Literature DB >> 16192991

Measurement of cerebral oxidative metabolism with near-infrared spectroscopy: a validation study.

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

Abstract

Predicting the onset of secondary energy failure after a hypoxic-ischemic insult in newborns is critical for providing effective treatment. Measuring reductions in the cerebral metabolic rate of oxygen (CMRO(2)) may be one method for early detection, as hypoxia-ischemia is believed to impair oxidative metabolism. We have developed a near-infrared spectroscopy (NIRS) technique based on the Fick Principle for measuring CMRO(2). This technique combines cerebral blood flow (CBF) measurements obtained using the tracer indocyanine green with measurements of the cerebral deoxy-hemoglobin (Hb) concentration. In this study, NIRS measurements of CMRO(2) were compared with CMRO(2) determined from the product of CBF and the cerebral arteriovenous difference in oxygen measured from blood samples. The blood samples were collected from a peripheral artery and the sagittal sinus. Eight piglets were subjected to five cerebral metabolic states created by varying the plane of anesthesia. No significant difference was found between CMRO(2) measurements obtained with the two techniques at any anesthetic level (P>0.5). Furthermore, there was a strong correlation when concomitant CMRO(2) values from the two techniques were compared (R(2)=0.88, P<0.001). This work showed that CMRO(2) can be determined accurately by combining NIRS measurements of CBF and Hb. Since NIRS is safe and measurements can be obtained at the bedside, it is believed that this technique could assist in the early diagnosis of cerebral energy dysfunction after hypoxia-ischemia.

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Year:  2006        PMID: 16192991     DOI: 10.1038/sj.jcbfm.9600230

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  7 in total

1.  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

2.  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

3.  Monitoring angiogenesis using a human compatible calibration for broadband near-infrared spectroscopy.

Authors:  Runze Yang; Qiong Zhang; Ying Wu; Jeff F Dunn
Journal:  J Biomed Opt       Date:  2013-01       Impact factor: 3.170

4.  Development of a combined broadband near-infrared and diffusion correlation system for monitoring cerebral blood flow and oxidative metabolism in preterm infants.

Authors:  Mamadou Diop; Jessica Kishimoto; Vladislav Toronov; David S C Lee; Keith St Lawrence
Journal:  Biomed Opt Express       Date:  2015-09-10       Impact factor: 3.732

5.  Coupling of cerebral blood flow and oxygen consumption during hypothermia in newborn piglets as measured by time-resolved near-infrared spectroscopy: a pilot study.

Authors:  Mohammad Fazel Bakhsheshi; Mamadou Diop; Laura B Morrison; Keith St Lawrence; Ting-Yim Lee
Journal:  Neurophotonics       Date:  2015-09-21       Impact factor: 3.593

6.  Intraoperative Detection of Micrometastases in Whole Excised Lymph Nodes Using Fluorescent Paired-Agent Imaging Principles: Identification of a Suitable Staining and Rinsing Protocol.

Authors:  Chengyue Li; Veronica C Torres; Yusheng He; Xiaochun Xu; Yusairah Basheer; Georgia Papavasiliou; Kimberley S Samkoe; Jovan G Brankov; Kenneth M Tichauer
Journal:  Mol Imaging Biol       Date:  2021-02-16       Impact factor: 3.488

7.  Development, optimization, and validation of novel anti-TEM1/CD248 affinity agent for optical imaging in cancer.

Authors:  Chunsheng Li; Junying Wang; Jia Hu; Yi Feng; Kosei Hasegawa; Xiaohui Peng; Xingmei Duan; Aizhi Zhao; John L Mikitsh; Vladimir R Muzykantov; Ann-Marie Chacko; Daniel A Pryma; Steven M Dunn; George Coukos
Journal:  Oncotarget       Date:  2014-08-30
  7 in total

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