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Lesion Geometry as Assessed by Optical Coherence Tomography Is Related to Myocardial Ischemia as Determined by Cardiac Magnetic Resonance Imaging

Introduction: Although the relationship between the geometry of coronary stenosis and the presence of myocardial ischemia is well known, the association between stenosis geometry and severity and/or extent of ischemia is still unexplored. Thus, we investigated this relationship using optical coheren...

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Autores principales: Dettori, Rosalia, Milzi, Andrea, Frick, Michael, Burgmaier, Kathrin, Almalla, Mohammad, Lubberich, Richard Karl, Marx, Nikolaus, Reith, Sebastian, Burgmaier, Mathias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348708/
https://www.ncbi.nlm.nih.gov/pubmed/34362126
http://dx.doi.org/10.3390/jcm10153342
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author Dettori, Rosalia
Milzi, Andrea
Frick, Michael
Burgmaier, Kathrin
Almalla, Mohammad
Lubberich, Richard Karl
Marx, Nikolaus
Reith, Sebastian
Burgmaier, Mathias
author_facet Dettori, Rosalia
Milzi, Andrea
Frick, Michael
Burgmaier, Kathrin
Almalla, Mohammad
Lubberich, Richard Karl
Marx, Nikolaus
Reith, Sebastian
Burgmaier, Mathias
author_sort Dettori, Rosalia
collection PubMed
description Introduction: Although the relationship between the geometry of coronary stenosis and the presence of myocardial ischemia is well known, the association between stenosis geometry and severity and/or extent of ischemia is still unexplored. Thus, we investigated this relationship using optical coherence tomography (OCT) to assess stenosis parameters and cardiac magnetic resonance imaging (CMR) to determine both extent and severity of ischemia. Methods: We analyzed 55 lesions from 51 patients with stable angina. Pre-interventionally, all patients underwent OCT-analysis of stenosis morphology as well as CMR to determine both the extent and severity of myocardial ischemia. Results: Percent area stenosis (%AS) was significantly associated with ischemic burden (r = 0.416, p = 0.003). Similar results could be obtained for other stenosis parameters as well as for several other parameters assessing the extent of ischemia. Furthermore, OCT-derived stenosis parameters were associated with the product of ischemic burden and severity of ischemia (%AS: r = 0.435, p = 0.002; similar results for other parameters). A Poiseuille’s-law-modelled combination of stenosis length and minimal lumen diameter yielded a good diagnostic efficiency (AUC 0.787) in predicting an ischemic burden >10%. Conclusions: Our data highlight the key role of the geometry of coronary lesions in determining myocardial ischemia.
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spelling pubmed-83487082021-08-08 Lesion Geometry as Assessed by Optical Coherence Tomography Is Related to Myocardial Ischemia as Determined by Cardiac Magnetic Resonance Imaging Dettori, Rosalia Milzi, Andrea Frick, Michael Burgmaier, Kathrin Almalla, Mohammad Lubberich, Richard Karl Marx, Nikolaus Reith, Sebastian Burgmaier, Mathias J Clin Med Article Introduction: Although the relationship between the geometry of coronary stenosis and the presence of myocardial ischemia is well known, the association between stenosis geometry and severity and/or extent of ischemia is still unexplored. Thus, we investigated this relationship using optical coherence tomography (OCT) to assess stenosis parameters and cardiac magnetic resonance imaging (CMR) to determine both extent and severity of ischemia. Methods: We analyzed 55 lesions from 51 patients with stable angina. Pre-interventionally, all patients underwent OCT-analysis of stenosis morphology as well as CMR to determine both the extent and severity of myocardial ischemia. Results: Percent area stenosis (%AS) was significantly associated with ischemic burden (r = 0.416, p = 0.003). Similar results could be obtained for other stenosis parameters as well as for several other parameters assessing the extent of ischemia. Furthermore, OCT-derived stenosis parameters were associated with the product of ischemic burden and severity of ischemia (%AS: r = 0.435, p = 0.002; similar results for other parameters). A Poiseuille’s-law-modelled combination of stenosis length and minimal lumen diameter yielded a good diagnostic efficiency (AUC 0.787) in predicting an ischemic burden >10%. Conclusions: Our data highlight the key role of the geometry of coronary lesions in determining myocardial ischemia. MDPI 2021-07-28 /pmc/articles/PMC8348708/ /pubmed/34362126 http://dx.doi.org/10.3390/jcm10153342 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dettori, Rosalia
Milzi, Andrea
Frick, Michael
Burgmaier, Kathrin
Almalla, Mohammad
Lubberich, Richard Karl
Marx, Nikolaus
Reith, Sebastian
Burgmaier, Mathias
Lesion Geometry as Assessed by Optical Coherence Tomography Is Related to Myocardial Ischemia as Determined by Cardiac Magnetic Resonance Imaging
title Lesion Geometry as Assessed by Optical Coherence Tomography Is Related to Myocardial Ischemia as Determined by Cardiac Magnetic Resonance Imaging
title_full Lesion Geometry as Assessed by Optical Coherence Tomography Is Related to Myocardial Ischemia as Determined by Cardiac Magnetic Resonance Imaging
title_fullStr Lesion Geometry as Assessed by Optical Coherence Tomography Is Related to Myocardial Ischemia as Determined by Cardiac Magnetic Resonance Imaging
title_full_unstemmed Lesion Geometry as Assessed by Optical Coherence Tomography Is Related to Myocardial Ischemia as Determined by Cardiac Magnetic Resonance Imaging
title_short Lesion Geometry as Assessed by Optical Coherence Tomography Is Related to Myocardial Ischemia as Determined by Cardiac Magnetic Resonance Imaging
title_sort lesion geometry as assessed by optical coherence tomography is related to myocardial ischemia as determined by cardiac magnetic resonance imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348708/
https://www.ncbi.nlm.nih.gov/pubmed/34362126
http://dx.doi.org/10.3390/jcm10153342
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