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利用基于扩散的模型研究有限光谱信息对近红外光谱法测定的血红蛋白和细胞色素c氧化酶浓度变化的影响。

Investigating the effect of limited spectral information on NIRS-derived changes in hemoglobin and cytochrome-c-oxidase concentration with a diffusion-based model.

作者信息

Leadley Georgina, Cooper Robert J, Austin Topun, Hebden Jeremy C, Bale Gemma

机构信息

Department of Paediatrics, University of Cambridge, UK.

Department of Engineering, University of Cambridge, UK.

出版信息

Biomed Opt Express. 2024 Sep 17;15(10):5912-5931. doi: 10.1364/BOE.531775. eCollection 2024 Oct 1.

DOI:10.1364/BOE.531775
PMID:39421769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11482185/
Abstract

This paper investigates the theoretical capability of near-infrared spectroscopy (NIRS) systems to accurately measure changes in the oxidation state of cerebral cytochrome-c-oxidase (CCO) alongside the hemoglobins, for a deeper understanding of NIRS limitations. Concentration changes of oxy and deoxyhemoglobin (HbO and HbR) indicate the oxygen status of blood vessels and correlate with several other physiological parameters across different pathologies. The oxidation state of CCO indicates cellular energy usage efficiency through oxidative metabolism, potentially serving as a biomarker for brain and other tissue disorders. This study employs an analytical model based on the diffusion equation and statistical analyses to explore the dependency of estimated concentration changes on various systematic parameters, such as choice of wavelengths, spectral bandwidth, and uncertainties in extinction coefficient () and differential pathlength factor (DPF). When there is a 10% uncertainty in DPF and , errors were found to be highly dependent on the number of discrete wavelengths, but not on their bandwidth if appropriate considerations are taken to account for it.

摘要

本文研究了近红外光谱（NIRS）系统精确测量脑线粒体细胞色素c氧化酶（CCO）与血红蛋白氧化状态变化的理论能力，以更深入地了解NIRS的局限性。氧合血红蛋白和脱氧血红蛋白（HbO和HbR）的浓度变化表明血管的氧状态，并与不同病理状态下的其他几个生理参数相关。CCO的氧化状态通过氧化代谢表明细胞能量利用效率，可能作为脑和其他组织疾病的生物标志物。本研究采用基于扩散方程的分析模型和统计分析，探讨估计浓度变化对各种系统参数的依赖性，如波长选择、光谱带宽以及消光系数（）和微分程长因子（DPF）的不确定性。当DPF和存在10%的不确定性时，发现误差高度依赖于离散波长的数量，但如果适当考虑带宽因素，则不依赖于带宽。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/11482185/070aaab09b54/boe-15-10-5912-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/11482185/a49ad730bc0b/boe-15-10-5912-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/11482185/ff085e0e691a/boe-15-10-5912-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac78/11482185/08ac557fe82d/boe-15-10-5912-g009.jpg
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