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检测受损灌注:临床前缺血性中风中的光声成像

Sound out the impaired perfusion: Photoacoustic imaging in preclinical ischemic stroke.

作者信息

Menozzi Luca, Yang Wei, Feng Wuwei, Yao Junjie

机构信息

Department of Biomedical Engineering, Duke University, Durham, NC, United States.

Multidisciplinary Brain Protection Program, Department of Anesthesiology, Duke University, Durham, NC, United States.

出版信息

Front Neurosci. 2022 Dec 1;16:1055552. doi: 10.3389/fnins.2022.1055552. eCollection 2022.

Abstract

Acoustically detecting the optical absorption contrast, photoacoustic imaging (PAI) is a highly versatile imaging modality that can provide anatomical, functional, molecular, and metabolic information of biological tissues. PAI is highly scalable and can probe the same biological process at various length scales ranging from single cells (microscopic) to the whole organ (macroscopic). Using hemoglobin as the endogenous contrast, PAI is capable of label-free imaging of blood vessels in the brain and mapping hemodynamic functions such as blood oxygenation and blood flow. These imaging merits make PAI a great tool for studying ischemic stroke, particularly for probing into hemodynamic changes and impaired cerebral blood perfusion as a consequence of stroke. In this narrative review, we aim to summarize the scientific progresses in the past decade by using PAI to monitor cerebral blood vessel impairment and restoration after ischemic stroke, mostly in the preclinical setting. We also outline and discuss the major technological barriers and challenges that need to be overcome so that PAI can play a more significant role in preclinical stroke research, and more importantly, accelerate its translation to be a useful clinical diagnosis and management tool for human strokes.

摘要

光声成像(PAI)通过声学检测光吸收对比度,是一种高度通用的成像方式,能够提供生物组织的解剖、功能、分子和代谢信息。PAI具有高度可扩展性,可在从单细胞(微观)到整个器官(宏观)的各种长度尺度上探测相同的生物过程。利用血红蛋白作为内源性对比剂,PAI能够对大脑中的血管进行无标记成像,并绘制诸如血液氧合和血流等血流动力学功能图。这些成像优点使PAI成为研究缺血性中风的有力工具,特别是用于探究中风导致的血流动力学变化和脑血流灌注受损情况。在这篇叙述性综述中,我们旨在总结过去十年中利用PAI监测缺血性中风后脑血管损伤和恢复的科学进展,主要是在临床前环境中。我们还概述并讨论了需要克服的主要技术障碍和挑战,以便PAI能够在临床前中风研究中发挥更重要的作用,更重要的是,加速其转化为人类中风的有用临床诊断和管理工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce91/9751426/a08678fb8400/fnins-16-1055552-g001.jpg

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