Identification and quantification of macrophage presence in coronary atherosclerotic plaques by optical coherence tomography.

Autor:	Di Vito L; Interventional Cardiology Unit, San Giovanni Addolorata Hospital, Via dell'Amba Aradam 8, 00184 Rome, Italy CLI Foundation, Rome, Italy., Agozzino M; Centre for Inherited Cardiovascular Diseases, Policlinico San Matteo, Pavia, Italy., Marco V; CLI Foundation, Rome, Italy., Ricciardi A; CLI Foundation, Rome, Italy., Concardi M; Centre for Inherited Cardiovascular Diseases, Policlinico San Matteo, Pavia, Italy., Romagnoli E; CLI Foundation, Rome, Italy., Gatto L; Interventional Cardiology Unit, San Giovanni Addolorata Hospital, Via dell'Amba Aradam 8, 00184 Rome, Italy CLI Foundation, Rome, Italy., Calogero G; Centre for Inherited Cardiovascular Diseases, Policlinico San Matteo, Pavia, Italy., Tavazzi L; GVM Care and Research, Maria Cecilia Hospital, Ettore Sansavini Health Science Foundation, Cotignola, Italy., Arbustini E; Centre for Inherited Cardiovascular Diseases, Policlinico San Matteo, Pavia, Italy., Prati F; Interventional Cardiology Unit, San Giovanni Addolorata Hospital, Via dell'Amba Aradam 8, 00184 Rome, Italy CLI Foundation, Rome, Italy fprati@hsangiovanni.roma.it.
Jazyk:	angličtina
Zdroj:	European heart journal. Cardiovascular Imaging [Eur Heart J Cardiovasc Imaging] 2015 Jul; Vol. 16 (7), pp. 807-13. Date of Electronic Publication: 2015 Jan 14.
DOI:	10.1093/ehjci/jeu307
Abstrakt:	Aims: Vulnerable plaques are characterized by a high macrophage content. We investigated the optical coherence tomography (OCT) capability of identifying coronary plaque macrophage presence using tissue property indexes. Methods and Results: Fifteen epicardial coronary arteries were imaged by OCT and subsequently analysed by histology. Correlating OCT-histological sections were identified and regions of interest (ROIs) were selected on both atherosclerotic plaques and normal appearing vessel tracts. OCT-derived tissue property indexes named normalized standard deviation (NSD), signal attenuation, and granulometry index were applied on ROIs to identify inflamed ROIs defined as a macrophage percentage >10 by histology. Forty-three paired samples (OCT frame and histology section) were considered suitable as ROIs for analysis. Eleven out of 43 ROIs were considered inflamed and the remaining 32 ROIs were non-inflamed on the basis of histological count of macrophage percentage. All OCT-derived tissue property indexes were positively correlated with macrophage percentage (P = 0.0001 for all). Receiver operating characteristic curve analysis showed that NSD, granulometry index, and signal attenuation had a significant area under the curve (area = 0.906, 0.804, and 0.793, respectively). A two-step algorithm requiring to first apply NSD with a cut-off value of 0.0570 followed by granulometry index was able to identify an inflamed ROI with a sensitivity of 100% and a specificity of 96.8%. Conclusion: OCT was able to identify and quantify macrophage presence in coronary artery specimens using tissue property indexes. NSD and granulometry index showed the highest accuracy in identifying a significant plaque inflammation, especially if used together in a two-step algorithm. (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2015. For permissions please email: journals.permissions@oup.com.)
Databáze:	MEDLINE
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