Estimation of differential pathlength factor from NIRS measurement in skeletal muscle

Abstract

The utilization of continuous wave (CW) near-infrared spectroscopy (NIRS) device to measure non-invasively muscle oxygenation in healthy and disease states is limited by the uncertainties related to the differential path length factor ($\mathrm{DPF}$). $\mathrm{DPF}$ value is required to quantify oxygenated and deoxygenated heme groups’ concentration changes from measurement of optical densities by NIRS. An integrated approach that combines animal and computational models of oxygen transport and utilization was used to estimate the $\mathrm{DPF}$ value in situ. The canine model of muscle oxidative metabolism allowed measurement of both venous oxygen content and tissue oxygenation by CW NIRS under different oxygen delivery conditions. The experimental data obtained from the animal model were integrated in a computational model of O₂ transport and utilization and combined with Beer-Lambert law to estimate $\mathrm{DPF}$ value in contracting skeletal muscle. A 2.1 value was found for $\mathrm{DPF}$ by fitting the mathematical model to the experimental data obtained in contracting muscle (T3) (Med.Sci.Sports.Exerc.48(10):2013–2020,2016). With the estimated value of $\mathrm{DPF}$, model simulations well predicted the optical density measured by NIRS on the same animal model but with different blood flow, arterial oxygen contents and contraction rate (J.Appl.Physiol.108:1169–1176, 2010 and 112:9–19,2013) and demonstrated the robustness of the approach proposed in estimating $\mathrm{DPF}$ value. The approach used can overcome the semi-quantitative nature of the NIRS and estimate non-invasively $\mathrm{DPF}$ to obtain an accurate concentration change of oxygenated and deoxygenated hemo groups by CW NIRS measurements in contracting skeletal muscle under different oxygen delivery and contraction rate.