Current status of imaging biobanks: limits and challenges

Congress:

ECR 2020

Poster Number:

C-13591

Type:

Educational Exhibit

Keywords:

Hybrid, Molecular and Translational Imaging, Management, CT, MR, PET, Education, Ethics, Technology assessment, Education and training, Not applicable

Authors:

G. Restante, S. M. Forte, S. Attanasio, M. Gabelloni, E. Neri; Pisa/IT

DOI:

10.26044/ecr2020/C-13591

DOI-Link:

https://dx.doi.org/10.26044/ecr2020/C-13591

Fig. 1: New vision of the biobank

Fig. 2: Type of data for patient and disease characterization

Fig. 3: Challenges in the biobanking activities

Fig. 4: Models for informed consent

Learning objectives

·To provide information on theevolution of the traditional biobank ·To describe the structure and composition of existing imaging biobanks, focusing on technical, ethical and legal issues

Background

Traditionally, a biobank is a repository of biologic samples and associated data (1). Since healthcare research heavily relies on the statistical significance, sample size is a critical aspect and the biobanks should facilitate the share of data into the scientific community (2). The excellent results in the “omics” area and in the big data analysis have contributed to excellent progress of personalized medicine with the result that over the last years there was also a revolutionary development of the traditional concept of biobanks (3). With...

Findings and procedure details

This review uses PubMed database, Pan-European BBMRI directory and biobank’s web sites as main sources of data. Modelsused to collect, to organizeand to secure the data into the biobankswere investigated. Among 609 biobanks available on BBMRI, 5 biobanks collecting medical images were found, but the type or format of imaging data are not specified. Theyinclude also biological materials, but only 4 contain metadata associated to images. Among the 3 biobanks containing medical records, 2 include also physiological/biochemical measurements. The data format is defined as the...

Conclusion

The proposed model of imaging biobank could represent a new paradigm in the routine clinical practice. Nevertheless, the reality is that the digitalisation of clinical services across healthcare systems has been a slow process requiring massive investments and implying transformations in the clinical workflows and procedures. The establishment of biobanks database have strengthen standardized management of data access. The lack of integration with heterogeneous follow-up data poses an obstacle to the efficient utilization in clinical practice. Moreover standardization procedures and sharing of the data require...

Personal information and conflict of interest

G. Restante; Pisa/IT - nothing to disclose S. M. Forte; Pisa/IT - nothing to disclose S. Attanasio; Pisa/IT - nothing to disclose M. Gabelloni; Pisa/IT - nothing to disclose E. Neri; Pisa/IT - nothing to disclose This work was supported by H2020 PRIMAGE Project

References

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