Department of Quantum Science and Energy Engineering, Graduate School of Engineering, Tohoku University, Sendai, Japan.
Advanced Neuroimaging Center, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan.
Ann Nucl Med. 2024 Aug;38(8):666-672. doi: 10.1007/s12149-024-01947-z. Epub 2024 May 30.
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).
Our database includes information on the kinetic parameters and compounds of existing CNS-PET tracers. The kinetic parameter dataset comprises the analysis methods, V, BP, 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 V, BP 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.
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.
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.
已开发的正电子发射断层扫描（PET）示踪剂的信息和获得的临床 PET 图像可在数据库中公开获取。然而，关于 PET 示踪剂的动力学参数的发现尚未得到总结。因此，在这项研究中，我们为现有的中枢神经系统（CNS）PET 示踪剂创建了一个开放获取的健康人脑动力学参数数据库（DOCK-PET）。
我们的数据库包含了现有的 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、V、BP、K 参数、相关文献和研究细节。通过在 PubMed 和分子成像和对比剂数据库（MICAD）中进行基于关键字的搜索，编译了 PET 示踪剂和动力学参数信息列表。根据定义的大脑解剖区域，重新组织了获得的动力学参数，包括 V、BP 和 K 参数。在将所有数据总结为 Microsoft Excel 和 JavaScript 对象表示法（JSON）格式之前，对其进行了严格的双重检查。
通过使用 PubMed 和 MICAD 网站进行搜索，共确定了 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，从 PubChem 网站或 ChemDraw 软件中获取了化合物结构的化学和物理性质。此外，从 PubChem 或对 120 种 PET 示踪剂的广泛文献调查中收集了 104 种 PET 示踪剂的亲和力信息。
我们开发了一个全面的开放获取数据库 DOCK-PET，其中包括健康人类的动力学参数和现有 CNS-PET 示踪剂的化合物信息。
