Gabelloni Michela, Faggioni Lorenzo, Borgheresi Rita, Restante Giuliana, Shortrede Jorge, Tumminello Lorenzo, Scapicchio Camilla, Coppola Francesca, Cioni Dania, Gómez-Rico Ignacio, Martí-Bonmatí Luis, Neri Emanuele
Academic Radiology, Department of Translational Research, University of Pisa, via Roma, 67, 56126, Pisa, Italy.
Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, 40138, Bologna, Italy.
Eur Radiol. 2022 May;32(5):3173-3186. doi: 10.1007/s00330-021-08431-6. Epub 2022 Jan 10.
The systematic collection of medical images combined with imaging biomarkers and patient non-imaging data is the core concept of imaging biobanks, a key element for fuelling the development of modern precision medicine. Our purpose is to review the existing image repositories fulfilling the criteria for imaging biobanks.
Pubmed, Scopus and Web of Science were searched for articles published in English from January 2010 to July 2021 using a combination of the terms: "imaging" AND "biobanks" and "imaging" AND "repository". Moreover, the Community Research and Development Information Service (CORDIS) database ( https://cordis.europa.eu/projects ) was searched using the terms: "imaging" AND "biobanks", also including collections, projects, project deliverables, project publications and programmes.
Of 9272 articles retrieved, only 54 related to biobanks containing imaging data were finally selected, of which 33 were disease-oriented (61.1%) and 21 population-based (38.9%). Most imaging biobanks were European (26/54, 48.1%), followed by American biobanks (20/54, 37.0%). Among disease-oriented biobanks, the majority were focused on neurodegenerative (9/33, 27.3%) and oncological diseases (9/33, 27.3%). The number of patients enrolled ranged from 240 to 3,370,929, and the imaging modality most frequently involved was MRI (40/54, 74.1%), followed by CT (20/54, 37.0%), PET (13/54, 24.1%), and ultrasound (12/54, 22.2%). Most biobanks (38/54, 70.4%) were accessible under request.
Imaging biobanks can serve as a platform for collecting, sharing and analysing medical images integrated with imaging biomarkers, biological and clinical data. A relatively small proportion of current biobanks also contain images and can thus be classified as imaging biobanks.
• Imaging biobanks are a powerful tool for large-scale collection and processing of medical images integrated with imaging biomarkers and patient non-imaging data. • Most imaging biobanks retrieved were European, disease-oriented and accessible under user request. • While many biobanks have been developed so far, only a relatively small proportion of them are imaging biobanks.
将医学图像与影像生物标志物及患者非影像数据进行系统收集,是影像生物样本库的核心概念,也是推动现代精准医学发展的关键要素。我们的目的是对符合影像生物样本库标准的现有图像存储库进行综述。
在PubMed、Scopus和Web of Science数据库中检索2010年1月至2021年7月期间发表的英文文章,检索词组合为:“imaging” AND “biobanks”以及“imaging” AND “repository”。此外,在社区研究与发展信息服务(CORDIS)数据库(https://cordis.europa.eu/projects)中使用检索词:“imaging” AND “biobanks”进行检索,检索范围还包括数据集、项目、项目交付成果、项目出版物和计划。
在检索到的9272篇文章中,最终仅筛选出54篇与包含影像数据的生物样本库相关的文章,其中33篇以疾病为导向(61.1%),21篇以人群为基础(38.9%)。大多数影像生物样本库位于欧洲(26/54,48.1%),其次是美国的生物样本库(20/54,37.0%)。在以疾病为导向的生物样本库中,大多数聚焦于神经退行性疾病(9/33,27.3%)和肿瘤疾病(9/33,27.3%)。纳入的患者数量从240到3370929不等,最常涉及的成像模态是MRI(40/54,74.1%),其次是CT(20/54,37.0%),PET(13/54,24.1%)和超声(12/54,22.2%)。大多数生物样本库(38/54,70.4%)可应要求获取。
影像生物样本库可作为一个平台,用于收集、共享和分析整合了影像生物标志物、生物学和临床数据的医学图像。目前相对较小比例的生物样本库也包含图像,因此可归类为影像生物样本库。
• 影像生物样本库是大规模收集和处理整合了影像生物标志物及患者非影像数据的医学图像的有力工具。• 检索到的大多数影像生物样本库位于欧洲,以疾病为导向,可应用户要求获取。• 虽然目前已建立了许多生物样本库,但其中只有相对较小比例是影像生物样本库。