Repeatability Limits for Measurement of Coronary Artery Calcified Plaque with Cardiac CT in the Multi-Ethnic Study of Atherosclerosis

2008 ◽  
Vol 190 (2) ◽  
pp. W87-W92 ◽  
Author(s):  
Hyoju Chung ◽  
Robyn L. McClelland ◽  
Ronit Katz ◽  
J. Jeffrey Carr ◽  
Matthew J. Budoff
2009 ◽  
Vol 192 (3) ◽  
pp. 613-617 ◽  
Author(s):  
Matthew Jay Budoff ◽  
Robyn L. McClelland ◽  
Hyoju Chung ◽  
Nathan D. Wong ◽  
J. Jeffrey Carr' ◽  
...  

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Bhavya Varma ◽  
Oluseye Ogunmoroti ◽  
Chiadi Ndumele ◽  
Di Zhao ◽  
Moyses Szklo ◽  
...  

Background: Adipokines are secreted by adipose tissue, play a role in cardiometabolic pathways, and have differing associations with cardiovascular disease (CVD). Coronary artery calcium (CAC) and its progression indicate subclinical atherosclerosis and prognosticate CVD risk. However the association of adipokines with CAC progression is not well established. We examined the association of adipokines with the odds of a history of CAC progression in the Multi-Ethnic Study of Atherosclerosis (MESA). Methods: We performed an analysis of 1,904 community dwelling adults free of clinical CVD in MESA. Participants underwent measurement of serum adipokines [leptin, resistin and adiponectin] at visits 2 or 3 (randomly assigned) and a contemporaneous cardiac CT scan at same visit. Participants also had a prior cardiac CT at visit 1, at a median of 2.4 years earlier. On both CTs, CAC was quantified by Agatston score. We defined a history of CAC progression between the CT scans at visit 1 and at visit 2 or 3 as those with >0 Agatston units of change per year (and compared to those with ≤0 units of change per year). We used logistic regression to examine the odds of having a history of CAC progression by adipokine tertiles using progressively adjusted models. Results: The mean participant age was 65 (10) years; 50% were women, 40% White, 13% Chinese, 21% Black and 26% Hispanic. The prevalences of CAC at visits 1 and 2/3 were 49% and 58%, respectively. There were 1,001 (53%) who had CAC progression between the 2 CT scans. In demographic-adjusted models (model 1, Table), higher leptin and lower adiponectin were associated with increased odds of prior CAC progression. In models fully adjusted for BMI and other CVD risk factors (model 3), only the highest tertile of leptin remained associated with a greater odds of prior CAC progression [OR 1.55 (95% CI 1.04, 2.30)]. Conclusions: Higher leptin levels were independently associated with a history of CAC progression. Atherosclerosis progression may be one mechanism through which leptin confers increased CVD risk


Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2122
Author(s):  
Mengxue Zhao ◽  
Xiangjiu Che ◽  
Hualuo Liu ◽  
Quanle Liu

Calcified plaque in coronary arteries is one major cause and prediction of future coronary artery disease risk. Therefore, the detection of calcified plaque in coronary arteries is exceptionally significant in clinical for slowing coronary artery disease progression. At present, the Convolutional Neural Network (CNN) is exceedingly popular in natural images’ object detection field. Therefore, CNN in the object detection field of medical images also has a wide range of applications. However, many current calcified plaque detection methods in medical images are based on improving the CNN model algorithm, not on the characteristics of medical images. In response, we propose an automatic calcified plaque detection method in non-contrast-enhanced cardiac CT by adding medical prior knowledge. The training data merging with medical prior knowledge through data augmentation makes the object detection algorithm achieve a better detection result. In terms of algorithm, we employ a deep learning tool knows as Faster R-CNN in our method for locating calcified plaque in coronary arteries. To reduce the generation of redundant anchor boxes, Region Proposal Networks is replaced with guided anchoring. Experimental results show that the proposed method achieved a decent detection performance.


2018 ◽  
Vol 17 (1) ◽  
Author(s):  
Laura M. Raffield ◽  
Amanda J. Cox ◽  
Michael H. Criqui ◽  
Fang-Chi Hsu ◽  
James G. Terry ◽  
...  

Heart ◽  
2021 ◽  
pp. heartjnl-2020-318929
Author(s):  
Alexander Chua ◽  
Daniel Adams ◽  
Damini Dey ◽  
Ron Blankstein ◽  
Timothy Fairbairn ◽  
...  

Epidemiological studies have observed East Asians (EAs) are significantly less likely to develop or die from coronary artery disease (CAD) compared with Caucasians. Conversely South Asians (SAs) develop CAD at higher rate and earlier age. Recently, a range of features derived from cardiac CT have been identified which may further characterise ethnic differences in CAD. Emerging data suggest EAs exhibit less coronary calcification and high-risk, non-calcified plaque compared with Caucasians on CT, with no difference in luminal stenosis. In contrast, SAs exhibit similar to higher coronary calcification and luminal stenosis, smaller luminal dimensions and more high-risk, non-calcified plaque than Caucasians. Beyond demonstrating ethnic differences in CAD, cardiac CT may enhance and individualise cardiovascular risk stratification in EAs and SAs. While data thus far in EAs have demonstrated calcium score and CT-derived luminal stenosis may incrementally predict cardiovascular risk beyond traditional risk scores, there remains a paucity of data assessing its use in SAs. Future studies may clarify the prognostic value of cardiac CT in SAs and investigate how this modality may guide preventative therapy and coronary intervention of CAD in EAs and SAs.


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