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Proceedings Paper

Novel hybrid technology for early diagnostics of sepsis
Author(s): Inga Saknite; Andris Grabovskis; Sigita Kazune; Uldis Rubins; Zbignevs Marcinkevics; Karina Volceka; Edgars Kviesis-Kipge; Janis Spigulis
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Paper Abstract

Sepsis is a potentially fatal disease with mortality rate as high as 50% in patients with septic shock; mortality rate can increase by 7.6% per hour if appropriate treatment is not started. Internationally accepted guidelines for diagnosis of sepsis rely on vital sign monitoring and laboratory tests in order to recognize organ failure. This pilot study aims to explore the potential of hyperspectral and thermal imaging techniques to identify and quantify early alterations in skin oxygenation and perfusion induced by sepsis. The study comprises both physiological model experiments on healthy volunteers in a laboratory environment, as well as screening case series of patients with septic shock in the intensive care department. Hyperspectral imaging is used to determine one of the main characteristic visual signs of skin oxygenation abnormalities - skin mottling, whereas changes in peripheral perfusion have been visualized by thermal imaging as heterogeneous skin temperature areas. In order to mimic septic skin mottling in a reproducible way in laboratory environment, arterial occlusion provocation test was utilized on healthy volunteers. Visualization of oxygen saturation by hyperspectral imaging allows diagnosing microcirculatory alterations induced by sepsis earlier than visual assessment of mottling. Thermal images of sepsis patients in the clinic clearly reveal hotspots produced by perforating arteries, as well as cold regions of low blood supply. The results of this pilot study show that thermal imaging in combination with hyperspectral imaging allows the determination of oxygen supply and utilization in critically ill septic patients.

Paper Details

Date Published: 15 February 2017
PDF: 10 pages
Proc. SPIE 10057, Multimodal Biomedical Imaging XII, 100570F (15 February 2017); doi: 10.1117/12.2253597
Show Author Affiliations
Inga Saknite, Univ. of Latvia (Latvia)
Andris Grabovskis, Univ. of Latvia (Latvia)
Sigita Kazune, Univ. of Latvia (Latvia)
Uldis Rubins, Univ. of Latvia (Latvia)
Zbignevs Marcinkevics, Univ. of Latvia (Latvia)
Karina Volceka, Univ of Latvia (Latvia)
Edgars Kviesis-Kipge, Univ. of Latvia (Latvia)
Janis Spigulis, Univ. of Latvia (Latvia)

Published in SPIE Proceedings Vol. 10057:
Multimodal Biomedical Imaging XII
Fred S. Azar; Xavier Intes, Editor(s)

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