Сибирский федеральный университет

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: 23rd IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2022

Год издания: 2022

Идентификатор DOI: 10.1109/EDM55285.2022.9855162

Ключевые слова: algorithm, ex vivo perfusion, liver, metabolism, organ preservation

Аннотация: Organ transplantation is one of the most complex methods of radical treatment, which involves the temporary presence of an organ in an isolated state. Ex vivo perfusion allows for diagnostic measures: laboratory analysis, morphological examination, and hemodynamic assessment. There is also a possibility to detect changes at the metabolic level using mathematical modeling. Taking into account the above methods, an algorithm for estimating the metabolic activity of the liver under ex vivo conditions was developed, and a form was created for entering the data necessary for the analysis. The results of the program operation are saved in a separate document with a convenient division into sheets. The proposed method for assessing the activity of a liver graft was successfully tested with the using ex vivo liver perfusion experimental data. The test results include the results of statistical analysis and flow modeling. This algorithm allows one to identify the relationship between the indicators, to determine changes in the levels of markers and to make decisions about their significance. It unifies the actions of researchers during the ex vivo perfusion of an organ. Being a decision support system, the algorithm can simplify, speed up and make the work of researchers and doctors more efficient. © 2022 IEEE.

Журнал: International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM

Выпуск журнала: Vol. 2022-June

Номера страниц: 481-485

ISSN журнала: 23254173

Издатель: IEEE Computer Society

• Shadrin K.V. (V.F. Voino-Yasenetsky Krasnoyarsk State Medical University (KrasGMU), Krasnoyarsk, Russian Federation)
• Pakhomova V.G. (Federal Research Center, 'Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences' (KSC Sb RAS), Krasnoyarsk, Russian Federation)
• Yakovleva Y.A. (Siberian Federal University (SFU), Federal Research Center, 'Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences' (KSC Sb RAS), Krasnoyarsk, Russian Federation)
• Kryukova O.V. (Federal Research Center, 'Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences' (KSC Sb RAS), Krasnoyarsk, Russian Federation)
• Rupenko A.P. (Federal Research Center, 'Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences' (KSC Sb RAS), Krasnoyarsk, Russian Federation)

• Scopus