15 February 2006 Fiber optic based multiparametric spectroscopy in vivo: toward a new quantitative tissue vitality index
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In our previous publication (Mayevsky et al SPIE 5326: 98-105, 2004) we described a multiparametric fiber optic system enabling the evaluation of 4 physiological parameters as indicators of tissue vitality. Since the correlation between the various parameters may differ in various pathophysiological conditions there is a need for an objective quantitative index that will integrate the relative changes measured in real time by the multiparametric monitoring system into a single number-vitality index. Such an approach to calculate tissue vitality index is critical for the possibility to use such an instrument in clinical environments. In the current presentation we are reporting our preliminary results indicating that calculation of an objective tissue vitality index is feasible. We used an intuitive empirical approach based on the comparison between the calculated index by the computer and the subjective evaluation made by an expert in the field of physiological monitoring. We used the in vivo brain of rats as an animal model in our current studies. The rats were exposed to anoxia, ischemia and cortical spreading depression and the responses were recorded in real time. At the end of the monitoring session the results were analyzed and the tissue vitality index was calculated offline. Mitochondrial NADH, tissue blood flow and oxy-hemoglobin were used to calculate the vitality index of the brain in vivo, where each parameter received a different weight, in each experiment type based on their significance. It was found that the mitochondrial NADH response was the main factor affected the calculated vitality index.
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Hofit Kutai-Asis, Hofit Kutai-Asis, Efrat Barbiro-Michaely, Efrat Barbiro-Michaely, Assaf Deutsch, Assaf Deutsch, Avraham Mayevsky, Avraham Mayevsky, } "Fiber optic based multiparametric spectroscopy in vivo: toward a new quantitative tissue vitality index", Proc. SPIE 6083, Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications VI, 608310 (15 February 2006); doi: 10.1117/12.675755; https://doi.org/10.1117/12.675755

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