scholarly journals Noninvasive Imaging of 3-Dimensional Myocardial Infarction From the Inverse Solution of Equivalent Current Density in Pathological Hearts

2015 ◽  
Vol 62 (2) ◽  
pp. 468-476 ◽  
Author(s):  
Zhaoye Zhou ◽  
Chengzong Han ◽  
Ting Yang ◽  
Bin He
Keyword(s):  
Myocardial Infarction ◽  
Current Density ◽  
Noninvasive Imaging ◽  
Inverse Solution ◽  
Equivalent Current ◽  
3 Dimensional

P6429Epicardial adipose tissue is a robust measure of increased risk of myocardial infarction, a meta-analysis on over 6.600 patients

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
S Hendricks ◽  
I Dykun ◽  
B Balcer ◽  
T Rassaf ◽  
A A Mahabadi
Keyword(s):  
Myocardial Infarction ◽  
Computed Tomography ◽  
Adipose Tissue ◽  
Patient Management ◽  
Epicardial Adipose Tissue ◽  
Meta Analysis ◽  
Free Text ◽  
Emergency Setting ◽  
3 Dimensional ◽  
Coronary Events

Abstract Background Epicardial adipose tissue surrounds the heart and the coronary arteries. Endocrine and paracrine activity is accredited to EAT. Studies descripted the association between increased EAT and traditional cardiovascular risk factors as well as coronary events. While computed tomography is the gold standard for the assessment of 3-dimensional EAT-volume, echocardiography based EAT thickness is an easy accessible alternative in particular in an emergency setting. So far, little is known, how quantification of EAT in patients presenting with chest pain could alter patient management. Purpose To perform a meta-analysis on existing studies, comparing EAT in patients with and without myocardial infarction, stratifying by imaging technique. Methods We performed a systematic search using the Pubmed, Cochrane, SCOPUS, and Web of Science databases for studies, describing EAT in patients with and without myocardial infarction. Manuscripts, published until 1st of October 2018, were included. We made our search specific and sensitive using Medical Subject Headings terms and free text and considered studies published in English language. Search terms used were “epicardial adipose tissue” or “pericardial adipose tissue” and “myocardial infarction”, “coronary events”, or “acute coronary syndrome”. For comparability, EAT measures were normalized to mean values for patients without myocardial infarction for each study separately. Random effect models were calculated. All analyses were performed using Review Manager 5.3. Results Overall, 6.641 patients (mean aged 58.9 years, 53% male) from 7 studies were included. Patients with myocardial infarction had 37% higher measures of EAT compared to patients without myocardial infarction (95% CI: 21–54%, Figure A). Comparing studies using echocardiography for assessment of EAT thickness with studies using computed tomography based EAT volume, similar relative differences in EAT with wide overlap of confidence intervals were observed (Echo measures: 40 [4–76]%, CT measures: 36 [16–57]%, Figure B and C). No relevant heterogeneity and inconsistency between groups was present in all analyses (detailed data not shown). Figure 1 Conclusion EAT is increased in patients with myocardial infarction. Our data suggests that quantification of EAT thickness using echocardiography distinguishes equally between patients with and without myocardial infarction as compared to 3-dimensional EAT volume from computed tomography. Therefore, it may be an easy accessible alternative in clinical settings. However, further studies are warranted to determine, whether quantification of EAT may lead to improved patient management.

scholarly journals A model for estimating the relation between the Hall to Pedersen conductance ratio and ground magnetic data derived from CHAMP satellite statistics

2007 ◽  
Vol 25 (3) ◽  
pp. 721-736 ◽  
Author(s):  
L. Juusola ◽  
O. Amm ◽  
K. Kauristie ◽  
A. Viljanen
Keyword(s):  
Current Density ◽  
Geomagnetic Latitude ◽  
Magnetic Data ◽  
Equivalent Current ◽  
Champ Satellite ◽  
Long Time ◽  
Conductance Ratio ◽  
Ground Magnetic ◽  
Eiscat Radar ◽  
Magnetic Satellite

