scholarly journals Diagnostic value of non-invasive imaging techniques in the detection of carotid artery stenosis: a systematic review

Radiographer ◽  
2009 ◽  
Vol 56 (3) ◽  
pp. 14-18 ◽  
Author(s):  
A Al Shuhaimy ◽  
K Ababtain ◽  
Z Sun
Keyword(s):  
Systematic Review ◽  
Carotid Artery ◽  
Carotid Artery Stenosis ◽  
Imaging Techniques ◽  
Diagnostic Value ◽  
Artery Stenosis ◽  
Non Invasive

Type III Arch Configuration as a Risk Factor for Carotid Artery Stenting: A Systematic Review of Contemporary Guidelines on Management of Carotid Artery Stenosis

2020 ◽  
Vol 68 ◽  
pp. 505-509
Author(s):  
Massimiliano M. Marrocco-Trischitta ◽  
Irene Baroni ◽  
Renato Vitale ◽  
Giovanni Nava ◽  
Giovanni Nano ◽  
...  
Keyword(s):  
Systematic Review ◽  
Risk Factor ◽  
Carotid Artery ◽  
Carotid Artery Stenosis ◽  
Carotid Artery Stenting ◽  
Artery Stenosis ◽  
Type Iii

scholarly journals Urinary Proteomics Identifying Novel Biomarkers for the Diagnosis and Phenotyping of Carotid Artery Stenosis

2021 ◽  
Vol 8 ◽  
Author(s):  
Wei Wang ◽  
Jianqiang Wu ◽  
Peng Liu ◽  
Xiaoyue Tang ◽  
Haiyu Pang ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Risk Stratification ◽  
Carotid Artery Stenosis ◽  
Function Analysis ◽  
High Sensitivity ◽  
Diagnostic Value ◽  
Artery Stenosis ◽  
Healthy Controls ◽  
Early Screening ◽  
Diagnostic Values

Background: Carotid artery stenosis (CAS) is caused by the formation of atherosclerotic plaques inside the arterial wall and accounts for 20–30% of all strokes. The development of an early, noninvasive diagnostic method and the identification of high-risk patients for ischemic stroke is essential to the management of CAS in clinical practice.Methods: We used the data-independent acquisition (DIA) technique to conduct a urinary proteomic study in patients with CAS and healthy controls. We identified the potential diagnosis and risk stratification biomarkers of CAS. And Ingenuity pathway analysis was used for functional annotation of differentially expressed proteins (DEPs). Furthermore, receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic values of DEPs.Results: A total of 194 DEPs were identified between CAS patients and healthy controls by DIA quantification. The bioinformatics analysis showed that these DEPs were correlated with the pathogenesis of CAS. We further identified 32 DEPs in symptomatic CAS compared to asymptomatic CAS, and biological function analysis revealed that these proteins are mainly related to immune/inflammatory pathways. Finally, a biomarker panel of six proteins (ACP2, PLD3, HLA-C, GGH, CALML3, and IL2RB) exhibited potential diagnostic value in CAS and good discriminative power for differentiating symptomatic and asymptomatic CAS with high sensitivity and specificity.Conclusions: Our study identified novel potential urinary biomarkers for noninvasive early screening and risk stratification of CAS.

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