Skip to main content
Log in

Dynamic susceptibility MR perfusion imaging of the brain: not a question of contrast agent molarity

  • Diagnostic Neuroradiology
  • Published:
Neuroradiology Aims and scope Submit manuscript

Abstract

Purpose

Dynamic susceptibility contrast (DSC) perfusion-weighted MR imaging (PWI) is increasingly used in clinical neuroimaging for a range of conditions. More highly concentrated GBCAs (e.g., gadobutrol) are often preferred for DSC imaging because it is thought that more Gd is present in the volume of interest during first pass for a given equivalent injection rate. However, faster injection of a less viscous GBCA (e.g., gadoteridol) might generate a more compact and narrower contrast bolus thus obviating any perceived benefit of higher Gd concentration. This preliminary study aimed to analyze and compare DSC examinations in the healthy brain hemisphere of patients with brain tumors using gadobutrol and gadoteridol administered at injection rates of 4 and 6 mL/s.

Methods

Thirty-nine brain tumor patients studied with DSC-PWI were evaluated. A simplified gamma-variate model function was applied to calculate the mean peak, area under the curve (AUC), and full-width at half-maximum (FHWM) of concentration–time curves derived from ΔR2* signals at four different regions-of-interest (ROIs). Qualitative assessment of the derived CBV maps was also performed independently by 2 neuroradiologists.

Results

No qualitative or quantitative differences between the two GBCAs were observed when administered at a flow rate of 4 mL/s. At a flow rate of 6 mL/s, gadoteridol showed lower FWHM values.

Conclusion

Gadobutrol and gadoteridol are equivalent for clinical assessment of qualitative CBV maps and quantitative perfusion parameters (FHWM) at a flow rate of 4 mL/s. At 6 mL/s, gadoteridol produces a narrower bolus shape and potentially improves quantitative assessment of perfusion parameters.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Abbreviations

DSC:

Dynamic susceptibility contrast

PWI:

Perfusion-weighted imaging

GBCA:

Gadolinium-based contrast agent

AUC:

Area under the curve

FWHM:

Full-width at half-maximum

References

  1. Cha S (2003) Perfusion MR imaging: basic principles and clinical applications. Magn Reson Imaging Clin N Am 11:403–413. https://doi.org/10.1016/S1064-9689(03)00066-7

    Article  PubMed  Google Scholar 

  2. Aronen HJ, Gazit IE, Louis DN et al (1994) Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings. Radiology 191:41–51. https://doi.org/10.1148/radiology.191.1.8134596

    Article  CAS  PubMed  Google Scholar 

  3. Knopp EA, Cha S, Johnson G et al (1999) Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging. Radiology 211:791–798. https://doi.org/10.1148/radiology.211.3.r99jn46791

    Article  CAS  PubMed  Google Scholar 

  4. Caulo M, Panara V, Tortora D et al (2014) Data driven grading of brain gliomas: a multiparametric MRI study. Radiology 272:494–503. https://doi.org/10.1148/radiol.14132040

    Article  PubMed  Google Scholar 

  5. Santarosa C, Castellano A, Conte GM et al (2016) Dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging for glioma grading: preliminary comparison of vessel compartment and permeability parameters using hotspot and histogram analysis. Eur J Radiol 85(6):1147–1156. https://doi.org/10.1016/j.ejrad.2016.03.020

    Article  PubMed  Google Scholar 

  6. Anzalone N, Castellano A, Cadioli M et al (2018) Brain gliomas: multicenter standardized assessment of dynamic contrast-enhanced and dynamic susceptibility contrast MR images. Radiology 287(3):933–943. https://doi.org/10.1148/radiol.2017170362

    Article  PubMed  Google Scholar 

  7. Schmainda KM, Zhang Z, Prah M et al (2015) Dynamic susceptibility contrast MRI measures of relative cerebral blood volume as a prognostic marker for overall survival in recurrent glioblastoma: results from the ACRIN 6677/RTOG 0625 multicenter trial. Neuro Oncol 17:1148–1156. https://doi.org/10.1093/neuonc/nou364

