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Design of Liver Functional Reserve Estimation Technique Based on Optical Densitometry

This work is aimed at creating a modified invasive technique for assessing the liver’s functional reserves. A study of the degree of hepatodepression is carried out by measuring the plasma elimination of indocyanine green using the method of optical densitometry. This paper presents test results for...

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Autores principales: Savchenko, Ekaterina, Kolokolnikov, Ilya, Velichko, Elena, Osovskikh, Victor, Kiseleva, Lyubov, Musakulova, Zhyldyz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460397/
https://www.ncbi.nlm.nih.gov/pubmed/32824396
http://dx.doi.org/10.3390/diagnostics10080599
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author Savchenko, Ekaterina
Kolokolnikov, Ilya
Velichko, Elena
Osovskikh, Victor
Kiseleva, Lyubov
Musakulova, Zhyldyz
author_facet Savchenko, Ekaterina
Kolokolnikov, Ilya
Velichko, Elena
Osovskikh, Victor
Kiseleva, Lyubov
Musakulova, Zhyldyz
author_sort Savchenko, Ekaterina
collection PubMed
description This work is aimed at creating a modified invasive technique for assessing the liver’s functional reserves. A study of the degree of hepatodepression is carried out by measuring the plasma elimination of indocyanine green using the method of optical densitometry. This paper presents test results for an aqueous solution and an albumin solution, as well as the results of measurements of plasma elimination of indocyanine green for patients with liver disease. Perfecting the proposed method will make an important scientific contribution to modern diagnostic medicine. Diagnosing the stages in the progression of the disease and its developing complications can make it possible to rapidly correct the patient’s treatment algorithm, achieving positive outcomes in medical practice.
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spelling pubmed-74603972020-09-02 Design of Liver Functional Reserve Estimation Technique Based on Optical Densitometry Savchenko, Ekaterina Kolokolnikov, Ilya Velichko, Elena Osovskikh, Victor Kiseleva, Lyubov Musakulova, Zhyldyz Diagnostics (Basel) Article This work is aimed at creating a modified invasive technique for assessing the liver’s functional reserves. A study of the degree of hepatodepression is carried out by measuring the plasma elimination of indocyanine green using the method of optical densitometry. This paper presents test results for an aqueous solution and an albumin solution, as well as the results of measurements of plasma elimination of indocyanine green for patients with liver disease. Perfecting the proposed method will make an important scientific contribution to modern diagnostic medicine. Diagnosing the stages in the progression of the disease and its developing complications can make it possible to rapidly correct the patient’s treatment algorithm, achieving positive outcomes in medical practice. MDPI 2020-08-16 /pmc/articles/PMC7460397/ /pubmed/32824396 http://dx.doi.org/10.3390/diagnostics10080599 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Savchenko, Ekaterina
Kolokolnikov, Ilya
Velichko, Elena
Osovskikh, Victor
Kiseleva, Lyubov
Musakulova, Zhyldyz
Design of Liver Functional Reserve Estimation Technique Based on Optical Densitometry
title Design of Liver Functional Reserve Estimation Technique Based on Optical Densitometry
title_full Design of Liver Functional Reserve Estimation Technique Based on Optical Densitometry
title_fullStr Design of Liver Functional Reserve Estimation Technique Based on Optical Densitometry
title_full_unstemmed Design of Liver Functional Reserve Estimation Technique Based on Optical Densitometry
title_short Design of Liver Functional Reserve Estimation Technique Based on Optical Densitometry
title_sort design of liver functional reserve estimation technique based on optical densitometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7460397/
https://www.ncbi.nlm.nih.gov/pubmed/32824396
http://dx.doi.org/10.3390/diagnostics10080599
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