Skip to main content

Quo Vadis: An Epilog

  • Chapter
  • First Online:
Medical Imaging Contrast Agents: A Clinical Manual

Abstract

Contrast agents themselves and their use in medical imaging evolve very rapidly. Applications such as perfusion imaging make contrast agents critical elements of medical imaging. Tissue-specific contrast agents such as hepatocyte-specific MR contrast agent Gd-EOB-DTPA are smart molecules and will become commonplace in the near future. Artificial intelligence will make it possible to collect more detailed and sophisticated data using reduced amounts of contrast agents.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Lohrke J, Frenzel T, Endrikat J, et al. 25 years of contrast-enhanced MRI: developments, current challenges and future perspectives. Adv Ther. 2016;33(1):1–28.

    Article  Google Scholar 

  2. Covington MF, Pizzitola VJ, Lorans R, et al. The future of contrast-enhanced mammography. Am J Roentgenol. 2018;210(2):292–300.

    Article  Google Scholar 

  3. Faggioni L, Gabelloni M. Iodine concentration and optimization in computed tomography angiography: current issues. Invest Radiol. 2016;51(12):816–22.

    Article  CAS  Google Scholar 

  4. Kekelidze M, Dwarkasing RS, Dijkshoorn ML, et al. Kidney and urinary tract imaging: triple-bolus multidetector CT urography as a one-stop shop—protocol design, opacification, and image quality analysis. Radiology. 2010;255(2):508–16.

    Article  Google Scholar 

  5. Young VE, Degnan AJ, Gillard JH. Advances in contrast media for vascular imaging of atherosclerosis. Imaging Med. 2011;3(3):353.

    Article  Google Scholar 

  6. Ahn S, Jung SY, Lee SJ. Gold nanoparticle contrast agents in advanced X-ray imaging technologies. Molecules. 2013;18(5):5858–90.

    Article  Google Scholar 

  7. Khairnar S, More N, Mounika C, Kapusetti G. Advances in contrast agents for contrast-enhanced magnetic resonance imaging. J Med Imaging Radiat Sci. 2019;50(4):575–89.

    Article  Google Scholar 

  8. Koç MM, Aslan N, Kao AP, Barber AH. Evaluation of X-ray tomography contrast agents: a review of production, protocols, and biological applications. Microsc Res Tech. 2019;82(6):812–48.

    Article  Google Scholar 

  9. Stride E, Segers T, Lajoinie G, et al. Microbubble agents: new directions. Ultrasound Med Biol. 2020;46(6):1326–43.

    Article  Google Scholar 

  10. Caschera L, Lazzara A, Piergallini L, et al. Contrast agents in diagnostic imaging: present and future. Pharmacol Res. 2016;110:65–75.

    Article  CAS  Google Scholar 

  11. Pedersoli F, Bruners P, Kuhl C, Schmitz-Rode T. Current CO2 angiography. Radiologe. 2019;59(6):533–40.

    Article  CAS  Google Scholar 

  12. Gong E, Pauly JM, Wintermark M, Zaharchuk G. Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI. J Magn Reson Imaging. 2018;48(2):330–40.

    Article  Google Scholar 

  13. Liu F, Jang H, Kijowski R, Bradshaw T, McMillan AB. Deep learning MR imaging–based attenuation correction for PET/MR imaging. Radiology. 2017;286(2):676–84.

    Article  Google Scholar 

  14. Nakao T, Hanaoka S, Nomura Y, et al. Deep neural network-based computer-assisted detection of cerebral aneurysms in MR angiography. J Magn Reson Imaging. 2018;47(4):948–53.

    Article  Google Scholar 

  15. Zaharchuk G, Gong E, Wintermark M, Rubin D, Langlotz C. Deep learning in neuroradiology. Am J Neuroradiol. 2018;39(10):1776–84.

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ros, P.R., Inan, I., Erturk, S.M. (2021). Quo Vadis: An Epilog. In: Erturk, S.M., Ros, P.R., Ichikawa, T., Saylisoy, S. (eds) Medical Imaging Contrast Agents: A Clinical Manual. Springer, Cham. https://doi.org/10.1007/978-3-030-79256-5_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-79256-5_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79255-8

  • Online ISBN: 978-3-030-79256-5

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics