Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research.

IF 4.1 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Insights into Imaging Pub Date : 2024-11-15 DOI:10.1186/s13244-024-01848-9
Ziyan Chen, Abraham Ayodeji Adegboro, Lan Gu, Xuejun Li
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Abstract

Over the past decades, numerous large-scale neuroimaging projects that involved the collection and release of multimodal data have been conducted globally. Distinguished initiatives such as the Human Connectome Project, UK Biobank, and Alzheimer's Disease Neuroimaging Initiative, among others, stand as remarkable international collaborations that have significantly advanced our understanding of the brain. With the advancement of big data technology, changes in healthcare models, and continuous development in biomedical research, various types of large-scale projects are being established and promoted worldwide. For project leaders, there is a need to refer to common principles in project construction and management. Users must also adhere strictly to rules and guidelines, ensuring data safety and privacy protection. Organizations must maintain data integrity, protect individual privacy, and foster stakeholders' trust. Regular updates to legislation and policies are necessary to keep pace with evolving technologies and emerging data-related challenges. CRITICAL RELEVANCE STATEMENT: By reviewing global large-scale neuroimaging projects, we have summarized the standards and norms for establishing and utilizing their data, and provided suggestions and opinions on some ethical issues, aiming to promote higher-quality neuroimaging data development. KEY POINTS: Global neuroimaging projects are increasingly advancing but still face challenges. Constructing and utilizing neuroimaging projects should follow set rules and guidelines. Effective data management and governance should be developed to support neuroimaging projects.

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构建和探索神经成像项目:从临床实践到科学研究的调查。
过去几十年来,全球开展了许多大规模的神经成像项目,涉及多模态数据的收集和发布。人类连接组计划、英国生物库和阿尔茨海默病神经成像计划等杰出的国际合作项目极大地推动了我们对大脑的了解。随着大数据技术的进步、医疗模式的变革以及生物医学研究的不断发展,各种类型的大型项目正在全球范围内建立和推广。对于项目负责人来说,在项目建设和管理中需要参考通用原则。用户也必须严格遵守相关规定和准则,确保数据安全和隐私保护。各组织必须保持数据的完整性,保护个人隐私,增进利益相关者的信任。有必要定期更新立法和政策,以跟上不断发展的技术和新出现的数据相关挑战。关键相关性声明:通过对全球大型神经影像项目的回顾,我们总结了建立和利用其数据的标准和规范,并就一些伦理问题提出了建议和意见,旨在促进更高质量的神经影像数据开发。要点:全球神经影像项目日益进步,但仍面临挑战。神经影像项目的建设和利用应遵循既定的规则和准则。应制定有效的数据管理和治理方法,为神经影像项目提供支持。
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来源期刊
Insights into Imaging
Insights into Imaging Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
7.30
自引率
4.30%
发文量
182
审稿时长
13 weeks
期刊介绍: Insights into Imaging (I³) is a peer-reviewed open access journal published under the brand SpringerOpen. All content published in the journal is freely available online to anyone, anywhere! I³ continuously updates scientific knowledge and progress in best-practice standards in radiology through the publication of original articles and state-of-the-art reviews and opinions, along with recommendations and statements from the leading radiological societies in Europe. Founded by the European Society of Radiology (ESR), I³ creates a platform for educational material, guidelines and recommendations, and a forum for topics of controversy. A balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes I³ an indispensable source for current information in this field. I³ is owned by the ESR, however authors retain copyright to their article according to the Creative Commons Attribution License (see Copyright and License Agreement). All articles can be read, redistributed and reused for free, as long as the author of the original work is cited properly. The open access fees (article-processing charges) for this journal are kindly sponsored by ESR for all Members. The journal went open access in 2012, which means that all articles published since then are freely available online.
期刊最新文献
Percutaneous cryoablation in soft tissue tumor management: an educational review. Computed tomography enterography-based deep learning radiomics to predict stratified healing in patients with Crohn's disease: a multicenter study. Constructing and exploring neuroimaging projects: a survey from clinical practice to scientific research. Estimated diagnostic performance of prostate MRI performed with clinical suspicion of prostate cancer. Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma.
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