Advantages and prospects of optical coherence tomography in interventional therapy of coronary heart disease (Review)

Wang, Jie; Yuan, Shi‐Min; Qi, Juntong; Zhang, Qinggao; Ji, Zheng

doi:10.3892/etm.2022.11180

Cited by 8 publications

(5 citation statements)

References 83 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While OCT has a higher resolution than IVUS [ 17 ] and can accurately identify plaque components and microstructure, it is an invasive procedure with inevitable limitations such as high cost, and potential complication risks [ 5 ]. Therefore, effective biomarkers that can predict TP need to be explored.…”

Section: Discussionmentioning

confidence: 99%

Association between apolipoprotein B/A1 ratio and quantities of tissue prolapse on optical coherence tomography examination in patients with atherosclerotic cardiovascular disease

Du,

Zhu,

Liu

et al. 2024

Int J Cardiovasc Imaging

View full text Add to dashboard Cite

Atherosclerotic cardiovascular disease (ASCVD) continues to be a major health concern globally. Apolipoprotein (Apo) B/A1 ratio is a reliable predictor of ASCVD and an important factor in assessing the risk of myocardial infarction. Tissue prolapse (TP) is defined as the tissue extrusion into the lumen through the stent struts after implantation, which is a significant factor for poor short-term outcomes such as acute and subacute thrombosis, severe myocardial necrosis, and vulnerable plaque. Therefore, the aim of this study was to investigate the relationship between Apo B/A1, plaque vulnerability, and tissue prolapse on optical coherence tomography (OCT). This study enrolled 199 patients with atherosclerotic cardiovascular disease (ASCVD) who underwent percutaneous coronary intervention (PCI). Both pre- and post-procedural optical coherence tomography (OCT) examinations were conducted to assess TP volume and plaque morphology. Logistic regression analyses were performed to identify potential risk factors for tissue prolapse volume. Receiver operator characteristic (ROC) curve analysis was carried out to evaluate the value of the Apo B/A1 ratio for tissue prolapse volume. The high Apo B/A1 ratio group showed a larger TP volume (P = 0.001) and a higher percentage of plaque rupture and erosion in comparison to the low Apo B/A1 ratio group (P = 0.022 and P = 0.008). The high Apo B/A1 ratio group and the high TP volume group also had a higher proportion of thin-cap fibroatheroma (TCFA) (P = 0.046, P = 0.021). Multivariate logistic regression analysis revealed that both Apo B/A1 ratio (odds ratio [OR]: 1.041, 95% confidence interval [CI] 1.007–1.076; P = 0.019) and TCFA (OR: 3.199, 95%CI 1.133–9.031; 0.028) were significantly related to high TP volume. Furthermore, the area under the curve (AUC) for predictive value of TP volume was 0.635 for Apo B/A1 (95% CI 0.554–0.717, P = 0.002) compared to 0.615 for low density lipoprotein cholesterol (LDL-C) (95% CI 0.533–0.697, P = 0.008). The Apo B/A1 ratio is an independent predictor of TP volume on OCT and is related to plaque vulnerability.

show abstract

Section: Discussionmentioning

confidence: 99%

Association between apolipoprotein B/A1 ratio and quantities of tissue prolapse on optical coherence tomography examination in patients with atherosclerotic cardiovascular disease

Du,

Zhu,

Liu

et al. 2024

Int J Cardiovasc Imaging

View full text Add to dashboard Cite

show abstract

“…OCT provides the highest resolution (1–15 μm) among current intravascular imaging technologies, enabling detailed exploration of microscopic vascular structures ( 18 ). In cardiovascular clinical applications, the significance of OCT encompasses: (1) Comprehensive plaque assessment: OCT provides detailed information about plaque size, type, and composition, aiding in understanding the total burden of atherosclerosis, not merely localized stenosis ( 19 ); (2) Vulnerable plaque identification: OCT can provide detailed views of potentially hazardous plaques by analyzing tissue characteristics, such as the size of the lipid core and the thickness of the fibrous cap ( 20 ); (3) Enhanced risk stratification: The detailed plaque and vascular information provided by OCT can help more accurately assess the risk of cardiovascular events, thus improving the accuracy of risk stratification ( 21 ); (4) Complementing traditional imaging techniques: By offering direct observation of vessel walls and plaques, OCT supplements the limitations of traditional imaging methods, providing a more comprehensive cardiovascular health assessment ( 22 ). Thus, OCT is not only a potent diagnostic tool but also adds a new dimension to the risk assessment and management of cardiovascular diseases.…”

Section: Introductionmentioning

confidence: 99%

Application of optical coherence tomography in cardiovascular diseases: bibliometric and meta-analysis

Lian,

Chen,

Wang

et al. 2024

Front. Cardiovasc. Med.

