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Heavy macrophage infiltration identified by optical coherence tomography relates to plaque rupture

Authors :
Xuan Shi
Tao Tao
Yi Wang
Yunfei Han
Xiaohui Xu
Qin Yin
Fang Wang
Rui Liu
Xinfeng Liu
Source :
Annals of Clinical and Translational Neurology, Vol 10, Iss 12, Pp 2334-2346 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Objective Risk stratification plays a critical role in patients with asymptomatic carotid atherosclerotic stenosis. Heavy macrophage infiltration (HMC) is an important factor of plaque destabilization. However, in vivo imaging technologies and screening criteria for HMC remain limited. We aimed to (i) introduce algorithms for in vivo detection of macrophage infiltrations using optical coherence tomography (OCT) and (ii) to investigate the threshold of HMC and its association with plaque vulnerability. Methods Ex vivo OCT images were co‐registered with histopathology in 282 cross‐sectional pairs from 19 carotid endarterectomy specimens. Of these, 197 randomly selected pairs were employed to define the parameters, and the remaining 85 pairs were used to evaluate the accuracy of the OCT‐based algorithm in detecting macrophage infiltrations. Clinical analysis included 93 patients receiving carotid OCT evaluation. The prevalence and burden of macrophage infiltration were analyzed. Multivariable and subgroup analysis were performed to investigate the association between HMC and plaque rupture. Results The sensitivity and specificity of algorithm for detecting macrophage infiltration were 88.0% and 74.9%, respectively. Of 93 clinical patients, ruptured plaques exhibited higher prevalence of macrophage infiltration than nonruptured plaques (83.7% [36/43] vs 32.0% [16/50], p

Details

Language :
English
ISSN :
23289503
Volume :
10
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Annals of Clinical and Translational Neurology
Publication Type :
Academic Journal
Accession number :
edsdoj.8c9c891f74c4b0592964fe4af79f088
Document Type :
article
Full Text :
https://doi.org/10.1002/acn3.51923