Analysis of NIRS-Based Muscle Oxygenation Parameters by Inclusion of Adipose Tissue Thickness

Grieger, S.; Geraskin, Dmitri; Steimers, André; Kohl‐Bareis, Matthias

doi:10.1007/978-1-4614-7411-1_18

Cited by 10 publications

(14 citation statements)

References 5 publications

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“…1 Another plausible explanation for these divergent findings could be the fact that the correlation between ATT and totHb is significantly weaker in forearm muscles compared to leg muscles, probably due to a smaller muscle tissue thickness. 13 In contrast to the study of Grieger et al, 13 we found a significant correlation coefficient between SmO 2 and ATT in forearm muscles. These opposite results could be clarified by the fact that we measured minimal saturation values during exercise, whereas Grieger et al 13 used resting baseline values.…”

Section: Discussioncontrasting

confidence: 99%

“…On the contrary, no significant relation was found with totHb which is, however, in contradiction with other studies showing a significant negative relation between totHb measurements and ATT. 11,13,15 This could be due to the fact that a different NIRS technology was used in these studies, whereas CW spatially resolved spectroscopy obtains a scaled absolute value of tHb. 1 In this study FD NIRS was used, where tHb values are derived from the absolute concentration values of oxy[Hb þ Mb] and deoxy[Hb þ Mb].…”

Section: Discussionmentioning

confidence: 99%

“…The possible influence of subcutaneous ATT is an important factor determining the NIRS signal. 11–14 Ferrari et al. 1 stated that the NIRS technique is therefore constrained to lean participants, strongly limiting the clinical application of this tool.…”

Section: Introductionmentioning

confidence: 99%

“…The possible influence of subcutaneous ATT is an important factor determining the NIRS signal. [11][12][13][14] Ferrari et al 1 stated that the NIRS technique is therefore constrained to lean participants, strongly limiting the clinical application of this tool. Although some correction algorithms have been developed 15,16 to measure muscle oxygenation independent from ATT, limited data are available regarding varying interventions such as arterial occlusion to counteract these influences.…”

Section: Introductionmentioning

confidence: 99%

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Possible Influences on the Interpretation of Functional Domain (FD) Near-Infrared Spectroscopy (NIRS): An Explorative Study

et al. 2015

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The influence of subcutaneous adipose tissue (ATT) and oxygen (O2) delivery has been poorly defined in frequency domain (FD) near-infrared spectroscopy (NIRS). Therefore, the aim of this study was to investigate the possible influence of these variables on all FD NIRS responses using a reliable protocol. Moreover, these influences were also investigated when using relative oxy- and deoxyhemoglobin and -myoglobin (oxy[Hb + Mb] and deoxy[Hb + Mb]) values (in %). A regression analysis was carried out for ATT and maximal-minimum oxy[Hb + Mb], deoxy[Hb + Mb], oxygen saturation (SmO2), and total hemoglobin (totHb) amplitudes during an incremental cyclic contraction protocol (ICCP) in a group of 45 participants. Moreover, the same analysis was carried out between subcutaneous ATT and the relative oxy- and deoxy[Hb + Mb] values (in %). In the second part of this study, a regression analysis was performed for peak forearm blood flow (FBF) during ICCP and the absolute and relative NIRS values in a group of 37 participants. Significant exponential correlation coefficients were found between ATT and deoxy[Hb + Mb] (r = 0.53; P < 0.001), oxy[Hb + Mb] (r = 0.57; P < 0.001), and SmO2 amplitudes (r = 0.57; P < 0.001). No significant relations were found between ATT and relative oxy[Hb + Mb] (r = 0.37; P = 0.07) and deoxy[Hb + Mb] (r = 0.09; P = 0.82). Significant positive correlation coefficients were found between force at exhaustion and maximal FBF (r = 0.66; P < 0.001), maximal differences in deoxy[Hb + Mb] (r = 0.353; P = 0.032) and totHb (r = 0.512; P = 0.002) while no significant correlation coefficients were found between these maximal force values and maximal differences in oxy[Hb + Mb] (r = -0.267; P = 0.111) and SmO2 (r = -0.267; P = 0.111). Significant linear correlation coefficients were found between FBF and deoxy[Hb + Mb] (r = 0.51; P = 0.001), oxy[Hb + Mb] (r = -0.50; P = 0.001), SmO2 (r = -0.54; P = 0.001), and totHb amplitude (r = 0.61; P < 0.001). No significant correlations were found when using relative oxy[Hb + Mb] (r = -0.01; P = 0.957) and deoxy[Hb + Mb] (r = -0.02; P = 0.895). Based on these findings, caution is advised when using NIRS values, as subcutaneous ATT and O2 delivery significantly influence NIRS measurements. To eliminate these influences, use of relative deoxy[Hb + Mb] is advised, especially in clinical settings or in people with a higher subcutaneous ATT layer.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Possible Influences on the Interpretation of Functional Domain (FD) Near-Infrared Spectroscopy (NIRS): An Explorative Study

