Plaque burden influences accurate classification of fibrous cap atheroma by in vivo optical coherence tomography in a porcine model of advanced coronary atherosclerosis
| Autor: | Poulsen, C.B., Pedrigi, R.M., Pareek, N., Kılıç, İsmail Doğu, Holm, N.R., Bentzon, J.F., Bøtker, H.E., Falk, E., Krams, R., De Silva, R. |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
transgenic pig
genetic structures animal experiment disease classification Coronary artery disease Article animal tissue disease burden image analysis atheroma nonhuman optical coherence tomography hypercholesterolemia animal model image reconstruction eye diseases coronary artery atherosclerosis image processing female Preclinical research sensitivity and specificity fibrous cap atheroma Yucatan micropig histopathology sense organs iohexol coronary angiography lipid diet |
| Popis: | Aims: In vivo validation of coronary optical coherence tomography (OCT) against histology and the effects of plaque burden (PB) on plaque classification remain unreported. We aimed to investigate this in a porcine model with human-like coronary atherosclerosis. Methods and results: Five female Yucatan D374Y-PCSK9 transgenic hypercholesterolaemic minipigs were implanted with a coronary shear-modifying stent to induce advanced atherosclerosis. OCT frames (n=201) were obtained 34 weeks after implantation. Coronary arteries were perfusion-fixed, serially sectioned and co-registered with OCT using a validated algorithm. Lesions were adjudicated using the Virmani classification and PB assessed from histology. OCT had a high sensitivity, but modest specificity (92.9% and 74.6%), for identifying fibrous cap atheroma (FCA). The reduced specificity for OCT was due to mis-classification of plaques with histologically defined pathological intimal thickening (PIT) as FCA (46.1% of the frames with histological PIT were misclassified). PIT lesions misclassified as FCA by OCT had a statistically higher PB than in other OCT frames (median 32.0% versus 13.4%; p |
| Databáze: | OpenAIRE |
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