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Erschienen in:

10.01.2022 | Imaging Informatics and Artificial Intelligence

Bridging gaps between images and data: a systematic update on imaging biobanks

verfasst von: Michela Gabelloni, Lorenzo Faggioni, Rita Borgheresi, Giuliana Restante, Jorge Shortrede, Lorenzo Tumminello, Camilla Scapicchio, Francesca Coppola, Dania Cioni, Ignacio Gómez-Rico, Luis Martí-Bonmatí, Emanuele Neri

Erschienen in: European Radiology | Ausgabe 5/2022

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Abstract

Background and objective

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.

Methods

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.

Results

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.

Conclusions

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.

Key Points

• 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.
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Zurück zum Zitat Scapicchio C, Gabelloni M, Forte SM et al (2021) DICOM-MIABIS integration model for biobanks: a use case of the EU PRIMAGE project. Eur Radiol Exp 5:20PubMedPubMedCentralCrossRef Scapicchio C, Gabelloni M, Forte SM et al (2021) DICOM-MIABIS integration model for biobanks: a use case of the EU PRIMAGE project. Eur Radiol Exp 5:20PubMedPubMedCentralCrossRef
Metadaten
Titel
Bridging gaps between images and data: a systematic update on imaging biobanks
verfasst von
Michela Gabelloni
Lorenzo Faggioni
Rita Borgheresi
Giuliana Restante
Jorge Shortrede
Lorenzo Tumminello
Camilla Scapicchio
Francesca Coppola
Dania Cioni
Ignacio Gómez-Rico
Luis Martí-Bonmatí
Emanuele Neri
Publikationsdatum
10.01.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
European Radiology / Ausgabe 5/2022
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-021-08431-6

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