The burden of intracranial atherosclerosis on cerebral small vessel disease: A community cohort study
Joseph Amihere Ackah1, Heng Du2, Wenjie Yang3
1Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong, SAR, China.
Insights
Intracranial atherosclerosis (ICAS) and cerebral small vessel diseases (CSVD) show a dose-effect relationship, not just shared risk factors. High-resolution vessel wall MRI (HRVW-MRI) reveals how ICAS impacts CSVD burdens, aiding clinical decisions.
Area of Science:
- Neuroimaging
- Vascular Neurology
- Cardiovascular Research
Background:
- Cerebral small vessel diseases (CSVD) and intracranial atherosclerosis (ICAS) are common in aging populations.
- Their association is often attributed to shared risk factors, but underlying mechanisms require further investigation.
- High-resolution vessel wall MRI (HRVW-MRI) offers detailed insights into atherosclerotic plaque characteristics.
Purpose of the Study:
- To explore the prevalence and association between ICAS and CSVD using HRVW-MRI.
- To investigate how subtle changes in intracranial atherosclerotic features influence CSVD burdens.
- To determine if a dose-effect relationship exists between ICAS and CSVD.
Main Methods:
- Recruitment of stroke-free Chinese adults from a community-based MRI cohort.
- Assessment of ICAS features (plaque load, stenosis, remodelling, eccentricity) using HRVW-MRI.
- Evaluation of CSVD markers (white matter hyperintensities, lacunes, microbleeds, enlarged perivascular spaces) via multi-sequence MRI.
- Statistical analyses including correlation and regression models to assess ICAS-CSVD association.
Main Results:
- Out of 225 participants, 17.3% had ICAS and 47.1% had at least one significant CSVD marker.
- Subtle changes in ICAS features (positive remodelling, plaque load, eccentricity, stenosis) correlated with distinct CSVD markers and overall burden.
- A dose-effect relationship between ICAS severity and CSVD burden was suggested.
Conclusions:
- The association between ICAS and CSVD is more than co-existence; a dose-effect relationship is likely.
- HRVW-MRI can identify diagnostic metrics and features showing ICAS's impact on CSVD.
- Findings enhance understanding and clinical decision-making for patients with ICAS and CSVD.
Objective:
Exploring the prevalence and association between intracranial atherosclerosis (ICAS) and cerebral small vessel diseases (CSVD), this study delved beyond the current scope, utilising high-resolution vessel wall MRI (HRVW-MRI) to investigate how subtle changes in intracranial atherosclerotic features influence the various burdens of CSVD.
Methods:
Stroke-free Chinese adult participants were recruited from our ongoing community-based MRI cohort. HRVW-MRI technique with a T1-weighted 3D SPACE sequence was used to assess atherosclerotic plaque features: plaque load, degree of stenosis, remodelling index, eccentricity. A multi-sequence MRI assessment elucidated CSVD markers, including white matter hyperintensities, lacune infarcts, microbleeds and enlarged perivascular spaces. Statistical analyses, including sensitivity and specificity tests, chi-square, correlation and regression models were fitted to explore the association between ICAS and CSVD.
Results:
Of the 225 participants (mean age 64.90 ± 6.87 years) included in the study, 101 (45%) were males. Thirty-nine participants (17.3%) presented with ICAS (8 progressive plaques and 31 were pre-atherosclerotic). One hundred and six (47.1%) participants recorded at least one clinically significant marker of CSVD. The subtle changes (increment or decrement) in atherosclerotic features such as positive remodelling, plaque load, eccentricity, degree of stenosis and the morphology (ICAS severity) may parallelly influence the distinct markers and overall CSVD burden.
Interpretation:
This study demonstrates that the association between ICAS and CVSD extends beyond mere co-existence due to shared risk factors, suggesting the presence of a dose-effect relationship between ICAS and CVSD. HRVW-MRI could elucidate diagnostic metrics and characteristic features that reveal how ICAS impacts distinct CSVD burdens, thereby enhancing clinical decisions.
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