Literature DB >> 20616228

Using near-infrared spectroscopy to measure cerebral metabolic rate of oxygen under multiple levels of arterial oxygenation in piglets.

Kenneth M Tichauer1, Jonathan T Elliott, Jennifer A Hadway, David S Lee, Ting-Yim Lee, Keith St Lawrence.   

Abstract

Improving neurological care of neonates has been impeded by the absence of suitable techniques for measuring cerebral hemodynamics and energy metabolism at the bedside. Currently, near-infrared spectroscopy (NIRS) appears to be the technology best suited to fill this gap, and techniques have been proposed to measure both cerebral blood flow (CBF) and cerebral metabolic rate of oxygen (CMRO2). We have developed a fast and reliable bolus-tracking method of determining CMRO2 that combines measurements of CBF and cerebral venous oxygenation [venous oxygen saturation (CSvO2)]. However, this method has never been validated at different levels of arterial oxygenation [arterial oxygen saturation (SaO2)], which can be highly variable in the clinical setting. In this study, NIRS measurements of CBF, CSvO2, and CMRO2 were obtained over a range of SaO2 in newborn piglets (n=12); CSvO2 values measured directly from sagittal sinus blood samples were collected for validation. Two alternative NIRS methods that measure CSvO2 by manipulating venous oxygenation (i.e., head tilt and partial venous occlusion methods) were also employed for comparison. Statistically significant correlations were found between each NIRS technique and sagittal sinus blood oxygenation (P<0.05). Correlation slopes were 1.03 (r=0.91), 0.73 (r=0.73), and 0.73 (r=0.81) for the bolus-tracking, head tilt, and partial venous occlusion methods, respectively. The bolus-tracking technique displayed the best correlation under hyperoxic (SaO2=99.9±0.03%) and normoxic (SaO2=86.9±6.6%) conditions and was comparable to the other techniques under hypoxic conditions (SaO2=40.7±9.9%). The reduced precision of the bolus-tracking method under hypoxia was attributed to errors in CSvO2 measurement that were magnified at low SaO2 levels. In conclusion, the bolus-tracking technique of measuring CSvO2, and therefore CMRO2, is accurate and robust for an SaO2>50% but provides reduced accuracy under more severe hypoxic levels.

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Year:  2010        PMID: 20616228     DOI: 10.1152/japplphysiol.01432.2009

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  11 in total

1.  The oxygen paradox of neurovascular coupling.

Authors:  Christoph Leithner; Georg Royl
Journal:  J Cereb Blood Flow Metab       Date:  2013-10-23       Impact factor: 6.200

2.  Evaluation of hyperspectral NIRS for quantitative measurements of tissue oxygen saturation by comparison to time-resolved NIRS.

Authors:  Matthew Kewin; Ajay Rajaram; Daniel Milej; Androu Abdalmalak; Laura Morrison; Mamadou Diop; Keith St Lawrence
Journal:  Biomed Opt Express       Date:  2019-08-23       Impact factor: 3.732

3.  Quantitative assessment of global cerebral metabolic rate of oxygen (CMRO2) in neonates using MRI.

Authors:  Peiying Liu; Hao Huang; Nancy Rollins; Lina F Chalak; Tina Jeon; Cathy Halovanic; Hanzhang Lu
Journal:  NMR Biomed       Date:  2014-01-07       Impact factor: 4.044

4.  Test-retest reproducibility of a rapid method to measure brain oxygen metabolism.

Authors:  Peiying Liu; Feng Xu; Hanzhang Lu
Journal:  Magn Reson Med       Date:  2012-04-19       Impact factor: 4.668

5.  Assessing the relationship between the cerebral metabolic rate of oxygen and the oxidation state of cytochrome-c-oxidase.

Authors:  Daniel Milej; Ajay Rajaram; Marianne Suwalski; Laura B Morrison; Leena N Shoemaker; Keith St Lawrence
Journal:  Neurophotonics       Date:  2022-07-20       Impact factor: 4.212

6.  Computational modelling of the piglet brain to simulate near-infrared spectroscopy and magnetic resonance spectroscopy data collected during oxygen deprivation.

Authors:  Tracy Moroz; Murad Banaji; Nicola J Robertson; Chris E Cooper; Ilias Tachtsidis
Journal:  J R Soc Interface       Date:  2012-01-25       Impact factor: 4.118

7.  BrainSignals Revisited: Simplifying a Computational Model of Cerebral Physiology.

Authors:  Matthew Caldwell; Tharindi Hapuarachchi; David Highton; Clare Elwell; Martin Smith; Ilias Tachtsidis
Journal:  PLoS One       Date:  2015-05-11       Impact factor: 3.240

8.  Broadband NIRS Cerebral Cytochrome-C-Oxidase Response to Anoxia Before and After Hypoxic-Ischaemic Injury in Piglets.

Authors:  Gemma Bale; Ajay Rajaram; Matthew Kewin; Laura Morrison; Alan Bainbridge; Mamadou Diop; Keith St Lawrence; Ilias Tachtsidis
Journal:  Adv Exp Med Biol       Date:  2018       Impact factor: 2.622

9.  Direct assessment of extracerebral signal contamination on optical measurements of cerebral blood flow, oxygenation, and metabolism.

Authors:  Daniel Milej; Androu Abdalmalak; Ajay Rajaram; Keith St Lawrence
Journal:  Neurophotonics       Date:  2020-10-07       Impact factor: 3.593

10.  Simultaneous monitoring of cerebral perfusion and cytochrome c oxidase by combining broadband near-infrared spectroscopy and diffuse correlation spectroscopy.

Authors:  Ajay Rajaram; Gemma Bale; Matthew Kewin; Laura B Morrison; Ilias Tachtsidis; Keith St Lawrence; Mamadou Diop
Journal:  Biomed Opt Express       Date:  2018-05-10       Impact factor: 3.732

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