universitaria Pisana
• Contact: Raffaele De Caterina, MD
• Phone: +39050996975
• Email: raffaele.decaterina@unipi.it
• Status: Recruiting
• Start date: October 7, 2020
• Completion date: July 19, 2024