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Coronary plaque composition influences biomechanical stress and predicts plaque rupture in a morpho-mechanic OCT analysis

Milzi, Andrea; Lemma, Enrico D. 1; Dettori, Rosalia; Burgmaier, Kathrin; Marx, Nikolaus; Reith, Sebastian; Burgmaier, Mathias
1 Zoologisches Institut (ZOO), Karlsruher Institut für Technologie (KIT)

Abstract:

Plaque rupture occurs if stress within coronary lesions exceeds the protection exerted by the fibrous cap overlying the necrotic lipid core. However, very little is known about the biomechanical stress exerting this disrupting force. Employing optical coherence tomography (OCT), we generated plaque models and performed finite-element analysis to simulate stress distributions within the vessel wall in 10 ruptured and 10 non-ruptured lesions. In ruptured lesions, maximal stress within fibrous cap (peak cap stress [PCS]: 174 ± 67 vs. 52 ± 42 kPa, p<0.001) and vessel wall (maximal plaque stress [MPS]: 399 ± 233 vs. 90 ± 95 kPa, p=0.001) were significantly higher compared to non-ruptured plaques. Ruptures arose in the immediate proximity of maximal stress concentrations (angular distances: 21.8 ± 30.3° for PCS vs. 20.7 ± 23.7° for MPS); stress concentrations excellently predicted plaque rupture (area under the curve: 0.940 for PCS, 0.950 for MPS). This prediction of plaque rupture was superior to established vulnerability features such as fibrous cap thickness or macrophage infiltration. In conclusion, OCT-based finite-element analysis effectively assesses plaque biomechanics, which in turn predicts plaque rupture in patients. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000133562
Veröffentlicht am 03.06.2021
Originalveröffentlichung
DOI: 10.7554/eLife.64020
Scopus
Zitationen: 12
Dimensions
Zitationen: 15
Cover der Publikation
Zugehörige Institution(en) am KIT Zoologisches Institut (ZOO)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2050-084X
KITopen-ID: 1000133562
Erschienen in eLife
Verlag eLife Sciences Publications
Band 10
Nachgewiesen in Dimensions
Scopus
Web of Science
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