Abstract. The goal of this study is to find a way to statistically estimate the Hall to Pedersen conductance ratio α from ground magnetic data. We use vector magnetic data from the CHAMP satellite to derive this relation. α is attained from magnetic satellite data using the 1-D Spherical Elementary Current Systems (SECS). The ionospheric equivalent current density can either be computed from ground or satellite magnetic data. Under the required 1-D assumption, these two approaches are shown to be equal, which leads to the advantage that the statistics are not restricted to areas covered by ground data. Unlike other methods, using magnetic satellite measurements to determine α ensures reliable data over long time sequences. The statistical study, comprising over 6000 passes between 55° and 76.5° northern geomagnetic latitude during 2001 and 2002, is carried out employing data from the CHAMP satellite. The data are binned according to activity and season. In agreement with earlier studies, values between 1 and 3 are typically found for α. Good compatibility is found, when α attained from CHAMP data is compared with EISCAT radar measurements. The results make it possible to estimate α from the east-west equivalent current density Jφ; [A/km]: α=2.07/(36.54/|Jφ|+1) for Jφ<0 (westward) and α=1.73/(14.79/|Jφ+1) for Jφ0 (eastward). Using the same data, statistics of ionospheric and field-aligned current densities as a function of geomagnetic latitude and MLT are included. These are binned with respect to activity, season and IMF BZ and BY. For the first time, all three current density components are simultaneously studied this way on a comparable spatial scale. With increasing activity, the enhancement and the equatorward expansion of the electrojets and the R1 and R2 currents is observed, and in the nightside, possible indications of a Cowling channel appear. During southward IMF BZ, the electrojets and the R1 and R2 currents are stronger and clearer than during northward BZ. IMF BY affects the orientation of the pattern.

scholarly journals Value of 3-dimensional speckle tracking echocardiography in the prediction of cardiovascular events in patients with hypertension complicated by acute myocardial infarction: a long-term follow-up study

2021 ◽  
Author(s):  
Xiaoyan Chen ◽  
Qingmei Yang ◽  
Jianxiu Fang ◽  
Haifeng Guo
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Cardiovascular Events ◽  
Global Longitudinal Strain ◽  
Three Dimensional ◽  
Radial Strain ◽  
Left Ventricular ◽  
Structural Function ◽  
3 Dimensional

Background Patients with hypertension complicated by acute myocardial infarction (AMI) have a poor prognosis. Identification of powerful predictors of recurring cardiovascular events (RCEs) is very important. This study sought to evaluate the predictive value of three-dimensional (3D) strain parameters for RCEs in patients with hypertension complicated by AMI. Methods We successfully followed up 62 patients with hypertension and AMI. Participants underwent three-dimensional echocardiography before, one week after, and one month after percutaneous coronary intervention (PCI). Left ventricular (LV) structural function parameters and three-dimensional strain parameters (3-dimensional global longitudinal strain (3D-GLS), 3-dimensional global circumferential strain (3D-GCS), 3-dimensional global radial strain (3D-GRS), and 3-dimensional global area strain (3D-GAS)) were acquired. We used a Cox model to determine the relationships between these parameters and RCEs. Results During follow-up (41.27±20.45 months), 20 patients (32.8%) had RCEs, which were independently predicted one month after PCI by 3D-GLS (HR: 1.481, 95%CI: 1.202-1.824) and 3D-GAS (HR: 1.254, 95%CI: 1.093-1.440). The optimal 3D-GLS and 3D-GAS cutoffs for predicting cardiac events were >-12.5% [area under the receiver operating characteristic curve (AUC) 0.736, 95%CI 0.611-0.862, P=0.003)] and >20.5% (AUC 0.685, 95%CI 0.551-0.818, P=0.020), respectively. Using logistic regression analysis, we constructed joint predictor=(3D-GLS)+(3D-GAS)×0.303/0.558, and its cutoff point was -22.36% (AUC 0.829, 95%CI 0.722-0.937, P<0.001). Conclusions 3D-GLS and 3D-GAS assessed one month after PCI can predict RCEs in patients with hypertension complicated by AMI. Additionally, the predicted value of (3D-GLS)+ (3D-GAS)×0.303/0.558 was higher than the predicted value of either parameter alone.

scholarly journals Study of the time-resolved, 3-dimensional current density distribution in solid metallic liners at 1 MA

2016 ◽  
Vol 23 (9) ◽  
pp. 092711
Author(s):  
S. C. Bott-Suzuki ◽  
S. W. Cordaro ◽  
L. S. Caballero Bendixsen ◽  
L. Atoyan ◽  
T. Byvank ◽  
...  
Keyword(s):  
Density Distribution ◽  
Current Density ◽  
Current Density Distribution ◽  
Time Resolved ◽  
3 Dimensional
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