頚動脈プラーク摘出標本を用いた近赤外線分光法によるプラーク分布と病理学的評価の整合性
| Autor: | Kotsugi, Masashi, Nakagawa, Ichiro, Hatakeyama, Kinta, Park, HunSoo, Sato, Fumiya, Furuta, Takanori, Nishimura, Fumihiko, Yamada, Shuichi, Motoyama, Yasushi, Park, Young-Soo, Nakase, Hiroyuki |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Neurologia medico-chirurgica. 60(10):499-506 |
| ISSN: | 0470-8105 |
| Popis: | Carotid artery stenting (CAS) is performed as a treatment for carotid artery stenosis. However, lipid-rich plaques cause embolic complications and sequelae. Near-infrared spectroscopy (NIRS) can identify lipid components by applying a near-infrared absorption pattern, and the distribution of lipid components can be evaluated as the maximum lipid core burden index (maxLCBI). Intravascular ultrasound (IVUS) equipped with NIRS has been clinically applied recently, and its diagnostic usefulness and validation have been reported for coronary arteries; however, its consistency with actual pathological diagnosis in carotid artery lesions has not been validated. In this study, we investigated the consistency between the maxLCBI values and histopathological diagnoses. Patients with cervical carotid artery stenosis who underwent carotid endarterectomy (CEA) were examined in this prospective study. Pathological diagnosis was determined after NIRS evaluation, which was performed on the extracted plaques ex vivo. The histological slices of decalcified and paraffin-embedded sections were stained by hematoxylin-eosin (HE) and Elastica van Gieson (EVG), and for low-density lipoprotein (LDL), C-reactive protein (CRP), CD68, and glycophorin A. The correlation between maxLCBI values and histological findings. Seventy lesions assessed by NIRS were pathologically analyzed. There was a positive linear correlation between maxLCBI values and pathological findings as determined by HE (angle), HE (area%), EVG, CRP, and CD68 staining (respectively, r = 0.624, p 博士（医学）・乙第1482号・令和2年12月24日 Copyright© 2020 by The Japan Neurosurgical Society This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International License(https://creativecommons.org/licenses/by-nc-nd/4.0/). |
| Databáze: | OpenAIRE |
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