et al. 2015

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“…Algorithms are currently being developed to account for adipose tissue thickness during SO 2 measurements with NIRS. 20 …”

Section: Discussionmentioning

confidence: 99%

In vivo measurements of regional hemoglobin oxygen saturation values and limb-to-arm ratios of near-infrared spectroscopy for tissue oxygenation monitoring of lower extremities in healthy subjects

Boezeman¹,

Kelder²,

Waanders³

et al. 2014

MDER

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ObjectiveNear-infrared spectroscopy (NIRS) is a noninvasive technique that allows monitoring of regional hemoglobin oxygen saturation (rSO2) values and might have a role in the diagnosis of peripheral arterial disease. We assessed the reproducibility and inter-subject variability of rSO2 values and rSO2 limb-to-arm ratios (LARs) in lower extremities of healthy subjects.MethodsThe rSO2 values and rSO2 LARs were calculated in eight healthy subjects without peripheral arterial disease. The rSO2 values were measured at rest at six fixed spots at each lower limb and a reference spot at each upper arm. NIRS provided the rSO2 values without involvement of any other processing technique. After measurements were completed, rSO2 LARs were calculated by dividing the rSO2 value of a lower extremity spot by the rSO2 value of the arm. Measurements were performed twice on 1 day and repeated on 4 different days.ResultsMean coefficients of variation of measurements of rSO2 values and rSO2 LARs at the same spot in the same subject were respectively less than 6% and 8% for every measurement spot over time. Coefficients of variation of measurements at the same spot between different subjects were less than 15% and 19% for every measurement spot respectively.ConclusionNIRS is an easily applicable, noninvasive tool for measurement of tissue oxygenation of lower extremities in healthy subjects. The reproducibility of rSO2 values and rSO2 LARs at the same measurement spot in the same subject is good.

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Monitoring of Foot Oxygenation with Near-infrared Spectroscopy in Patients with Critical Limb Ischemia Undergoing Percutaneous Transluminal Angioplasty: A Pilot Study

Boezeman

Becx

Heuvel

et al. 2016

European Journal of Vascular and Endovascular Surgery

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Analysis of NIRS-Based Muscle Oxygenation Parameters by Inclusion of Adipose Tissue Thickness

Cited by 10 publications

References 5 publications

Possible Influences on the Interpretation of Functional Domain (FD) Near-Infrared Spectroscopy (NIRS): An Explorative Study

Possible Influences on the Interpretation of Functional Domain (FD) Near-Infrared Spectroscopy (NIRS): An Explorative Study

In vivo measurements of regional hemoglobin oxygen saturation values and limb-to-arm ratios of near-infrared spectroscopy for tissue oxygenation monitoring of lower extremities in healthy subjects

Monitoring of Foot Oxygenation with Near-infrared Spectroscopy in Patients with Critical Limb Ischemia Undergoing Percutaneous Transluminal Angioplasty: A Pilot Study

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