scholarly journals Association between inflammatory biomarkers and thin-cap fibroatheroma detected by optical coherence tomography in patients with coronary heart disease

2015 ◽  
Vol 3 ◽  
pp. 505-512 ◽  
Author(s):  
Kohei Koyama ◽  
Kihei Yoneyama ◽  
Takanobu Mitarai ◽  
Yuki Ishibashi ◽  
Eiji Takahashi ◽  
...  
2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Jun Wang ◽  
Lu Jia ◽  
Xing Li ◽  
Siyu Jin ◽  
Xiaomei Li ◽  
...  

Background. Fibrinogen levels have been associated with coronary plaque vulnerability in experimental studies. However, it has yet to be determined if serum fibrinogen levels are independently associated with coronary plaque vulnerability as detected by optical coherence tomography (OCT) in patients with coronary heart disease. Methods. Patients with coronary heart disease (CHD) who underwent coronary angiography and OCT in our department from January 2015 to August 2018 were included in this study. Coronary lesions were categorized as ruptured plaque, nonruptured with thin-cap fibroatheroma (TCFA), and nonruptured and non-TCFA. Presence of ruptured plaque and nonruptured with TCFA was considered to be vulnerable lesions. Determinants of coronary vulnerability were evaluated by multivariable logistic regression analyses. Results. A total of 154 patients were included in this study; 17 patients had ruptured plaques, 15 had nonruptured plaques with TCFA, and 122 had nonruptured plaques with non-TCFA. Results of univariate analyses showed that being male, diabetes, current smoking, high body mass index (BMI), and clinical diagnosis of acute coronary syndrome (ACS) were associated with coronary vulnerability. No significant differences were detected in patient characteristics, coronary angiographic findings, and OCT results between patients with higher and normal fibrinogen. Results of multivariate logistic analyses showed that diabetes and ACS were associated with TCFA, while diabetes, higher BMI, and ACS were associated with plaque rupture. Conclusions. Diabetes, higher BMI, and ACS are independently associated with coronary vulnerability as detected by OCT. Serum fibrinogen was not associated with coronary vulnerability in our cohort.


2021 ◽  
Vol 11 (1) ◽  
pp. 127-132
Author(s):  
Jiehan Zhang ◽  
Shengyang Jiang ◽  
Huajie Xu ◽  
Shihua Tong ◽  
Chen Lu ◽  
...  

Objective: The objective is to study the diagnosis of coronary heart disease by optical coherence tomography based on random walk algorithm, so as to assist doctors in diagnosing coronary heart disease. Method: K-means algorithm combined with mathematical morphology provides seed points for random walk algorithm, and realizes semi-automatic segmentation of different kinds of patches. Secondly, by adding the space distance term based on the distance between the edge and the seed point in the weight function, the random walk algorithm is improved, which can make the weak edge patch area not be segmented too much. Results: the results were obtained by comparing the traditional random walk method and the literature method. The segmentation accuracy of this method is higher, and it is more convenient to use. Moreover, the average segmentation time of single image is not more than 5 s, which can basically meet the real-time needs of clinical diagnosis. Conclusion: Experiments show that the method proposed in this study is easy to use, with high segmentation accuracy, and to some extent, it can provide the clinician with plaque area information, improve the speed of reading films, and assist doctors in diagnosing coronary heart disease. In this study, the random walk algorithm is improved to get a better segmentation algorithm than other methods.


2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Yaowapa Maneerat ◽  
Kriengchai Prasongsukarn ◽  
Surachet Benjathummarak ◽  
Wilanee Dechkhajorn

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