The accuracy of quantitative parameters in (99m) Tc-MAG3 dynamic renography: a national audit based on virtual image data.

Research output: Contribution to journalArticle


Assessment of image analysis methods and computer software used in (99m) Tc-MAG3 dynamic renography is important to ensure reliable study results and ultimately the best possible care for patients. In this work, we present a national multicentre study of the quantification accuracy in (99m) Tc-MAG3 renography, utilizing virtual dynamic scintigraphic data obtained by Monte Carlo-simulated scintillation camera imaging of digital phantoms with time-varying activity distributions. Three digital phantom studies were distributed to the participating departments, and quantitative evaluation was performed with standard clinical software according to local routines. The differential renal function (DRF) and time to maximum renal activity (Tmax ) were reported by 21 of the 28 Swedish departments performing (99m) Tc-MAG3 studies as of 2012. The reported DRF estimates showed a significantly lower precision for the phantom with impaired renal uptake than for the phantom with normal uptake. The Tmax estimates showed a similar trend, but the difference was only significant for the right kidney. There was a significant bias in the measured DRF for all phantoms caused by different positions of the left and right kidney in the anterior-posterior direction. In conclusion, this study shows that virtual scintigraphic studies are applicable for quality assurance and that there is a considerable uncertainty associated with standard quantitative parameters in dynamic (99m) Tc-MAG3 renography, especially for patients with impaired renal function.


  • Gustav Brolin
  • Lars Edenbrandt
  • Göran Granerus
  • Anna Olsson
  • David Afzelius
  • Agneta Gustafsson
  • Cathrine Jonsson
  • Jessica Hagerman
  • Lena Johansson
  • Katrine Riklund
  • Michael Ljungberg
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Physiology
Original languageEnglish
JournalClinical Physiology and Functional Imaging
Early online date2014 Oct 28
Publication statusPublished - 2014
Publication categoryResearch

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