The value of contrast-enhanced ultrasonography in predicting stroke occurrence: A prospective study
Year: 2024
Type: article
Study design: Observational Study
Abstract: Objectives: This study aimed to investigate the association between contrast-enhanced ultrasound-detected (CEUS) perfusion patterns of carotid plaque and the occurrence of stroke. Materials and methods: This prospective observational study finally enrolled 256 patients (151 of them having undergone CEUS) from 7851 patients who underwent carotid artery ultrasound from May 2019 to December 2019 with the endpoint being the occurrence of stroke. The risk factors and carotid ultrasound fetures was obtained from those patients. Analyze the relationship between these variables and stoke occurrence. Results: < 0.05). Upon adjusting for variables, in all subjects, Cox regression analysis showed that symptoms experienced within the past 6 months (RR = 2.486, 95 % CI: 1.282-4.821), moderate-to-severe carotid stenosis (RR = 2.407, 95 % CI: 1.480-4.593), calcification of fibrous cap (RR = 1.599, 95 % CI: 0.727-3.516) and patchy hypoechoic areas within plaque (RR = 2.486, 95 % CI: 1.107-5.578)independently predicted stroke occurrence across all subjects.; Among subjects underwent CEUS, Cox regression analysis demonstrated that moderate-to-severe carotid artery stenosis (RR = 2.105, 95 % CI: 1.425-4.510) and microbubbles entering the interior of the plaque from its surface (RR = 2.323, 95 % CI: 1.175-4. 594) were independent predictors of stroke occurrence. Conclusions: The neovascularization perfusion pattern from the plaque surface to its interior serves as an independent predictor of stroke occurrence, thereby potentially enhancing clinical decision-making.
Source: Heliyon
Authors: Yunqian Huang, Chuanjian Chen, Junni Shi, Yuqun Wang, Yanchun Xie, Lixia Zhang, Wenqian Zhu, Jiatong Xu, Man Chen, Pinjing Hui
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,100
Award: G2777445965
OpenAlex ID: W4402943453
