OBJECTIVES: To obtain the size of regional myocardial mass for individual coronary arteries in vivo. BACKGROUND: The anatomic site of occlusion in a coronary artery does not predict the size of the risk area because location of the occlusion does not account for the size of the artery or of its dependent myocardial bed. METHODS: Intracoronary radiolabeled microspheres were injected and coronary arteriograms were quantitatively analyzed by semiautomated methods. The coronary artery lumen areas and the sum of epicardial coronary artery branch lengths distal to the points where radiomicrospheres had been injected were determined from both in vivo and postmortem coronary arteriograms. Regional myocardial mass distal to the point of each microsphere injection was correlated with corresponding distal summed coronary branch lengths and with coronary artery lumen areas. RESULTS: 1) Regional myocardial mass was closely and linearly related to sum of coronary artery branch lengths distal to any point in the coronary artery tree and therefore could be determined for any location on a coronary arteriogram. 2) The fraction of total left ventricular mass at risk distal to a stenosis could be determined from the corresponding fraction of total coronary artery tree length independently of the scale or X-ray magnification used to measure absolute branch lengths. 3) Cross-sectional lumen area at any point in the left coronary artery tree was closely related to the size of the dependent vascular bed with a curvilinear relation similar to that observed in humans with normal coronary arteriograms. CONCLUSIONS: On coronary arteriograms, the anatomic area at risk for myocardial infarction distal to any point in the coronary artery tree can be determined from the sum of distal coronary artery branch lengths. There is a curvilinear relation between coronary artery lumen area and dependent regional myocardial mass comparable to that in humans, reflecting fundamental physical principles underlying the structure of the coronary vascular tree.
OBJECTIVES: To obtain the size of regional myocardial mass for individual coronary arteries in vivo. BACKGROUND: The anatomic site of occlusion in a coronary artery does not predict the size of the risk area because location of the occlusion does not account for the size of the artery or of its dependent myocardial bed. METHODS: Intracoronary radiolabeled microspheres were injected and coronary arteriograms were quantitatively analyzed by semiautomated methods. The coronary artery lumen areas and the sum of epicardial coronary artery branch lengths distal to the points where radiomicrospheres had been injected were determined from both in vivo and postmortem coronary arteriograms. Regional myocardial mass distal to the point of each microsphere injection was correlated with corresponding distal summed coronary branch lengths and with coronary artery lumen areas. RESULTS: 1) Regional myocardial mass was closely and linearly related to sum of coronary artery branch lengths distal to any point in the coronary artery tree and therefore could be determined for any location on a coronary arteriogram. 2) The fraction of total left ventricular mass at risk distal to a stenosis could be determined from the corresponding fraction of total coronary artery tree length independently of the scale or X-ray magnification used to measure absolute branch lengths. 3) Cross-sectional lumen area at any point in the left coronary artery tree was closely related to the size of the dependent vascular bed with a curvilinear relation similar to that observed in humans with normal coronary arteriograms. CONCLUSIONS: On coronary arteriograms, the anatomic area at risk for myocardial infarction distal to any point in the coronary artery tree can be determined from the sum of distal coronary artery branch lengths. There is a curvilinear relation between coronary artery lumen area and dependent regional myocardial mass comparable to that in humans, reflecting fundamental physical principles underlying the structure of the coronary vascular tree.
Authors: Nearchos Hadjiloizou; Justin E Davies; Iqbal S Malik; Jazmin Aguado-Sierra; Keith Willson; Rodney A Foale; Kim H Parker; Alun D Hughes; Darrel P Francis; Jamil Mayet Journal: Am J Physiol Heart Circ Physiol Date: 2008-07-18 Impact factor: 4.733
Authors: Marina Piccinelli; Cesar Santana; Gopi Kiran R Sirineni; Russell D Folks; C David Cooke; Chesnal D Arepalli; Santiago Aguade-Bruix; Zohar Keidar; Alex Frenkel; Ora Israel; Jaume Candell-Riera; Ernest V Garcia Journal: J Nucl Cardiol Date: 2017-02-13 Impact factor: 5.952
Authors: Hernán Mejía-Rentería; Nina van der Hoeven; Tim P van de Hoef; Julius Heemelaar; Nicola Ryan; Amir Lerman; Niels van Royen; Javier Escaned Journal: Int J Cardiovasc Imaging Date: 2017-05-13 Impact factor: 2.357
Authors: Yunlong Huo; Thomas Wischgoll; Jenny Susana Choy; Srikanth Sola; Jose L Navia; Shawn D Teague; Deepak L Bhatt; Ghassan S Kassab Journal: Radiology Date: 2013-04-24 Impact factor: 11.105