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

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

Fecha de publicación: Fecha Ahead of Print:

Autores de IIS La Fe

Participantes ajenos a IIS La Fe

  • Gabelloni, Michela
  • Faggioni, Lorenzo
  • Borgheresi, Rita
  • Restante, Giuliana
  • Shortrede, Jorge
  • Tumminello, Lorenzo
  • Scapicchio, Camilla
  • Coppola, Francesca
  • Cioni, Dania
  • Neri, Emanuele

Grupos

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.

© 2021. The Author(s), under exclusive licence to European Society of Radiology.

Datos de la publicación

ISSN/ISSNe:
0938-7994, 1432-1084

EUROPEAN RADIOLOGY  SPRINGER

Tipo:
Article
Páginas:
3173-3186
PubMed:
35001159
Factor de Impacto:
1,730 SCImago ℠
Cuartil:
Q1 SCImago ℠

Citas Recibidas en Web of Science: 6

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Keywords

  • Artificial intelligence; Biomarkers; Diagnostic imaging

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