Results 101 to 110 of about 859,972 (336)
Network-Based Approach for Modeling and Analyzing Coronary Angiography [PDF]
, 2019 Significant intra-observer and inter-observer variability in the interpretation of coronary angiograms are reported. This variability is in part due to the common practices that rely on performing visual inspections by specialists (e.g., the thickness of coronaries). Quantitative Coronary Angiography (QCA) approaches are emerging to minimize observer's
arxiv +1 more source
Imaging in-stent restenosis: an inexpensive, reliable, and rapid preclinical model. [PDF]
, 2009 Preclinical models of restenosis are essential to unravel the pathophysiological processes that lead to in-stent restenosis and to optimize existing and future drug-eluting stents. A variety of antibodies and transgenic and knockout strains are available
Deuse, Tobias +3 more
core +2 more sources
Catheterization and Cardiovascular Interventions, EarlyView.ABSTRACT Background Directional coronary atherectomy (DCA) is effective for bifurcation lesions but carries a risk of coronary perforation, due to geographical and recognition errors during the procedure. Geographical errors involve incorrect targeting of plaque‐free areas, whereas recognition errors stem from the misinterpretation of visual ...
Toru Takii +6 more
wiley +1 more source
Identification of Hemodynamically Optimal Coronary Stent Designs Based on Vessel Caliber [PDF]
, 2012 Coronary stent design influences local patterns of wall shear stress (WSS) that are associated with neointimal growth, restenosis, and the endothelialization of stent struts.
Gundert, Timothy J +4 more
core +1 more source
Cytomegalovirus Infection and Coronary Restenosis [PDF]
Circulation, 1999 Current techniques of percutaneous transluminal coronary revascularization remain limited by the phenomenon of restenosis. The response of the vessel wall to the iatrogenic injury associated with coronary interventions is a complex and multifactorial process. Experimental and clinical studies suggest that a combination of different mechanisms, such as (
Michel E. Bertrand, Christophe Bauters
openaire +2 more sources
Catheterization and Cardiovascular Interventions, EarlyView.ABSTRACT Background Coronary bifurcation lesions (CBL) account for ~20% of percutaneous coronary interventions (PCI). When using provisional stenting, optimal management of a diseased side branch (SB) remains debated. Drug‐coated balloons (DCBs) are an emerging option, but data on their role in CBL PCI are limited.
Matteo Rocchetti +7 more
wiley +1 more source
European Heart Journal, 2009 Aims The purpose of this study was to evaluate the GenousTM endothelial progenitor cell capturing stent vs. the Taxus Liberté paclitaxel-eluting stent in patients with de novo coronary lesions with a high-risk of coronary restenosis.
M. Beijk +11 more
semanticscholar +1 more source
The Current State of MicroRNAs as Restenosis Biomarkers
Frontiers in Genetics, 2020 In-stent restenosis corresponds to the diameter reduction of coronary vessels following percutaneous coronary intervention (PCI), an invasive procedure in which a stent is deployed into the coronary arteries, producing profuse neointimal hyperplasia. The
Nelson Varela +4 more
doaj +1 more source
A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography [PDF]
, 2018 Various types of atherosclerotic plaque and varying grades of stenosis could lead to different management of patients with coronary artery disease. Therefore, it is crucial to detect and classify the type of coronary artery plaque, as well as to detect and determine the degree of coronary artery stenosis.
arxiv +1 more source
Hyper Association Graph Matching with Uncertainty Quantification for Coronary Artery Semantic Labeling [PDF]
arXiv, 2023 Coronary artery disease (CAD) is one of the primary causes leading to death worldwide. Accurate extraction of individual arterial branches on invasive coronary angiograms (ICA) is important for stenosis detection and CAD diagnosis. However, deep learning-based models face challenges in generating semantic segmentation for coronary arteries due to the ...
arxiv