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Muscle oxygenation by near-infrared-based tissue oximeters

2009; American Physiological Society; Volume: 107; Issue: 1 Linguagem: Inglês

10.1152/japplphysiol.00215.2009

8750-7587

Valentina Quaresima, Marco Ferrari,

Cardiovascular and exercise physiology

LETTERS TO THE EDITORMuscle oxygenation by near-infrared-based tissue oximetersValentina Quaresima and Marco FerrariValentina Quaresima and Marco FerrariPublished Online:01 Jul 2009https://doi.org/10.1152/japplphysiol.00215.2009MoreSectionsPDF (31 KB)Download PDF ToolsExport citationAdd to favoritesGet permissionsTrack citations ShareShare onFacebookTwitterLinkedInEmailWeChat EVALUATION OF THE DYNAMICS OF MUSCLE OXYGENATION BY NEAR-INFRARED-BASED TISSUE OXIMETERSto the editor: In a recent article, R. C. Davies et al. (2) presented the results of a study investigating the effect of eccentric exercise-induced muscle damage on the dynamics of pulmonary O2 uptake by near-infrared spectroscopy-based measurement of oxygenation in the vastus lateralis muscle.Although these results are of interest (1), we believe that certain points concerning the presentation of the data concerning muscle oxygenation need to be addressed further. For measuring muscle oxygenation, Davies et al. (2) used a multi-distance spatially resolved tissue oximeter (NIRO-300, Hamamatsu Photonics KK) without exploiting the advantage of quantifying muscle oxygenation directly as tissue oxy-hemoglobin (O2Hb) saturation (namely tissue oxygenation index, TOI%). TOI reflects the dynamic balance between O2 supply and O2 consumption and is independent of near-infrared photons pathlength in muscle tissue (4, 9). Near-infrared spatially resolved spectroscopy implies that the light intensity is measured at several distances from the source detector (4). This noninvasive technique, therefore, allows measurement of the slope of light attenuation vs. distance, resulting in a high signal-to-noise ratio, without being as sensitive to optical coupling and superficial tissue layers (4). Davies et al. (2) made their physiological conclusions mainly on the basis of interpretation of the changes in deoxy-hemoglobin concentration [HHb]. The authors stated that “HHb signal is relatively insensitive to blood volume changes during exercise and thus reflects the balance between the delivery and utilization of O2.” This statement is incorrect and was erroneously attributed to the review published by Ferrari et al. (6), which makes no reference to this assumption. Indeed, [HHb] changes might represent tissue oxygenation changes only when tHb (tHb = O2Hb+HHb) is stable. Davies et al. (2), however, expressed HHb and tHb results as arbitrary units using different scales. The data should have been reported as changes in concentration expressed as micromoles per centimeters or micromoles [if a pathlength factor is used (5)] to make the data comparable with other studies. We would like to comment that, since the introduction of the tissue oximeters in 1995 (3), tissue O2Hb saturation ensures more accurate evaluation of changes in oxygenation in muscle and brain tissues (7, 9). Considering the potential physiological importance of the findings reported by Davies et al. (1), we would suggest that the results could be strengthened by including TOI data.REFERENCES1 Burnley M. Found in translation: the dependence of oxygen uptake kinetics on O2 delivery and O2 utilization. J Appl Physiol 105: 1413–1421, 2008.Link | ISI | Google Scholar2 Davies RC, Eston RG, Poole DC, Rowlands AV, DiMenna F, Wilkerson DP, Twist C, Jones AM. Effect of eccentric exercise-induced muscle damage on the dynamics of muscle oxygenation and pulmonary oxygen uptake. J Appl Physiol 105: 1413–1421, 2008.Link | ISI | Google Scholar3 De Blasi RA, Fantini S, Franceschini MA, Ferrari M, Gratton E. Cerebral and muscle oxygen saturation measurement by frequency-domain near-infra-red spectrometer. Med Biol Eng Comput 33: 228–230, 1995.Crossref | ISI | Google Scholar4 Delpy DT, Cope M. Quantification in tissue near-infrared spectroscopy. Philos Trans R Soc Lond B Biol Sci 352: 649–659, 1997.Crossref | ISI | Google Scholar5 Duncan A, Meek JH, Clemence M, Elwell CE, Tyszczuk L, Cope M, Delpy DT. Optical pathlength measurements on adult head, calf and forearm and the head of the newborn infant using phase resolved optical spectroscopy. Phys Med Biol 490: 295–304, 1995.Google Scholar6 Ferrari M, Binzoni T, Quaresima V. Oxidative metabolism in muscle. Philos Trans R Soc Lond B Biol Sci 352: 677–683, 1997.Crossref | PubMed | ISI | Google Scholar7 Ferrari M, Mottola L, Quaresima V. Principles, techniques, and limitations of near-infrared spectroscopy. Can J Appl Physiol 29: 463–487, 2004.Crossref | PubMed | Google Scholar8 Suzuki S, Takasaki S, Ozaki T, Kobayashi Y. A tissue oxygenation monitor using NIR spatially resolved spectroscopy. Proc SPIE 3597: 582–592, 1999.Crossref | Google Scholar9 Wolf M, Ferrari M, Quaresima V. Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications. J Biomed Opt 12: 062104, 2007.Crossref | PubMed | ISI | Google ScholarAUTHOR NOTESAddress for reprint requests and other correspondence: V. Quaresima, Dept. of Health Sciences, Univ. of L'Aquila, L'Aquila, Italy (e-mail: [email protected]) Download PDF Previous Back to Top Next FiguresReferencesRelatedInformationCited ByMuscle Oxygen Saturation Breakpoints Reflect Ventilatory Thresholds in Both Cycling and Running8 September 2022 | Journal of Human Kinetics, Vol. 83, No. 1Blood volume versus deoxygenated NIRS signal: computational analysis of the effects muscle O2 delivery and blood volume on the NIRS signalsB. Koirala, A. Concas, Yi Sun, L. B. Gladden, and N. 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Ferreira, Thomas J. Barstow, Shunsaku Koga, and David C. Poole1 July 2009 | Journal of Applied Physiology, Vol. 107, No. 1 More from this issue > Volume 107Issue 1July 2009Pages 371-371 Copyright & PermissionsCopyright © 2009 the American Physiological Societyhttps://doi.org/10.1152/japplphysiol.00215.2009PubMed19567814History Published online 1 July 2009 Published in print 1 July 2009 Metrics