Fibromuscular Dysplasia/Carotid Web in Angio-CT Imaging: A Rare Cause of Ischemic Stroke.
Michalina RzepkaTomasz ChmielaJoanna BosowskaMaciej CebulaEwa KrzystanekPublished in: Medicina (Kaunas, Lithuania) (2021)
Background and Objectives: Carotid web (CaW) is an intimal variant of fibromuscular dysplasia and may constitute as one of rare causes of acute ischemic stroke (AIS). The objective of this study was to determine the prevalence of CaW in patients with AIS or transient ischemic attack (TIA) based on head/neck CT angiography (CTA) in a Polish cohort study. Materials and Methods: A retrospective study was performed by analyzing 1480 electronic clinical and imaging data regarding patients with AIS or TIA, hospitalized in the years 2018-2020 in the authors' institution. The final sample consisted of 181 patients who underwent head/neck CTA; aged 67.81 ± 13.51 years (52% were women). All head/neck CTA studies were independently evaluated by two radiologists. The patient's clinical condition was assessed with the National Institutes of Health Stroke Scale (NIHSS, 5.76 ± 4.05 and 2.88 ± 3.38 at admission and at discharge, respectively). Results: 27 patients were identified with CaW. The prevalence of CaW in the final sample (181 pts with good quality CTA) was 14.9%. In the CaW group, 89% patients had AIS, including 26% diagnosed with recurrent and 11% with cryptogenic strokes. There were no significant differences between the presence of CaW and gender, age, NIHSS score, recurrent or cryptogenic stroke. Conclusions: Our study demonstrated that CaW may be an underrecognized entity leading to cerebrovascular events. The diagnosis of CaW depends on a high level of awareness and a comprehensive analysis of the neuroimaging studies. Our findings support the hypothesis that it is worthwhile to perform CTA to determine the etiology of ischemic stroke, particularly if predicting factors were not identified.
Keyphrases
- end stage renal disease
- newly diagnosed
- atrial fibrillation
- ejection fraction
- chronic kidney disease
- acute ischemic stroke
- emergency department
- public health
- peritoneal dialysis
- computed tomography
- high resolution
- metabolic syndrome
- pregnant women
- machine learning
- oxidative stress
- risk factors
- patient reported outcomes
- type diabetes
- quality improvement
- artificial intelligence
- ischemia reperfusion injury
- case report
- brain injury
- photodynamic therapy
- deep learning
- blood brain barrier
- electronic health record
- fluorescence imaging
- image quality