Advertisement

Imaging Biomarkers and Imaging Biobanks

  • Angel Alberich-BayarriEmail author
  • Emanuele Neri
  • Luis Martí-Bonmatí
Chapter

Abstract

Several challenges exist for the adoption of advanced image analysis methods in clinical routine. Imaging biomarkers not only have to be objective and reproducible, but they also have to show a clear efficacy in the detection and diagnosis of the disease and/or in the evaluation of treatment response. This efficacy must be confirmed by a close relationship with disease hallmarks, which allows them to act as surrogate indicators of relevant clinical outcomes such as the time to treatment response, the progression-free survival, the overall survival, and others. Finally, to achieve clinical integration and to expand its utility, the methodology must be cost-efficient. In this chapter, the general methodology for the development, validation, and implementation of imaging biomarkers is presented. The approach consists of a systematic methodology that allows to achieve a high precision and accuracy in the usage of imaging biomarkers, making it feasible to integrate them in automated pipelines for the generation of massive amounts of radiomic data to be used for storage in imaging biobanks.

Keywords

Imaging biomarkers Imaging biobanks Radiomics 

References

  1. 1.
    Martí Bonmatí L, Alberich-Bayarri A, García-Martí G, Sanz Requena R, Pérez Castillo C, Carot Sierra JM, Manjón Herrera JV. Imaging biomarkers, quantitative imaging, and bioengineering. Radiologia. 2012;54:269–78.CrossRefGoogle Scholar
  2. 2.
    European Society of Radiology (ESR). ESR statement on the stepwise development of imaging biomarkers. Insights Imaging. 2013;4:147–52.CrossRefGoogle Scholar
  3. 3.
    Martí-Bonmatí L. Introduction to the stepwise development of imaging biomarkers. In: Martí-Bonmatí L, Alberich-Bayarri A, editors. Imaging biomarkers. Development and clinical integration, vol. 2; 2017. p. 27. isbn:9783319435046.Google Scholar
  4. 4.
    European Medicines Agency. Guidelines on bioanalytical methods validation. 21 July 2011. EMEA/CHMP/EWP/192217/2009 Rev. 1 Corr. 2.Google Scholar
  5. 5.
    O’Connor JP, Aboagye EO, Adams JE, et al. Consensus statement. imaging biomarkers roadmap for cancer studies. Nat Rev Clin Oncol. 2017;14(3):169–86.  https://doi.org/10.1038/nrclinonc.2016.162.CrossRefPubMedGoogle Scholar
  6. 6.
    European Society of Radiology (ESR). ESR position paper on imaging biobanks. Insights Imaging. 2015;6:403–10.CrossRefGoogle Scholar
  7. 7.
    Alberich-Bayarri A, Hernández-Navarro R, Ruiz-Martínez E, García-Castro F, García-Juan D, Martí-Bonmatí L. Development of imaging biomarkers and generation of big data. Radiol Med. 2017;122:444–8.CrossRefGoogle Scholar
  8. 8.
    Neri E, Regge D. Imaging biobanks in oncology: European perspective. Future Oncol. 2017;13:433–41.CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Angel Alberich-Bayarri
    • 1
    • 2
    Email author
  • Emanuele Neri
    • 3
  • Luis Martí-Bonmatí
    • 1
  1. 1.Biomedical Imaging Research GroupLa Fe Health Research Institute and Polytechnics and University HospitalValenciaSpain
  2. 2.Quantitative Imaging Biomarkers in Medicine (QUIBIM S.L.)ValenciaSpain
  3. 3.Diagnostic Radiology 3, Department of Translational ResearchUniversity of Pisa, Ospedale S. ChiaraPisaItaly

Personalised recommendations