CarMeN Laboratory, Université Claude Bernard Lyon 1, INSERM U1060, INRA U1397, Lyon, France.
Olea Medical, La Ciotat, France.
Lab Anim (NY). 2024 Jan;53(1):13-17. doi: 10.1038/s41684-023-01289-9. Epub 2023 Nov 23.
Non-human primate studies are unique in translational research, especially in neurosciences where neuroimaging approaches are the preferred methods used for cross-species comparative neurosciences. In this regard, neuroimaging database development and sharing are encouraged to increase the number of subjects available to the community, while limiting the number of animals used in research. Here we present a simultaneous positron emission tomography (PET)/magnetic resonance (MR) dataset of 20 Macaca fascicularis images structured according to the Brain Imaging Data Structure standards. This database contains multiple MR imaging sequences (anatomical, diffusion and perfusion imaging notably), as well as PET perfusion and inflammation imaging using respectively [O]HO and [C]PK11195 radiotracers. We describe the pipeline method to assemble baseline data from various cohorts and qualitatively assess all the data using signal-to-noise and contrast-to-noise ratios as well as the median of intensity and the pseudo-noise-equivalent-count rate (dynamic and at maximum) for PET data. Our study provides a detailed example for quality control integration in preclinical and translational PET/MR studies with the aim of increasing reproducibility. The PREMISE database is stored and available through the PRIME-DE consortium repository.
非人类灵长类动物研究在转化研究中具有独特性,特别是在神经科学中,神经影像学方法是用于跨物种比较神经科学的首选方法。在这方面,鼓励开发和共享神经影像学数据库,以增加社区可获得的研究对象数量,同时限制研究中使用的动物数量。在这里,我们根据脑成像数据结构标准呈现了 20 只猕猴的正电子发射断层扫描 (PET)/磁共振 (MR) 数据集。该数据库包含多种 MR 成像序列(特别是解剖、扩散和灌注成像),以及使用 [O]HO 和 [C]PK11195 放射性示踪剂进行的 PET 灌注和炎症成像。我们描述了从各种队列组装基线数据的流水线方法,并使用信噪比和对比噪声比以及 PET 数据的强度中位数和伪噪声等效计数率(动态和最大)对所有数据进行定性评估。我们的研究提供了一个详细的示例,说明了在临床前和转化 PET/MR 研究中整合质量控制的方法,旨在提高可重复性。PREMISE 数据库存储在 PRIME-DE 联盟存储库中并可供使用。