Why the study?
Determining carotid stenosis severity, monitoring carotid plaque, and identifying vulnerable plaques are important to select patients for carotid endarterectomy, motivating an evaluation of 3D hemodynamic study in evolving stroke.
Does three-dimensional ultrasound effectively evaluate carotid stenosis severity and postoperative changes in patients with evolving stroke?
Does three-dimensional ultrasound effectively evaluate carotid stenosis severity and postoperative changes in patients with evolving stroke?
3D ultrasound is an effective tool for quantifying carotid plaque severity and monitoring postoperative hemodynamic improvements following carotid endarterectomy.
Answers are grounded in this paper and cite their sources.
3D hemodynamics may aid carotid plaque assessment in evolving stroke; leaves open clinical utility pending larger validation.
Objectives Determining carotid stenosis severity, monitoring of carotid plaque, and identification of vulnerable plaques are important in identifying patients who would benefit from carotid endarterectomy (CEA). Our work aimed to evaluate the role of three-dimensional (3D) hemodynamic study in patient with evolving stroke. Patients and methods The study enrolled 20 patients diagnosed with forebrain stroke selected from our university hospital from March 2017 to February 2019. The severity of stenosis and the length and type of plaques were quantified by 3D ultrasound (US). Overall, 17 patients underwent CEA. The follow-up after operation was done by 3D US with measuring the free lumen area and the operated artery. Results There are significant increases in postoperative peak systolic velocity and free lumen area in all patients with stenosis or occlusion, with P value 0.001 and 0.0001, respectively, in most critical cases of the soft plaques. Moreover, there is a higher significant P value (0.003) regarding peak systolic velocity related to carotid end-arterectomy (CEA) with patching than nonpatching. Conclusion 3D US imaging is a recent tool for improving the visualization and quantification of complex anatomy and pathology as well as monitoring progression of atherosclerosis.
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Sakr et al. (2020) studied this question.
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