Automatic atherosclerotic heart disease detection in intracoronary optical coherence tomography images

2014 ◽  
Author(s):  
Mengdi Xu ◽  
Jun Cheng ◽  
Damon Wing Kee Wong ◽  
Akira Taruya ◽  
Atsushi Tanaka ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Heart Disease ◽  
Disease Detection ◽  
Optical Coherence

scholarly journals New Insights into the Association between Fibrinogen and Coronary Atherosclerotic Plaque Vulnerability: An Intravascular Optical Coherence Tomography Study

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Jun Wang ◽  
Lu Jia ◽  
Xing Li ◽  
Siyu Jin ◽  
Xiaomei Li ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Optical Coherence Tomography ◽  
Heart Disease ◽  
Plaque Rupture ◽  
Experimental Studies ◽  
High Body Mass Index ◽  
Coronary Plaque ◽  
Optical Coherence ◽  
Plaque Vulnerability ◽  
Coronary Syndrome

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.

scholarly journals Improved Retinal Microcirculation After Cardiac Surgery in Patients With Congenital Heart Disease

2021 ◽  
Vol 8 ◽  
Author(s):  
Cong Li ◽  
Zhuoting Zhu ◽  
Haiyun Yuan ◽  
Pingting Zhong ◽  
Qingsheng Peng ◽  
...  
Keyword(s):  
Congenital Heart Disease ◽  
Optical Coherence Tomography ◽  
Cardiac Surgery ◽  
Heart Disease ◽  
Congenital Heart ◽  
Optical Coherence Tomography Angiography ◽  
Optical Coherence ◽  
Congenital Cardiac Surgery ◽  
Capillary Plexus ◽  
Retinal Microcirculation

Background: Microcirculatory changes in congenital heart disease (CHD) patients undergoing cardiac surgery are not fully understood. We aimed to investigate the changes of retinal microcirculation in CHD patients after cardiac surgery by optical coherence tomography angiography (OCTA) and explore the association between retinal microcirculation and surgical outcome.Methods: This prospective observational study consisted of 71 CHD patients aged ≥6 years undergoing cardiac surgery including 19 cyanotic CHD (CCHD) and 52 acyanotic CHD (ACHD). Optical coherence tomography angiography (OCTA) was used to measure vessel density (VD) and capillary density (CD) of radial peripapillary capillary (RPC) and peripapillary, VD of superficial capillary plexus (SCP) and deep capillary plexus (DCP), thickness of retinal nerve fiber layer (RNFL) and ganglion cell complex (GCC) preoperatively and 1 month postoperatively. Transthoracic echocardiography was conducted to measure macrocirculation.Results: In CCHD patients, VD and CD of RPC and peripapillary increased postoperatively (all P < 0.05). In ACHD patients, VD of peripapillary, CD of RPC and peripapillary, and RNFL thickness increased postoperatively (all P < 0.05). VD of SCP and DCP, and GCC thickness did not change significantly in CHD patients after surgery. Lower preoperative retinal microvascular density was associated with longer cardiopulmonary bypass (CPB) time and postoperative length of stay (PLOS). No correlation was found between microcirculatory and macrohemodynamic parameters (all P > 0.05).Conclusions: Improved retinal microcirculation was observed after congenital cardiac surgery and impaired preoperative retinal microvasculature was associated with prolonged CPB time and PLOS, which might provide potential information about the outcome of congenital cardiac surgery.

Diagnosis of Coronary Heart Disease by Optical Coherence Tomography Using Random Walk Algorithm

2021 ◽  
Vol 11 (1) ◽  
pp. 127-132
Author(s):  
Jiehan Zhang ◽  
Shengyang Jiang ◽  
Huajie Xu ◽  
Shihua Tong ◽  
Chen Lu ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Optical Coherence Tomography ◽  
Heart Disease ◽  
Random Walk ◽  
Automatic Segmentation ◽  
Optical Coherence ◽  
Seed Point ◽  
Random Walk Algorithm ◽  
Segmentation Accuracy ◽  
Walk Algorithm

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.

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