Suppr超能文献

用于新冠病毒灭活的放射性药物的临床前研究:蒙特卡罗模拟的剂量分布。

Pre-clinic study of radiopharmaceutical for Covid-19 inactivation: Dose distribution with Monte Carlo Simulation.

机构信息

Vocational School of Health Services, Marmara University, Kartal, Istanbul, Turkey; Radiation Laboratory, University of Notre Dame, Notre Dame, IN, 46556-5670, USA.

Suleyman Demirel University, Vocational School of Health Services, Medical Imaging Department, Isparta, Turkey; Suleyman Demirel University Research and Practice Hospital, Department of Radiology Quality and Radiation Protection, Isparta, Turkey.

出版信息

Appl Radiat Isot. 2022 Oct;188:110364. doi: 10.1016/j.apradiso.2022.110364. Epub 2022 Jul 8.

Abstract

Monte Carlo simulation method and Nuclear Medicine MIRD method were used to evaluate the effect of radiopharmaceuticals on Covid-19 disease. The mean absorbed organ dose in the target organ and gamma radiation emitter attenuation properties such as linear attenuation coefficients, energy absorption build-up factors (EABF), exposure build-up factors (EBF), and relative dose distributions (RDD) were examined. The results showed that radiopharmaceuticals containing gamma radiation emitters which are densely ionizing charged particles induced membrane damage and produced protein damage.

摘要

采用蒙特卡罗模拟方法和核医学 MIRD 方法评估放射性药物对新冠病毒疾病的治疗效果。考察了靶器官的平均吸收器官剂量和γ射线发射体的衰减特性,如线性衰减系数、能量吸收积累因子(EABF)、照射积累因子(EBF)和相对剂量分布(RDD)。结果表明,含有γ射线发射体的放射性药物会诱导膜损伤,并产生蛋白质损伤,γ射线发射体是具有密致电离能力的带电荷粒子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb24/9263601/7bb79bea85fd/gr1_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验