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Cervical artery stenosis has long been considered a major cause of stroke caused by the cervical artery.
recent evidence suggests that specific plaque features detected in imaging may be more associated with ischemic stroke than cervical arterial stenosis.
recently, researchers in JAHA, an authoritative journal in the field of cardiovascular disease, tried to identify the imaging characteristics of computer fault angiograms (CTA) of cervical arterial plaques that are better able to be identified by side stroke sources.
the retrospective cross-sectional study, the researchers analyzed 494 patients who received cTA encephalographic imaging of the same side of the neck, excluding patients with other stroke sources.
researchers recorded cervical artery CTA and clinical markers in the subjects, fitting multiple Poisson regression models.
used subjects' working characteristics analysis, under-curve area, and self-lifting validation to determine differentiation performance.
the final CTA cervical artery-caused stroke prediction model includes intra-tube thrombosis (prevalence of 2.8 (prevalence of 2.8 ( P .lt;0.001); 95% CI is 1.6-4.9), maximum soft spot thickness (prevalence of 1.2. The prevalence rate is 2.0 (P.0.007; 95% CI is 1.2-3.3).
the final differentiation value (area 78.3% between curves) is higher than in-cavity thrombosis (56.4%, P.lt;0.001), maximum soft spot thickness (76.4%, P-0.007), or only rim signs (69.9%, P-0.001).
addition, the narrow classification (critical values of 50% and 70%, respectively) in NASCET (North American symptomatic cervical artery endometriosis test) has a lower recognition rate for stroke (under-curve area: 67.4%, P.lt;0.001).
this, the best identification information for stroke caused by the same side of the carotid artery includes in-cavity thrombosis, maximum soft spot thickness and rim signs.
these results do not support the use of cervical arterial stenosis alone to determine the source of CTA stroke, suggesting that these alternative markers may better diagnose fragile plaques and guide treatment decisions.
