Nonrigid motion compensation in B-mode and contrast enhanced ultrasound image sequences of the carotid artery

2014 ◽  
Author(s):  
Diego D. B. Carvalho ◽  
Zeynettin Akkus ◽  
Johan G. Bosch ◽  
Stijn C. H. van den Oord ◽  
Wiro J. Niessen ◽  
...  
Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Jun Nakamura ◽  
Takamitsu Nakamura ◽  
Juntaro Deyama ◽  
Daisuke Fujioka ◽  
Ken-ichi Kawabata ◽  
...  

Introduction: Extensive neovascularization in atherosclerotic plaque has been shown to be associated with plaque progression and instability, leading to atherosclerotic cardiovascular events. Contrast-enhanced ultrasound (CEUS) of the carotid artery is a potential technique for imaging plaque neovascularization. Hypothesis: Assessment of intra-plaque neovascularization of the carotid artery using quantitative analysis of CEUS provides prognostic information in patients with coronary artery disease (CAD). Methods: This study included 206 patients with stable CAD and with carotid intima-media thickness (IMT) > 1.1 mm. They underwent a CEUS examination of the carotid artery and were followed-up prospectively for < 38 months or until a cardiac event (cardiac death, non-fatal myocardial infarction [MI], unstable angina pectoris [uAP] requiring unplanned coronary revascularization, or heart failure requiring hospitalization). The degree of contrast signals measured within the carotid plaque after the intravenous injection of contrast material was quantified by calculating the increase in mean gray scale level within the region of interest of the carotid plaque, expressed as plaque enhanced intensity. Results: During the follow-up period (3 - 38 months, mean 22.8 ± 11.8 months), 31 events occurred (2 cardiac deaths, 7 non-fatal MIs, 16 uAP, and 6 heart failure). Multivariate Cox proportional hazards analysis showed that plaque enhanced intensity was a significant predictor of cardiac events independent of traditional risk factors (HR, 1.52; 95% CI, 1.20 - 1.94; p = 0.001). The addition of plaque enhanced intensity had a significant incremental effect on the area under the ROC curve (AUC) generated using baseline model of traditional risk factors (AUC: baseline model 0.69 vs. baseline model + plaque enhanced intensity 0.78, p = 0.03). The addition of the plaque enhanced intensity to the baseline risk factors resulted in net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (NRI 0.58, p = 0.003; and IDI 0.078, p = 0.03). Conclusions: The assessment of carotid plaque neovascularization using quantitative analysis of CEUS may be useful for risk stratification in patients with CAD.


2018 ◽  
Vol 42 (3) ◽  
pp. 109-115 ◽  
Author(s):  
Paige L. Rowland ◽  
Michelle Colpitts ◽  
Angela Malone ◽  
Munis Raza ◽  
Lenora L. Eberhart ◽  
...  

Ultrasound stratification for the degree of carotid artery disease based solely on lumen reduction has poorly predicted patient outcomes. This pilot study focused on patients with moderate carotid artery stenosis. Our purpose was to use contrast imaging with ultrasound to improve carotid field. A total of 10 patients diagnosed with moderate carotid artery stenosis were rescanned with an administration of a contrast imaging agent. Two-dimensional (2D) imaging, color, and Doppler were utilized to scan the patients. The 20 carotid arteries were blindly read by 2 experienced physicians. Visualization of far field, quality of Doppler envelope, plaque morphology, and overall image quality were semi-quantifiably assessed. With the use of a contrast imaging agent, there was a reduction in interphysician interpretation variability. The Kappa coefficient yielded an increase in agreement for postcontrast imaging in the majority of variables. The Doppler envelope showed improvement from precontrast (0.06) to postcontrast (0.63). The visualization of the far fields demonstrated a significant increase in agreement (0.77, 0.71, and 0.67) postcontrast. Plaque morphology demonstrated enhancement in characterization with contrast (–0.09 to 0.66). In this study, contrast-enhanced ultrasound (CEUS) was found to increase overall image quality. Improved interpretation can enhance risk stratification and with further exploration could be used to guide treatment plans for patients with asymptomatic moderate carotid artery disease.


Author(s):  
Qin Wang ◽  
Yunqian Huang ◽  
Yuke Zhang ◽  
Yuqun Wang ◽  
Yanchun Xie ◽  
...  

BACKGROUND: Conventional ultrasound and contrast-enhanced ultrasound play an important role in the application of carotid plaque. AIMS: To establish carotid artery vulnerable plaques plaque model by conventional ultrasound combined with contrast-enhanced ultrasound, identify high-risk plaques that may lead to cerebrovascular events, and provide clinical risk warning of high-risk plaques of stroke. METHODS: 205 cases of patients selected in 5053 patients with symptoms from 2018 to 2019 who were verified carotid plaques by conventional ultrasound and contrast-enhanced ultrasound image characteristics, 147 cases as a training set, establishing the carotid artery plaque model, analyzing the characteristic of the plaques and the relationship between cerebrovascular event, with 58 cases as a test set, verify the model. Routine carotid ultrasound and contrast-enhanced carotid ultrasound were performed in all enrolled patients. RESULTS: The gray-level characteristics of conventional ultrasound in the training concentration showed statistical differences in plaque morphology, fibrous cap morphology, uniformity and calcification degree in cerebrovascular events. The contrast enhanced ultrasound characteristics of plaques showed statistical differences in neovascularization and perfusion mode in cerebrovascular events. In the test set, there were statistical differences in the above conventional gray scale features and CEUS features. CONCLUSION: The vulnerable plaque model established by conventional ultrasound combined with contrast-enhanced ultrasound has good diagnostic value for the characteristic plaque of carotid artery with cerebrovascular events.


2013 ◽  
Vol 15 (5) ◽  
pp. 541-546 ◽  
Author(s):  
Arend F.L. Schinkel ◽  
Stijn C.H. van den Oord ◽  
Antonius F.W. van der Steen ◽  
Jan A.M. van Laar ◽  
Eric J.G. Sijbrands

2003 ◽  
Vol 41 (6) ◽  
pp. 318 ◽  
Author(s):  
James E. Macioch ◽  
Samir N. Patel ◽  
Charlotte J. Bai ◽  
Paras S. Bhatt ◽  
Pete Meyer ◽  
...  

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