Normal patterns of left ventricle rest myocardial perfusion assessed by third‐generation cardiac computed tomography

2019 ◽  
Vol 40 (1) ◽  
pp. 30-36 ◽  
Author(s):  
Ernesto Forte ◽  
Bruna Punzo ◽  
Federico Gentile ◽  
Marco Salvatore ◽  
Carlo Cavaliere ◽  
...  

2018 ◽  
Vol 39 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Daria Frestad Bechsgaard ◽  
Ida Gustafsson ◽  
Jesper James Linde ◽  
Klaus Fuglsang Kofoed ◽  
Eva Prescott ◽  
...  


2009 ◽  
Vol 54 (12) ◽  
pp. 1072-1084 ◽  
Author(s):  
Ron Blankstein ◽  
Leon D. Shturman ◽  
Ian S. Rogers ◽  
Jose A. Rocha-Filho ◽  
David R. Okada ◽  
...  


2015 ◽  
Vol 39 (1) ◽  
pp. 125-127
Author(s):  
Sung Su Byun ◽  
Yon Mi Sung ◽  
Kyounghoon Lee ◽  
Yoon Kyung Kim ◽  
Jae Hyung Park


2017 ◽  
Vol 38 (30) ◽  
pp. 2378-2378
Author(s):  
Ralph Stephan von Bardeleben ◽  
Walter Kasper-König ◽  
Efthemidis Sotiriou ◽  
Andres Beiras-Fernandez ◽  
Christian Friedrich Vahl ◽  
...  




ESC CardioMed ◽  
2018 ◽  
pp. 106-110
Author(s):  
Robert Manka ◽  
Sabrina Oebel

The continuous development of cardiac imaging modalities in recent years has led to a better understanding of myocardial perfusion on a structural level by allowing detection of myocardial blood flow alterations caused by obstructed coronary arteries or different cardiac pathologies. Apart from direct visualization of the epicardial coronary arteries by coronary angiography or cardiac computed tomography, the diagnosis of functionally relevant stenosis often requires additional techniques such as invasive fractional flow reserve measurements. The possibility of a non-invasive assessment of coronary perfusion status including pathologies which may otherwise evade detection by standard angiography, such as microvascular disease, by imaging modalities such as single-photon emission computed tomography and cardiovascular magnetic resonance imaging has significantly changed clinical management of patients with suspected or known coronary artery disease. Using an integrated diagnostic approach combining functional information gained by perfusion studies and structural data covering coronary anatomy, the planning of interventional procedures and further risk stratification may be significantly improved.



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