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Relationship between perfusion mode of carotid plaque in CEUS and ischemic stroke in transient ischemic attack patients / 中国医学影像技术
Chinese Journal of Medical Imaging Technology ; (12): 534-538, 2017.
Artigo em Chinês | WPRIM | ID: wpr-608691
ABSTRACT
Objective To evaluate the relationship between the perfusion mode of neovascularization of carotid plaque in CEUS and the ischemic stroke in transient ischemic attack (TIA) patient.Methods A total of 73 TIA patients according to the inclusive criteria were enrolled.All the patients underwent routine carotid ultrasonic examination.And 61 patients with plaque thicker than 2.5 mm in carotid bifurcation underwent CEUS and follow-up for at least 18 months.All the patients were divided into recurrent and non-recurrent groups.Logistic regression analysis were performed to detect the risk factors for incurrence of ischemic stroke or recurrence of TIA in 18 months.Results There were statistical differences between 2 groups in hypertension,diabetes,hyperlipemia,smoking history,family history of stroke,medication compliance,two-dimensional ultrasound and CEUS characteristics (all P<0.05).Multivariate Logistic regression analysis showed that all the factors correlated with the recurrency,from big to small order were the CEUS characteristics of carotid plaque,hypertension,medication compliance,diabetes,two-dimensional ultrasound characteristics of carotid plaque.Conclusion CEUS could evaluate the perfusion mode of neovascularization in carotid plaques.For TIA patients,CEUS could predict the incurrence of ischemic stroke or recurrence of TIA,which can guide TIA patients targeted prophylaxis of them.

Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico / Fatores de risco Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2017 Tipo de documento: Artigo

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Texto completo: DisponíveL Índice: WPRIM (Pacífico Ocidental) Tipo de estudo: Estudo prognóstico / Fatores de risco Idioma: Chinês Revista: Chinese Journal of Medical Imaging Technology Ano de publicação: 2017 Tipo de documento: Artigo