scholarly journals Stress Perfusion Cardiac Magnetic Resonance Imaging Effectively Risk Stratifies Diabetic Patients With Suspected Myocardial Ischemia

2016 ◽  
Vol 9 (4) ◽  
Author(s):  
Bobak Heydari ◽  
Yu-Hsiang Juan ◽  
Hui Liu ◽  
Siddique Abbasi ◽  
Ravi Shah ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Myocardial Ischemia ◽  
Cardiac Magnetic Resonance Imaging ◽  
Stress Perfusion ◽  
Diabetic Patients ◽  
Resonance Imaging

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

2021 ◽  
Vol 10 (15) ◽  
pp. 3342
Author(s):  
Rosalia Dettori ◽  
Andrea Milzi ◽  
Michael Frick ◽  
Kathrin Burgmaier ◽  
Mohammad Almalla ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Optical Coherence Tomography ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Myocardial Ischemia ◽  
Cardiac Magnetic Resonance Imaging ◽  
Optical Coherence ◽  
Diagnostic Efficiency ◽  
Resonance Imaging ◽  
Percent Area

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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