Print Email Facebook Twitter Optical coherence tomography attenuation imaging for lipid core detection Title Optical coherence tomography attenuation imaging for lipid core detection: an ex-vivo validation study Author Gnanadesigan, Muthukaruppan (Erasmus MC) Hussain, Ali S. (Bristol Heart Institute) White, Stephen (University of Bristol) Scoltock, Simon (University of Bristol) Baumbach, Andreas (Bristol Heart Institute) van der Steen, A.F.W. (TU Delft ImPhys/Acoustical Wavefield Imaging; Erasmus MC) Regar, E.S. (Erasmus MC) Johnson, Thomas W. (Bristol Heart Institute) van Soest, G. (Erasmus MC) Date 2017-01-01 Abstract Lipid-core atherosclerotic plaques are associated with disease progression, procedural complications, and cardiac events. Coronary plaque lipid can be quantified in optical coherence tomography (OCT) pullbacks by measurement of lipid arcs and lipid lengths; parameters frequently used in clinical research, but labor intensive and subjective to analyse. In this study, we investigated the ability of quantitative attenuation, derived from intravascular OCT, to detect plaque lipid. Lipid cores are associated with a high attenuation coefficient. We compared the index of plaque attenuation (IPA), a local quantitative measure of attenuation, to the manually measured lipid score (arc and length) on OCT images, and to the plaque characterization ex-vivo. We confirmed a correlation between the IPA and lipid scores (r2 > 0.7). Comparison to histology shows that high attenuation is associated with fibroatheroma, but also with macrophage presence. IPA is a robust, reproducible, and user-independent measure that facilitates quantification of coronary lipid, a potential tool in clinical research and in guiding percutaneous coronary intervention. Subject AttenuationLipid core plaqueOptical coherence tomography To reference this document use: http://resolver.tudelft.nl/uuid:42c3497d-cd22-4f71-8761-f1ad0d77b249 DOI https://doi.org/10.1007/s10554-016-0968-z ISSN 1569-5794 Source International Journal of Cardiovascular Imaging, 33 (1), 5-11 Part of collection Institutional Repository Document type journal article Rights © 2017 Muthukaruppan Gnanadesigan, Ali S. Hussain, Stephen White, Simon Scoltock, Andreas Baumbach, A.F.W. van der Steen, E.S. Regar, Thomas W. Johnson, G. van Soest Files PDF 10.1007_s10554_016_0968_z.pdf 1.23 MB Close viewer /islandora/object/uuid:42c3497d-cd22-4f71-8761-f1ad0d77b249/datastream/OBJ/view