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用于外周动脉疾病的新兴光声成像技术

Emerging Photoacoustic Imaging Techniques for Peripheral Arterial Disease.

作者信息

Zhang Yide, Wang Lihong V

机构信息

Department of Electrical, Computer, and Energy Engineering, University of Colorado Boulder, 425 UCB, 1111 Engineering Dr ECEE 1B55, Boulder, CO 80309 USA.

Biomedical Engineering Program, University of Colorado Boulder, Boulder, CO 80309 USA.

出版信息

Curr Treat Options Cardiovasc Med. 2025;27(1):56. doi: 10.1007/s11936-025-01113-2. Epub 2025 Aug 28.

DOI:10.1007/s11936-025-01113-2
PMID:40893482
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12394336/
Abstract

PURPOSE OF REVIEW

Photoacoustic imaging (PAI) has emerged as a promising non-ionizing modality that leverages optical absorption contrast to provide both anatomical and functional insights into vascular health. This review examines recent advances in PAI technologies applied to the diagnosis, assessment, and management of peripheral arterial disease (PAD). The goal is to evaluate how emerging PAI techniques address current diagnostic limitations and to identify opportunities for clinical integration.

RECENT FINDINGS

Recent studies have demonstrated the potential of PAI to capture high-resolution, dynamic images of peripheral vasculature, quantify oxygen saturation and regional blood volume, and assess microvascular health. Technological innovations, including single-shot volumetric imaging, all-optical scanners, and multimodal systems, have expanded PAI's clinical utility.

SUMMARY

Emerging PAI systems show promise for complementing traditional imaging by providing functional insights into microvascular health. Continued technological development and validation through large-scale studies are essential for establishing PAI's clinical role in PAD diagnosis and management.

摘要

综述目的

光声成像(PAI)已成为一种很有前景的非电离成像方式,它利用光吸收对比度来提供有关血管健康的解剖学和功能信息。本综述探讨了应用于外周动脉疾病(PAD)诊断、评估和管理的PAI技术的最新进展。目的是评估新兴的PAI技术如何解决当前的诊断局限性,并确定临床整合的机会。

最新发现

最近的研究表明,PAI有潜力获取外周血管系统的高分辨率动态图像,量化氧饱和度和局部血容量,并评估微血管健康状况。包括单次容积成像、全光学扫描仪和多模态系统在内的技术创新扩大了PAI的临床应用。

总结

新兴的PAI系统有望通过提供有关微血管健康的功能信息来补充传统成像。通过大规模研究持续进行技术开发和验证对于确立PAI在PAD诊断和管理中的临床作用至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e04/12394336/d965048c9b21/11936_2025_1113_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e04/12394336/d965048c9b21/11936_2025_1113_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e04/12394336/d965048c9b21/11936_2025_1113_Fig1_HTML.jpg

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