正电子作为缺氧的生物标志物

IF 1.2 Q3 Computer Science

Bio-Algorithms and Med-Systems Pub Date : 2021-12-01 DOI:10.1515/bams-2021-0189

P. Moskal, E. Stępień

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引用次数: 14

摘要

摘要在这篇综述文章中，我们提出的论点表明，高灵敏度全身PET系统的出现和正电子成像方法的发明，为正电子作为体内评估缺氧程度的生物标志物的应用开辟了现实的前景。缺氧是一种状态或状况，其中氧气的可用性不足以支持组织和器官的生理过程。正电子是一种由电子和正电子形成的亚稳态原子，在接受正电子发射断层扫描（PET）的生物体中的分子内空间中大量产生。正电子的性质，例如寿命，取决于分子内空间的大小和氧分子在其中的浓度。因此，关于组织中氧分压（pO2）的信息可以从正电子寿命测量中导出。健康组织和癌症组织之间的氧分压在10至50mmHg的范围内不同。pO2的这种差异导致邻位正电子寿命的变化，例如，在水中约2–7 ps。因此，正电子作为缺氧生物标志物的应用需要确定平均正电子寿命，分辨率约为2 ps。我们认为，这种分辨率原则上可用于全身PET系统的器官正电子成像。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Positronium as a biomarker of hypoxia

Abstract In this review article, we present arguments demonstrating that the advent of high sensitivity total-body PET systems and the invention of the method of positronium imaging, open realistic perspectives for the application of positronium as a biomarker for in-vivo assessment of the degree of hypoxia. Hypoxia is a state or condition, in which the availability of oxygen is not sufficient to support physiological processes in tissue and organs. Positronium is a metastable atom formed from electron and positron which is copiously produced in the intramolecular spaces in the living organisms undergoing positron emission tomography (PET). Properties of positronium, such as e.g., lifetime, depend on the size of intramolecular spaces and the concentration in them of oxygen molecules. Therefore, information on the partial pressure of oxygen (pO2) in the tissue may be derived from the positronium lifetime measurement. The partial pressure of oxygen differs between healthy and cancer tissues in the range from 10 to 50 mmHg. Such differences of pO2 result in the change of ortho-positronium lifetime e.g., in water by about 2–7 ps. Thus, the application of positronium as a biomarker of hypoxia requires the determination of the mean positronium lifetime with the resolution in the order of 2 ps. We argue that such resolution is in principle achievable for organ-wise positronium imaging with the total-body PET systems.

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来源期刊

Bio-Algorithms and Med-Systems MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

3.80

自引率

0.00%

发文量

期刊介绍： The journal Bio-Algorithms and Med-Systems (BAMS), edited by the Jagiellonian University Medical College, provides a forum for the exchange of information in the interdisciplinary fields of computational methods applied in medicine, presenting new algorithms and databases that allows the progress in collaborations between medicine, informatics, physics, and biochemistry. Projects linking specialists representing these disciplines are welcome to be published in this Journal. Articles in BAMS are published in English. Topics Bioinformatics Systems biology Telemedicine E-Learning in Medicine Patient''s electronic record Image processing Medical databases.