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Quantitative evaluation of carotid plaque vulnerability by using GSM based on three dimensional ultrasound / 中华医学超声杂志(电子版)
Chinese Journal of Medical Ultrasound (Electronic Edition) ; (12): 23-28, 2017.
Article in Chinese | WPRIM | ID: wpr-711978
ABSTRACT
Objective To quantitatively evaluate the vulnerability of carotid plaques in patients with acute ischemic cerebral infarction by using Gray-scale median (GSM) based on Three-dimensional ultrasound (3D-US).Methods Totally 207 patients were examined with carotid plaques in the PLA Army General Hospital from December 2015 to August 2016,including 102 patients with acute cerebralischemic stroke (cerebral infarction group) and 105 patients without cerebral infarction (control group).The Vascular plaque quantification (VPQ) software was applied to acquire GSM value of carotid plaques automatically.Results The GSM value of carotid plaques in cerebral infarction group was significantly lower than that in control group (44.78± 11.58 vs 54.36± 11.99,t=7.70,P < 0.01),and the low density lipoprotein in the cerebral infarction group was significantly higher than that in the control group [(3.51 ± 1.20) mmol/L vs (3.10± 1.07) mmol/L,t=1.58,P < 0.05].There was no significant difference between the two groups in age,gender,body mass index,smoking,drinking,history of diabetes,history of hypertension,systolic blood pressure,diastolic blood pressure,triglyceride,total cholesterol,high density lipoprotein,plaque thickness,plaque area stenosis rate and plaque volume (all P > 0.05).Conclusion The GSM value of carotid plaques based on 3D-US-VPQ technology can effectively reflect the vulnerability of carotid plaques,and may be valuable in the risk assessment of carotid plaques.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Risk factors Language: Chinese Journal: Chinese Journal of Medical Ultrasound (Electronic Edition) Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Risk factors Language: Chinese Journal: Chinese Journal of Medical Ultrasound (Electronic Edition) Year: 2017 Type: Article