Research progress of imaging technologies for ischemic cerebrovascular diseases

Higher serum cystatin C and matrix metalloproteinase 9 levels effectively predict in-stent restenosis after stent implantation for intracranial and extracranial arterial stenosis

OBJECTIVE

This paper was performed to unravel the predictive value of serum cystatin C (Cys C) and matrix metalloproteinase 9 (MMP-9) levels before vascular stent implantation for in-stent restenosis (ISR) 6-12 months after stent implantation for intracranial and extracranial arterial stenosis.

METHODS

One hundred and ninety-eight patients who underwent dilatation stenting for intracranial and extracranial arterial stenosis and completed Digital Subtraction Angiography or head and neck CT- Angiography review were selected for the study and were divided into ISR group (n = 33) and no ISR (NISR) group (n = 165) according to the presence or absence of ISR. Serum levels of Cys C, MMP-9, triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), uric acid (UA), creatinine (Cr), homocysteine (Hcy), fibrinogen (FIB), total bilirubin (TBIL), endothelin-1 (ET-1), nitric oxide (NO), angiotensin II (Ang II), interleukin-6 (IL-6), tumor necrosis factor (TNF-α), and C-reactive protein (CRP) levels before vascular stent implantation were examined and compared between groups. ROC curves were employed for analyzing the predictive value of serum Cys C and MMP-9 alone or in combination for ISR. Pearson test was utilized for analyzing the serum Cys C and MMP-9 with vasoactive substances and inflammatory cytokines in patients in the ISR group. Logistic regression analysis was implemented to analyze the factors influencing ISR 6-12 months after stent implantation for intracranial and extracranial arterial stenosis.

RESULTS

Cys C, MMP-9, LDL, UA, Cr, Hcy, FIB, ET-1, NO, Ang II, IL-6, TNF-α, and CRP were higher in the ISR group than in the NISR group, and TBIL was lower than in the NISR group (P < 0.05). The AUC of the combined serum Cys C and MMP-9 (AUC = 0.900) was greater than that of Cys C (AUC = 0.685) or MMP-9 (AUC = 0.870) alone (P < 0.05). Cys C and MMP-9 levels were positively correlated with ET-1, NO, Ang II, IL-6, TNF-α, and CRP (r > 0, P < 0.05). Increased levels of Cys C, MMP-9, LDL-C, UA, Cr, Hcy, FIB, ET-1, NO, Ang II, IL-6, TNF-α, and CRP, and diabetes were risk factors for the development of ISR (OR > 1, P < 0.05), and TBil was protective factor (OR < 1, P < 0.05).

CONCLUSION

Serum Cys C combined with MMP-9 levels are effective in predicting ISR.

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview

Cerebrovascular diseases, including ischemic strokes, hemorrhagic strokes, and vascular malformations, are major causes of morbidity and mortality worldwide. The advancements in neuroimaging techniques have revolutionized the field of cerebrovascular disease diagnosis and assessment. This comprehensive review aims to provide a detailed analysis of the novel imaging methods used in the diagnosis and assessment of cerebrovascular diseases. We discuss the applications of various imaging modalities, such as computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), and angiography, highlighting their strengths and limitations. Furthermore, we delve into the emerging imaging techniques, including perfusion imaging, diffusion tensor imaging (DTI), and molecular imaging, exploring their potential contributions to the field. Understanding these novel imaging methods is necessary for accurate diagnosis, effective treatment planning, and monitoring the progression of cerebrovascular diseases.