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Rosen BR, Belliveau JW, Aronen HJ et al (1991) Susceptibility contrast imaging of cerebral blood volume: human experience. Magn Reson Med 22:293–299. https://doi.org/10.1002/mrm.1910220227

    Article  CAS  PubMed  Google Scholar 

  9. Griffiths PD, Wilkinson ID, Wels T et al (2001) Brain MR perfusion imaging in humans: advantages of high-molarity gadolinium chelates. Acta Radiol 42:555–559

    CAS  PubMed  Google Scholar 

  10. Heiland S, Erb G, Ziegler S, Krix M (2010) Where contrast agent concentration really matters – a comparison of CT and MRI. Invest Radiol 45:529–537. https://doi.org/10.1097/RLI.0b013e3181ea703d

    Article  PubMed  Google Scholar 

  11. Thilmann O, Larsson EM, Bjorkman-Burtscher IM, Stahlberg F, Wirestam R (2005) Comparison of contrast agents with high molarity and with weak protein binding in cerebral perfusion imaging at 3T. J Magn Reson Imaging 22:597–604. https://doi.org/10.1002/jmri.20420

    Article  PubMed  Google Scholar 

  12. Kopka L, Vosshenrich R, Rodenwaldt J et al (1998) Differences in injection rates on contrast-enhanced breath-hold three-dimensional MR angiography. Am J Roentgenol 170:345–348. https://doi.org/10.2214/ajr.170.2.9456943

    Article  CAS  Google Scholar 

  13. Kramer H, Michaely HJ, Requardt M et al (2007) Effects of injection rate and dose on image quality in time-resolved magnetic resonance angiography (MRA) by using 1.0M contrast agents. Eur Radiol 17:1394–1402

    Article  Google Scholar 

  14. Madsen MT (1992) A simplified formulation of the gamma variate function. Phys. Med Biol 37:1597–1600

    Article  Google Scholar 

  15. Crisi G, Filice S, Erb G, Bozzetti F (2017) Effectiveness of a high relaxivity contrast agent administered at half dose in dynamic susceptibility contrast MRI of brain gliomas. J Magn Reson Imaging 45:500–506. https://doi.org/10.1002/jmri.25370

    Article  PubMed  Google Scholar 

  16. Yamada M, Taoka T, Kawaguchi A et al (2019) Inter-individual comparison of gadobutrol and gadoteridol tissue time-intensity profiles for dynamic susceptibility contrast perfusion MR imaging. Magn Reson Med Sci 18:75–81. https://doi.org/10.2463/mrms.mp.2017-0172

    Article  CAS  PubMed  Google Scholar 

  17. ACR–ASNR–SPR practice parameter for the performance of intracranial magnetic resonance perfusion imaging. Revised 2017 Available at: https://www.acr.org/-/media/ACR/Files/Practice-Parameters/MR-Perfusion.pdf

  18. Wintermark M, Sesay M, Barbier E et al (2005) Comparative overview of brain perfusion imaging techniques. Stroke 36:e83–e99. https://doi.org/10.1161/01.STR.0000177884.72657.8b

    Article  PubMed  Google Scholar 

  19. Maravilla KR, Smith MP, Vymazal J et al (2015) Are there differences between macrocyclic gadolinium contrast agents for brain tumor imaging? Results of a multicenter intraindividual crossover comparison of gadobutrol with gadoteridol (the TRUTH study). AJNR 36(1):14–23. https://doi.org/10.3174/ajnr.A4154

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Shen Y, Goerner FL, Snyder C, et al. (2015) T1 relaxivities of gadolinium-based magnetic resonance contrast agents in human whole blood at 1.5, 3, and 7 T. Invest Radiol. 50(5):330–8. https://doi.org/10.1097/RLI.0000000000000132

Download references

Funding

No funding was received for this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Valentina Panara.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in the studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Panara, V., Chiacchiaretta, P., Rapino, M. et al. Dynamic susceptibility MR perfusion imaging of the brain: not a question of contrast agent molarity. Neuroradiology 64, 685–692 (2022). https://doi.org/10.1007/s00234-021-02807-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00234-021-02807-7

Keywords

Navigation