Quantifying consistency in tissue oxygenation across anatomical landmarks in healthy individuals through near-infrared spectroscopy

Near-infrared spectroscopy (NIRS) is a non-invasive optical technique that leverages NIR light penetration in tissues to measure tissue oxygenation levels. In the spatially-resolved (SR) configuration, NIRS devices can monitor regional oxygenation percentage (rSO₂). There has been a debate about the normal range of tissue rSO<sub>2</sub> and the reliable anatomical landmark as a control site for clinical NIRS studies. The primary objective of this research was to establish a baseline measure of average rSO<sub>2</sub> in healthy individuals and identify the most reliable anatomical landmark for NIRS measurements. Tissue rSO<sub>2</sub> was collected from 18 different body locations from a cohort of healthy adult participants using a clinical continuous-wave SR-NIRS device. Data was collected continuously at a sampling rate of 0.5 Hz for 30 seconds per site in a supine position. Twenty participants (15 males and five females), with a mean age of 29.5 years, participated in this study. The average body rSO₂ calculated as 74.2% &plusmn;1.6 among 20 participants. Among all 18 anatomical landmarks, the highest rSO₂ values were observed at the infraorbital region, with 79.0% on the left (SD &plusmn;3.7) and 78.6% on the right (SD &plusmn;3.7) and the lowest rSO<sub>2</sub> was observed in thenar eminence region with 67.9% (SD &plusmn;4.5) on the right and 68.2% (&plusmn;3.8) on the left side. The sternum demonstrated a rSO₂ value of 74.8% (SD &plusmn;2.8), with the lowest standard deviation overall. Sternum has been identified as a reliable anatomical landmark for NIRS data collection in the human body.

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Publication Details

Published
2025-03-20
DOI
https://doi.org/10.1117/12.3040846
Citations
1
Primary Topic
Optical Imaging and Spectroscopy Techniques
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article
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1.36
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Quantifying consistency in tissue oxygenation across anatomical landmarks in healthy individuals through near-infrared spectroscopy

Jean Bégin, Babak Shadgan, Mehdi Nourizadeh, Ahmad Momeni Rad et al.
1 citations
Optical Imaging and Spectroscopy Techniques
1.36
article

Quantifying consistency in tissue oxygenation across anatomical landmarks in healthy individuals through near-infrared spectroscopy

Jean Bégin, Babak Shadgan, Mehdi Nourizadeh, Ahmad Momeni Rad, Vincent Levandier, Kiana Jahanshahi
article en
1 citations

Abstract

Near-infrared spectroscopy (NIRS) is a non-invasive optical technique that leverages NIR light penetration in tissues to measure tissue oxygenation levels. In the spatially-resolved (SR) configuration, NIRS devices can monitor regional oxygenation percentage (rSO₂). There has been a debate about the normal range of tissue rSO<sub>2</sub> and the reliable anatomical landmark as a control site for clinical NIRS studies. The primary objective of this research was to establish a baseline measure of average rSO<sub>2</sub> in healthy individuals and identify the most reliable anatomical landmark for NIRS measurements. Tissue rSO<sub>2</sub> was collected from 18 different body locations from a cohort of healthy adult participants using a clinical continuous-wave SR-NIRS device. Data was collected continuously at a sampling rate of 0.5 Hz for 30 seconds per site in a supine position. Twenty participants (15 males and five females), with a mean age of 29.5 years, participated in this study. The average body rSO₂ calculated as 74.2% &plusmn;1.6 among 20 participants. Among all 18 anatomical landmarks, the highest rSO₂ values were observed at the infraorbital region, with 79.0% on the left (SD &plusmn;3.7) and 78.6% on the right (SD &plusmn;3.7) and the lowest rSO<sub>2</sub> was observed in thenar eminence region with 67.9% (SD &plusmn;4.5) on the right and 68.2% (&plusmn;3.8) on the left side. The sternum demonstrated a rSO₂ value of 74.8% (SD &plusmn;2.8), with the lowest standard deviation overall. Sternum has been identified as a reliable anatomical landmark for NIRS data collection in the human body.

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Optical Imaging and Spectroscopy Techniques
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