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节段性分析吲哚菁绿药代动力学在可靠诊断功能性血管功能不全中的应用。

Segmental analysis of indocyanine green pharmacokinetics for the reliable diagnosis of functional vascular insufficiency.

出版信息

J Biomed Opt. 2011 Mar;16(3):030504. doi: 10.1117/1.3556718.

DOI:10.1117/1.3556718
PMID:21456859
Abstract

Accurate and reliable diagnosis of functional insufficiency of peripheral vasculature is essential since Raynaud phenomenon (RP), most common form of peripheral vascular insufficiency, is commonly associated with systemic vascular disorders. We have previously demonstrated that dynamic imaging of near-infrared fluorophore indocyanine green (ICG) can be a noninvasive and sensitive tool to measure tissue perfusion. In the present study, we demonstrated that combined analysis of multiple parameters, especially onset time and modified T(max) which means the time from onset of ICG fluorescence to T(max), can be used as a reliable diagnostic tool for RP. To validate the method, we performed the conventional thermographic analysis combined with cold challenge and rewarming along with ICG dynamic imaging and segmental analysis. A case-control analysis demonstrated that segmental pattern of ICG dynamics in both hands was significantly different between normal and RP case, suggesting the possibility of clinical application of this novel method for the convenient and reliable diagnosis of RP.

摘要

准确可靠的外周血管功能不全诊断至关重要,因为雷诺现象(RP)是最常见的外周血管功能不全形式,常与系统性血管疾病相关。我们之前已经证明,近红外荧光染料吲哚菁绿(ICG)的动态成像可以作为一种非侵入性和敏感的工具来测量组织灌注。在本研究中,我们证明了对多个参数的综合分析,特别是起始时间和改良 T(max)(即 ICG 荧光起始到 T(max)的时间),可以作为 RP 的可靠诊断工具。为了验证该方法,我们进行了常规的热成像分析,结合冷挑战和复温以及 ICG 动态成像和节段分析。病例对照分析表明,正常组和 RP 组双手的 ICG 动力学节段模式有显著差异,这提示了这种新方法在方便可靠地诊断 RP 方面具有临床应用的可能性。

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