Atherosclerosis Clinical Trial
Official title:
Non Invasive Vascular Imaging Combined With Systemic Biomarkers and Brain Magnetic Resonance Imaging for Identification of Asymptomatic Patients With Unstable Carotid Atherosclerosis
Background-White matter hyperintensities (WMH), patchy areas of hyperintense signal on
T2-weighted or Fluid Attenuated Inversion Recovery sequences on brain magnetic resonance
imaging (MRI), are believed to reflect cerebral burden of ischemic damage and are associated
to incident stroke, dementia and eventually mortality in otherwise healthy subjects. Also
brain atrophy has been related with presence of carotid atherosclerosis and vascular
cognitive impairment. Carotid atherosclerosis may contribute to the genesis of WMH. A recent
meta-analysis by our group comprising 5306 subjects was able to demonstrate an association
between the presence of carotid atherosclerosis and WMH (odds ratio, OR, 1.42, 95% confidence
interval [CI] 1.22-1.66).
Objective-To evaluate the relation between carotid artery plaque characteristics,
cardiovascular risk factors and brain atrophy/WMH burden analyzed quantitatively as number
and volume of lesions and as brain volumes, and progression over 18 months of follow up in
subjects asymptomatic for cerebrovascular disease with a carotid artery stenosis <70%.
- Ischemic stroke and vascular cognitive impairment pose a massive clinical, social and
economic burden. Disruption of carotid plaques, often non-obstructive, with subsequent
thrombosis and distal embolization is one of leading pathogenetic mechanism of ischemic
stroke. The widespread use of brain magnetic resonance imaging (MRI) has enabled an
increased recognition, especially in elderly subjects, of cerebral alterations in
apparently healthy individuals.
- Carotid plaque may be causative in the development of white matter hyperintensities
(WMH, patchy areas of signal hyperintensity on T2-weighted and/or fluid attenuated
inversion recovery -FLAIR- sequences), silent brain infarcts (SBI) and eventually brain
atrophy.
- The hypothesis of the investigators is that carotid plaques with features of
vulnerability detected by multimodality imaging (including standard ultrasound, contrast
enhanced ultrasound -CEUS-, contrast enhanced CT angiography) and larger extent of
atherosclerotic process, even if determining only an intermediate degree of stenosis,
could bear a more rapid progression of silent WMH and brain atrophy.
- Carotid CT and CEUS allow fast and reproducible evaluation of plaque size and
morphology, alongside with functional parameters. Plaque density and positive
remodelling on CT have been repeatedly associated to histological features of plaque
vulnerability. At the same time, when compared to standard duplex evaluation, CEUS
allowed a better imaging definition of plaque margins and extension, and to evaluate
intraplaque neovascularization. The latter associates with local inflammation and plaque
vulnerability, and might give rise to plaque hematomas, which are among the substrates
for lesion progression and for the development of atherothrombosis.
- In the initial phase of the study also hybrid imaging with positron tomography and
computed tomography angiography (PET/CTA) using 11C-PK11195 was used to detect and
quantify intraplaque inflammation in humans.(7) C-PK11195 is a selective ligand for
translocator protein, 18kDa (TSPO), which is highly expressed on the surface of
activated monocytes/macrophages. This part of the study was prematurely stopped due to
problems with the production of the radiotracer with 11[C] (only 13 patients were
studied with this approach).
Primary endpoints:
- The primary endpoint is to identify independent predictors (plaque-related or
patient-related) with the progression of WMH through multivariable logistic regression
analysis.
Progression of WMH was considered as dichotomous variable: progression versus no progression
of WMH.
- The co-primary end-point is to identify independent predictors (plaque-related or
patient-related) with the progression of gray matter (GM)/all brain atrophy through
multivariable logistic regression analysis. Progression of brain atrophy was considered as
dichotomous variable: progression versus no progression of GM/all brain atrophy.
Statistical considerations:
The investigators calculated the sample size for multivariate logistic regression analysis
with a power of 0.8 and an alpha of 0.05. The investigators will analyze the highest tertile
of carotid plaques burden in terms of plaque volume versus others (see Sillesen, 2012). By
definition, the prevalence of high burden atherosclerosis will be 33%. The investigators
estimated a clinically relevant probability of progressing in terms of WMH in the high burden
group to be 50%, while subjects without high burden plaques are estimated to progress in
terms of WMH as the general population with carotid atherosclerosis in a similar time frame.
This probability would be estimated to be around 15% (see Dufoil, 2005 and Pico, 2002). The
estimated sample size would be 58 individuals.
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