Relationship between intracranial arterial remodeling and imaging markers in patients with cerebral small vessel disease / 中华神经科杂志

ABSTRACT

Objective:To investigate the relationship between intracranial arterial remodeling and imaging markers in patients with cerebral small vessel disease (CSVD).Methods:One hundred and fifty-six patients with CSVD who were admitted to the Department of Neurology of the Second Affiliated Hospital of Zhengzhou University or the Public People′s Hospital of Xinzheng from January 2020 to May 2022 were selected, and their brain artery remodeling (BAR) score was calculated. The patients with BAR score≤-1 standard deviation (SD) were defined as individuals with constrictive remodeling of intracranial arteries, and the patients with BAR score≥1 SD were defined as individuals with dilated remodeling of intracranial arteries. Imaging markers of CSVD [white matter hyperintensities (WMHs), lacune, cerebral microbleeds, enlarged perivascular spaces, and cerebral atrophy] were quantified, total CSVD load was calculated and patients were divided into low load group (0-2 points, n=91) and high load group (3-4 points, n=65) according to the total CSVD load scores. The correlation between intracranial artery remodeling and various imaging markers of CSVD and total load was analyzed by using univariate analysis and binary Logistic regression analysis. A nomogram prediction model was established and a receiver operating characteristic curve (ROC) was drawn to assess the predictive value of intracranial artery remodeling on high total CSVD load. Results:Dilated intracranial arterial remodeling was an independent influence factor on severe WMHs ( OR=3.66, 95% CI 1.38-9.72, P=0.009), lacune ( OR=3.78, 95% CI 1.17-12.19, P=0.026), cerebral atrophy ( OR=3.11, 95% CI=1.10-8.81, P=0.033), and high total CSVD load ( OR=6.66, 95% CI=2.14-20.77, P=0.001). Age was an independent influencing factor for high total CSVD load ( OR=1.12, 95% CI 1.07-1.16, P<0.01). A nomogram prediction model for high total CSVD load with age and BAR score≥1 SD as dependent variables had a good effect (C-index=0.826) and calibration ( P=0.024). The best cut-off point of ROC curve was 0.50, with an area under the curve of 0.83 (95% CI 0.76-0.89, P<0.01), the sensitivity and specificity of 0.72 and 0.82. Conclusions:Patients with dilated intracranial arterial remodeling may have a heavier CSVD load. Dilated intracranial arterial remodeling may serve as a new biomarker for assessing CSVD, but the mechanism of the association needs further study.