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Investigation of Confounding Factors in Measuring Tissue Saturation with NIRS Spatially Resolved Spectroscopy
Z Kovacsova1, G Bale2, S Mitra3
1Medical Physics & Biomedical Engineering, UCL, London, UK. zuzana.kovacsova.15@ucl.ac.uk.
Advances in Experimental Medicine and Biology
|September 5, 2018
Summary
This study optimized near-infrared spectroscopy (NIRS) for brain oxygenation monitoring. Adjusting wavelength selection and scattering dependence in broadband NIRS spatially resolved spectroscopy (SRS) significantly improves tissue oxygenation index (TOI) calculations.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Medical Physics
Background:
- Absolute measurement of brain tissue saturation using near-infrared spectroscopy (NIRS) is crucial for clinical monitoring.
- The Tissue Oxygenation Index (TOI) quantifies absolute mixed arterial and venous oxygen saturation, calculable via NIRS's Spatially Resolved Spectroscopy (SRS).
Purpose of the Study:
- To investigate the impact of various parameters on TOI calculation using broadband NIRS SRS data.
- Key parameters examined include wavelength selection, scattering dependence, source-detector distance, and water content resolution.
Main Methods:
- Utilized a broadband multi-distance continuous wave NIRS system to monitor 55 neonates with hypoxic-ischemic encephalopathy.
- Recorded 172 datasets, analyzing TOI under different algorithmic configurations.
Main Results:
- The standard approach yielded "good" TOI values in 157/172 datasets (mean 50%).
- Optimizing wavelength selection increased "good" datasets to 165/172 (mean 60%).
- Subject-specific scattering dependence significantly impacted TOI (p < 0.05); source-detector distance showed robustness.
Conclusions:
- Broadband NIRS SRS offers a viable method for exploring TOI calculations.
- Optimizing parameters like wavelength selection and scattering dependence can enhance the accuracy of brain tissue saturation measurements in clinical settings.
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