Self Cite

View full text Add to dashboard Cite

SignificanceSince the advent of Optical Coherence Tomography (OCT) two decades ago, there has been substantial advancement in our understanding of intravascular biology. Identifying culprit lesion pathology through OCT could precipitate a paradigm shift in the treatment of patients with Acute Coronary Syndrome. Given the technical prowess of OCT in the realm of cardiology, bibliometric analysis can reveal trends and research focal points in the application of OCT for cardiovascular diseases. Concurrently, meta-analyses provide a more comprehensive evidentiary base, supporting the clinical efficacy of OCT-guided Percutaneous Coronary Intervention (PCI).DesignThis study employs a dual approach of Bibliometric and Meta-analysis.MethodsRelevant literature from 2003 to 2023 was extracted from the Web of Science Core Collection (WoSCC) and analyzed using VOSviewer, CiteSpace, and R for publication patterns, countries, institutions, authors, and research hotspots. The study compares OCT-guided and coronary angiography-guided PCI in treating adult coronary artery disease through randomized controlled trials (RCTs) and observational studies. The study has been reported in the line with PRISMA and AMSTAR Guidelines.ResultsAdhering to inclusion and exclusion criteria, 310 publications were incorporated, demonstrating a continual rise in annual output. Chinese researchers contributed the most studies, while American research wielded greater influence. Analysis of trends indicated that research on OCT and angiography-guided PCI has become a focal topic in recent cohort studies and RCTs. In 11 RCTs (n = 5,277), OCT-guided PCI was not significantly associated with a reduction in the risk of Major Adverse Cardiac Events (MACE) (Odds ratio 0.84, 95% CI 0.65–1.10), cardiac death (0.61, 0.36–1.02), all-cause death (0.7, 0.49–1.02), myocardial infarction (MI) (0.88, 0.69–1.13), target lesion revascularization (TLR) (0.94, 0.7–1.27), target vessel revascularization (TVR) (1.04, 0.76–1.43), or stent thrombosis (0.72, 0.38–1.38). However, in 7 observational studies (n = 4,514), OCT-guided PCI was associated with a reduced risk of MACE (0.66, 0.48–0.91) and TLR (0.39, 0.22–0.68).ConclusionOur comprehensive review of OCT in cardiovascular disease literature from 2004 to 2023, encompassing country and institutional origins, authors, and publishing journals, suggests that OCT-guided PCI does not demonstrate significant clinical benefits in RCTs. Nevertheless, pooled results from observational studies indicate a reduction in MACE and TLR.

show abstract

“…If our heart muscles contract as a consequence of an accumulation of atheroma, the blood supply to the muscle fibers will be limited. This might cause angina chest symptoms, and a blocked coronary artery could cause a heart attack [2]- [4]. According to the "World Health Organization (WHO) ", 18.9 million people worldwide die from heart-related disorders each year, accounting for 42% of all fatalities.…”

Section: Introductionmentioning

confidence: 99%

Application of Deep Learning Technique for the Detection of Coronary Heart Disease (CHD)

Varma¹,

Jayaprakash²,

Lal³

2023

View full text Add to dashboard Cite

A blockage or cessation of blood flow to our heart muscle is a sign of Coronary Heart Disease (CHD), which is caused by an accumulation of fatty substances in the coronary arteries known as atheroma. The principal blood channels that deliver blood to the heart are known as coronary arteries. In this paper, the possible application of deep learning technique is explored for the detection of Coronary Heart Disease. In this study, the methodology includes infrastructure creation for the detection of CHD using supervised and unsupervised learning. The result shows the proceeding to manage the data set and process the data there, user input is appropriately gathered. The embedded system that conducts data translation is linked to the controller sensor, which regulates the CHD pulse system. The study concludes that the diagnostic accuracy of the deep learning model using Decision Tree (DT) and Naive Bayes (NB) Classification is effective and error-free. DT and NB Classification is an effective way of detecting CHD by the deep learning model. The future potential of this paper is the development of models for heart disease diagnoses in patients around the world.

show abstract

Advantages and prospects of optical coherence tomography in interventional therapy of coronary heart disease (Review)

Cited by 8 publications

References 83 publications

Association between apolipoprotein B/A1 ratio and quantities of tissue prolapse on optical coherence tomography examination in patients with atherosclerotic cardiovascular disease

Association between apolipoprotein B/A1 ratio and quantities of tissue prolapse on optical coherence tomography examination in patients with atherosclerotic cardiovascular disease

Application of optical coherence tomography in cardiovascular diseases: bibliometric and meta-analysis

Application of Deep Learning Technique for the Detection of Coronary Heart Disease (CHD)

Contact Info

Product

Resources

About