DOCK–PET: database of CNS kinetic parameters in the healthy human brain for existing PET tracers

IF 2.5 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Annals of Nuclear Medicine Pub Date : 2024-05-30 DOI:10.1007/s12149-024-01947-z
Itsuki Miyajima, Ayano Yoshikawa, Kyosei Sahashi, Chie Seki, Yuji Nagai, Hiroshi Watabe, Miho Shidahara
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Abstract

Purpose

Information about developed positron emission tomography (PET) tracers and obtained clinical PET images is publicly available in a database. However, findings regarding the kinetic parameters of PET tracers are yet to be summarized. Therefore, in this study, we created an open-access database of central nervous system (CNS) kinetic parameters in the healthy human brain for existing PET tracers (DOCK–PET).

Methods

Our database includes information on the kinetic parameters and compounds of existing CNS–PET tracers. The kinetic parameter dataset comprises the analysis methods, VT, BPND, K parameters, relevant literature, and study details. The list of PET tracers and kinetic parameter information was compiled through keyword-based searches of PubMed and the Molecular Imaging and Contrast Agent Database (MICAD). The kinetic parameters obtained, including VT, BPND, and K parameters, were reorganized based on the defined brain anatomical regions. All data were rigorously double-checked before being summarized in Microsoft Excel and JavaScript Object Notation (JSON) formats.

Results

Of the 247 PET tracers identified through searches using the PubMed and MICAD websites, the kinetic parameters of 120 PET tracers were available. Among the 120 PET tracers, compound structures with chemical and physical properties were obtained from the PubChem website or the ChemDraw software. Furthermore, the affinity information of the 104 PET tracers was gathered from PubChem or extensive literature surveys of the 120 PET tracers.

Conclusions

We developed a comprehensive open-access database, DOCK–PET, that includes both kinetic parameters of healthy humans and compound information for existing CNS–PET tracers.

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DOCK-PET:现有 PET 示踪剂在健康人脑中的中枢神经系统动力学参数数据库。
目的:有关已开发的正电子发射断层扫描(PET)示踪剂和已获得的临床 PET 图像的信息可在数据库中公开获取。然而,有关 PET 示踪剂动力学参数的研究结果尚待总结。因此,在这项研究中,我们为现有的 PET 示踪剂创建了一个开放存取的健康人脑中枢神经系统(CNS)动力学参数数据库(DOCK-PET):我们的数据库包括现有 CNS-PET 示踪剂的动力学参数和化合物信息。动力学参数数据集包括分析方法、VT、BPND、K 参数、相关文献和研究细节。PET 示踪剂清单和动力学参数信息是通过对 PubMed 和分子成像与造影剂数据库(MICAD)进行关键字检索编制的。所获得的动力学参数(包括 VT、BPND 和 K 参数)根据定义的大脑解剖区域进行了重组。所有数据在以 Microsoft Excel 和 JavaScript Object Notation (JSON) 格式汇总之前都经过了严格的双重检查:通过使用 PubMed 和 MICAD 网站进行搜索,确定了 247 种 PET 示踪剂,其中 120 种 PET 示踪剂的动力学参数可用。在这 120 种 PET 示踪剂中,我们从 PubChem 网站或 ChemDraw 软件中获得了具有化学和物理特性的化合物结构。此外,104 种 PET 示踪剂的亲和力信息来自 PubChem 或 120 种 PET 示踪剂的大量文献调查:我们开发了一个全面的开放式数据库 DOCK-PET,其中包括健康人的动力学参数和现有中枢神经系统 PET 示踪剂的化合物信息。
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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来源期刊
Annals of Nuclear Medicine
Annals of Nuclear Medicine 医学-核医学
CiteScore
4.90
自引率
7.70%
发文量
111
审稿时长
4-8 weeks
期刊介绍: Annals of Nuclear Medicine is an official journal of the Japanese Society of Nuclear Medicine. It develops the appropriate application of radioactive substances and stable nuclides in the field of medicine. The journal promotes the exchange of ideas and information and research in nuclear medicine and includes the medical application of radionuclides and related subjects. It presents original articles, short communications, reviews and letters to the editor.
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