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Proceedings Paper

Multivariate calibration modeling of liver oxygen saturation using near-infrared spectroscopy
Author(s): Ndumiso A. Cingo; Babs R. Soller; Juan Carlos Puyana
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Paper Abstract

The liver has been identified as an ideal site to spectroscopically monitor for changes in oxygen saturation during liver transplantation and shock because it is susceptible to reduced blood flow and oxygen transport. Near-IR spectroscopy, combined with multivariate calibration techniques, has been shown to be a viable technique for monitoring oxygen saturation changes in various organs in a minimally invasive manner. The liver has a dual system circulation. Blood enters the liver through the portal vein and hepatic artery, and leaves through the hepatic vein. Therefore, it is of utmost importance to determine how the liver NIR spectroscopic information correlates with the different regions of the hepatic lobule as the dual circulation flows from the presinusoidal space into the post sinusoidal region of the central vein. For NIR spectroscopic information to reliably represent the status of liver oxygenation, the NIR oxygen saturation should best correlate with the post-sinusoidal region. In a series of six pigs undergoing induced hemorrhagic chock, NIR spectra collected from the liver were used together with oxygen saturation reference data from the hepatic and portal veins, and an average of the two to build partial least-squares regression models. Results obtained from these models show that the hepatic vein and an average of the hepatic and portal veins provide information that is best correlate with NIR spectral information, while the portal vein reference measurement provides poorer correlation and accuracy. These results indicate that NIR determination of oxygen saturation in the liver can provide an assessment of liver oxygen utilization.

Paper Details

Date Published: 3 May 2000
PDF: 7 pages
Proc. SPIE 3911, Biomedical Diagnostic, Guidance, and Surgical-Assist Systems II, (3 May 2000); doi: 10.1117/12.384907
Show Author Affiliations
Ndumiso A. Cingo, Univ. of Massachusetts Medical School (United States)
Babs R. Soller, Univ. of Massachusetts Medical School (United States)
Juan Carlos Puyana, Brigham and Women's Hospital (United States)


Published in SPIE Proceedings Vol. 3911:
Biomedical Diagnostic, Guidance, and Surgical-Assist Systems II
Tuan Vo-Dinh; Warren S. Grundfest; David A. Benaron, Editor(s)

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