Hybrid assessment method of hydrodynamics and metabolism with digital biopsy using artificial intelligence for liver machine perfusion

Hybrid assessment method of hydrodynamics and metabolism with digital biopsy using artificial intelligence for liver machine perfusion
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利用人工智能进行肝机灌注的流体动力学和代谢与数字活检的混合评估方法

DOI:
10.11378/organbio.28.142
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发表时间:
2021
期刊:
Organ Biology
影响因子:
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通讯作者:
松野 直徒
松野 直徒
中科院分区:
--
文献类型:
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作者:
小原 弘道;二方 幹弥;佐藤 優樹;中條 哲也;暮地本 宙己;絵野沢 伸;李 小康;松野 直徒

文献摘要

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机器灌注移植技术是保存心脏性死亡(DCD)后捐献器官的一种很有前途的策略。在移植前的机器灌注期间,可以提供几个改善和评估移植物存活力的机会。本文介绍了机器灌注技术的概况和几种肝脏机器灌注的评价方法。此外,创新的肝脏活力评估方法,使用成像测量定义为“数字活检”,介绍了移植前机器灌注期间预测移植物的活力。在本研究中,在常温条件下,在机器灌注期间测量吲哚菁绿色荧光图像。提出了利用人工智能对这些图像进行分析以评价肝功能的方法。
A machine perfusion technology for transplantation is a promising strategy to preserve organs donated after cardiac death (DCD). Several opportunities to improve and assess the graft viability can be provided during the machine perfusion prior to transplantation. This review introduces an overview of the machine perfusion technology and several assessment methods for liver machine perfusion. Furthermore, innovative liver viability assessment method using imaging measurements defined as “digital biopsy” are introduced to predict graft viability during machine perfusion prior to transplantation. In this study, indocyanine green fluoroscopy image was measured during machine perfusion under normothermic condition. Analysis technique for these images using artificial intelligence to evaluate liver function are proposed.