Literature DB >> 31563567

Carotid Webs in Cryptogenic Ischemic Strokes: A Matched Case-Control Study.

Song J Kim1, Jason W Allen2, Mehdi Bouslama1, Fadi Nahab1, Michael R Frankel1, Raul G Nogueira1, Diogo C Haussen3.   

Abstract

BACKGROUND: Young individuals with symptomatic carotid webs may be predisposed to ischemic strokes. However, evidence remains scarce. This investigation reports the frequency of carotid webs among patients with cryptogenic strokes compared to a control group.
METHODS: Consecutive cryptogenic ischemic strokes and trauma patients were identified. Additional inclusion criteria required age 18-60 years and availability of head/neck computed tomography (CT) angiography. CT angiogram (CTA) neck images were evaluated independently by 2 fellowshiptrained specialists. A carotid web was defined by a shelf-like, linear filling defect in the posterior internal carotid artery bulb.
RESULTS: Of 1877 patients presenting with ischemic strokes in 2015-2017, 165 were diagnosed with cryptogenic strokes, 51 of whom met the inclusion criteria of age and CTA availability. Fifty one trauma cases were matched for age and sex. After imaging analysis, 13 carotid webs (25%) were identified in the 51 cryptogenic stroke group versus 0 (0%; P < .001) in trauma subjects. Thirty-nine of the 51 cryptogenic ischemic stroke patients were found with carotid anterior distribution infarcts, of which 9 (23%) were found with ipsilateral carotid webs. There were more proximal large vessel occlusions in the cryptogenic patients with carotid webs, compared to those without (P = .04). All carotid webs led to less than 30% degree of stenosis.
CONCLUSIONS: Carotid webs were found at a significantly higher frequency in patients with cryptogenic ischemic strokes compared to controls, indicating a potentially thrombogenic nature of these lesions in young patients. Additionally, intracranial large vessel occlusions were more common in patients with symptomatic carotid webs, presenting with ipsilateral strokes.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Stroke in young; carotid web; cryptogenic strokes; fibromuscular dysplasia

Year:  2019        PMID: 31563567     DOI: 10.1016/j.jstrokecerebrovasdis.2019.104402

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  6 in total

1.  Cardiovascular magnetic resonance imaging and its role in the investigation of stroke: an update.

Authors:  Ana Catarina Fonseca; José M Ferro; Ana G Almeida
Journal:  J Neurol       Date:  2021-01-13       Impact factor: 4.849

2.  Carotid web: the challenging diagnosis of an under-recognized entity.

Authors:  Emilio Rodríguez-Castro; Susana Arias-Rivas; María Santamaría-Cadavid; Iria López-Dequidt; Manuel Rodríguez-Yáñez; Antonio Jesús Mosqueira; Miguel Blanco Ulla; Fernando Vázquez Herrero; José Antonio Castiñeira; Elena Martínez-Sáez; Edurne Pérez Béliz; Nilo Mosquera; Diego Caicedo; Máximo Fraga; José Manuel Pumar
Journal:  J Neurol       Date:  2022-06-17       Impact factor: 6.682

3.  Stroke Recurrence in First-Ever Symptomatic Carotid Web: A Cohort Study.

Authors:  Stephane Olindo; Nicolas Chausson; Aissatou Signate; Sylvie Mecharles; Jean-Luc Hennequin; Martine Saint-Vil; Mireille Edimonana-Kaptue; Severine Jeannin; Anne Landais; Philippe Cabre; Igor Sibon; Didier Smadja; Julien Joux
Journal:  J Stroke       Date:  2021-05-31       Impact factor: 6.967

4.  Associating cryptogenic ischemic stroke in the young with cardiovascular risk factor phenotypes.

Authors:  Joseph M Dardick; David Flomenbaum; Daniel L Labovitz; Natalie Cheng; Ava L Liberman; Charles Esenwa
Journal:  Sci Rep       Date:  2021-01-11       Impact factor: 4.379

5.  Ultrasound characteristics of carotid web.

Authors:  Louis Fontaine; Brigitte Guidolin; Alain Viguier; Cedric Gollion; Marianne Barbieux; Vincent Larrue
Journal:  J Neuroimaging       Date:  2022-07-10       Impact factor: 2.324

6.  Carotid webs produce greater hemodynamic disturbances than atherosclerotic disease: a DSA time-density curve study.

Authors:  Charlie C Park; Retta El Sayed; Benjamin B Risk; Diogo C Haussen; Raul G Nogueira; John N Oshinski; Jason W Allen
Journal:  J Neurointerv Surg       Date:  2021-07-27       Impact factor: 8.572

  6 in total

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