Related Experiment Video
Updated: Jan 25, 2026
A Human Ex Vivo Atherosclerotic Plaque Model to Study Lesion Biology
Published on: May 6, 2014
Value of superb micro-vascular imaging in predicting ischemic stroke in patients with carotid atherosclerotic plaques
De-Bin Yang1, Jie Zhou1, Lan Feng1
1Department of Ultrasonic Imaging, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai 201800, China.
Background:
Unstable carotid atherosclerotic plaques are prone to cause ischemic stroke. Contrast-enhanced ultrasound (CEUS) is the primary method of assessing plaque stability, but CEUS cannot be a method for screening for unstable plaque. The emergence of superb micro-vascular imaging (SMI) offers the possibility of clinically screening for unstable plaque.
Aim:
To investigate the value of SMI in predicting ischemic stroke in patients with carotid atherosclerotic plaques.
Methods:
Patients with carotid atherosclerotic plaques (luminal stenosis of 50%-70%) were enrolled into the present study. All patients received conservative medication. The patient's clinical baseline data, serological data, CEUS and SMI data were analyzed. All patients underwent a 3-year follow-up. The follow-up endpoint was the occurrence of ischemic stroke and patients were divided into stroke group and non-stroke group according to whether the prognosis occurred or not. Subsequently, the difference in clinical data was compared, the correlation of SMI and CEUS was analyzed, and multiple Cox regression and receiver operating characteristic curve were applied to investigate the value of SMI and CEUS in predicting cerebral arterial thrombosis in three years.
Results:
In this study, 43 patients were enrolled in the stroke group and 82 patients were enrolled in the non-stroke group. Cox regression revealed that SMI level (P = 0.013) and enhancement intensity (P = 0.032) were the independent factors influencing ischemic stroke. There was a positive correlation between SMI level and enhancement intensity (r = 0.737, P = 0.000). The area under curve of SMI level predicting ischemic stroke was 0.878. The best diagnostic point was ≥ level II, and its sensitivity and specificity was 86.05% and 79.27%. The area under curve of enhancement intensity predicting ischemic stroke was 0.890. The best diagnostic point was 9.92 db, and its sensitivity and specificity was 88.37% and 89.02%. As the SMI level gradually increased, the incidence of ischemic stroke increased gradually (X 2 = 108.931, P = 0.000).
Conclusion:
SMI can be used as a non-invasive method of screening for unstable plaques and may help prevent ischemic stroke.
More Related Videos
09:36A Magnetic Resonance Imaging-based Computational Protocol for Analysis of Plaque Morphology and Hemodynamics in Patients with Carotid Artery Stenosis
Published on: August 12, 2025
09:43In vivo Near Infrared Fluorescence NIRF Intravascular Molecular Imaging of Inflammatory Plaque, a Multimodal Approach to Imaging of Atherosclerosis
Published on: August 4, 2011
Related Concept Videos
01:19Imaging Studies VII: Vascular Imaging
02:27Predicting Molecular Geometry
03:24Seedless Vascular Plants
01:03Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
01:07End Point Prediction: Gran Plot
For potentiometric titration, the Gran plot is created by plotting...
01:13Sensitivity, Specificity, and Predicted Value
Sensitivity is the...