Role of Intravascular imaging for the diagnosis of recanalized coronary thrombus.

Author(s):  
Rajesh Vijayvergiya ◽  
Ganesh Kasinadhuni ◽  
Pruthvi C. Revaiah ◽  
Puneet Sharma ◽  
Basant Kumar ◽  
...  
2010 ◽  
Vol 23 (3) ◽  
pp. 216-222
Author(s):  
YASUMI UCHIDA ◽  
YASUTO UCHIDA ◽  
MASAHITO KANAI ◽  
TAKESHI SAKURAI ◽  
TOMOMITSU OSHIMA ◽  
...  

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Sorin Giusca ◽  
Tom Eisele ◽  
Jan Karcher ◽  
Grigorios Korosoglou

Author(s):  
D. A. Maximkin ◽  
J. M. Bolivogu ◽  
A. G. Faybushevich ◽  
A. G. Chepurnoy ◽  
Z. Kh. Shugushev

Objective Assessment of the role of intravascular imaging methods in choosing the surgical strategy of myocardial revascularization.Material and Methods The study included 62 patients with diffuse and multivessel coronary artery disease, who underwent percutaneous coronary infervention (PCI) using intravascular imaging methods. Measurement of fractional flow reserve (FFR) in diffusely altered arteries was performed under conditions of maximum hyperemia, sequentially between stenoses, using the sensor, starting from the distal segment. Initially, the most distal hemodynamically significant stenosis was stented. Then, a repeated measurement of FFR was performed, and the issue of the need for stenting of other stenoses was solved. The results of stenting, as well as determination of the area of stent implantation were carried out by the method of optical coherence tomography (OCT).Results After FFR measurement the number of arteries with hemodynamically significant stenoses decreased by 24.7% (from 93 to 70). It was also noted that in patients with two-vessel lesions, the average number of such stenoses decreased from 2.95 ± 0.65 to 1.82 ± 0.88, and in patients with three-vessel lesions – from 2.96 ± 0.6 to 2.24 ± 0.76 respectively (p = 0.0024). Complete (functionally adequate according to FFR measurements) myocardial revascularization was achieved in 88.7% of patients. The second-generation drug eluting stents were implanted in 82 (47.1%) patients, and the third generation stents – in 92 (52.9%) patients. At the same time, the success rate of recanalization of occlusions was 100%. Overall, optimal stent implantation was achieved in all patients. Major cardiovascular complications were observed in 1 (1.6%) patient, which required additional interventions.Conclusion Complex use of intravascular imaging methods (OCT and FFR measurements) allows a differentiated approach to the assessment of each stenosis of the affected artery in patients with diffuse and multivessel coronary lesions, to achieve a high frequency of complete myocardial revascularization, as well as to reduce the number of unnecessary interventions and intraoperative complications.


2021 ◽  
Vol 5 (6) ◽  
Author(s):  
Anthony Matta ◽  
Khaled Elenizi ◽  
Meyer Elbaz ◽  
Jerome Roncalli

Abstract Background Left main coronary thrombus is a rare angiographic finding associated with serious outcomes such as sudden death and cardiogenic shock. Rupture of an underlying atherosclerotic plaque is the main risk factor. The role of cannabis consumption in the pathophysiology of acute cardiovascular disease is controversial. Case presentation We present a case of non-ST-elevation myocardial infarction characterized by a mobile left main coronary thrombus in a young male cannabis consumer successfully treated with manual aspiration, dual anti-platelet, and unfractionated heparin therapy. Conclusion Cannabis consumption could be a risk factor for coronary artery thrombosis. The pathophysiology mechanism of action is not well understood. Reaching an optimal management is a potential challenge for physicians.


2017 ◽  
Vol 13 (6) ◽  
pp. 644-653 ◽  
Author(s):  
Christos Bourantas ◽  
Erhan Tenekecioglu ◽  
Maria Radu ◽  
Lorenz Räber ◽  
Patrick Serruys

2021 ◽  
Vol 16 ◽  
Author(s):  
Karthik Seetharam ◽  
Sirish Shrestha ◽  
Partho P Sengupta

Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can perform various actions and execute decision-making. Machine learning (ML), a branch of AI, can analyse information from data and discover novel patterns. AI and ML are rapidly gaining prominence in healthcare as data become increasingly complex. These algorithms can enhance the role of cardiovascular imaging by automating many tasks or calculations, find new patterns or phenotypes in data and provide alternative diagnoses. In interventional cardiology, AI can assist in intraprocedural guidance, intravascular imaging and provide additional information to the operator. AI is slowly expanding its boundaries into interventional cardiology and can fundamentally alter the field. In this review, the authors discuss how AI can enhance the role of cardiovascular imaging and imaging in interventional cardiology.


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