68Ga-EDTA PET/CT imaging and plasma clearance for glomerular filtration rate quantification: comparison to conventional 51Cr-EDTA.

J Nucl Med

Centre for Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Australia Department of Medicine, University of Melbourne, Melbourne, Australia.

Published: March 2015

AI Article Synopsis

  • The study explores the accuracy of glomerular filtration rate (GFR) measurement using (68)Ga-EDTA in comparison to the traditional (51)Cr-EDTA method, highlighting the benefits of PET/CT imaging for easier access and quick assessments.
  • 31 patients received both (68)Ga-EDTA and (51)Cr-EDTA injections, and the results showed strong agreement between the two methods, with a Pearson correlation coefficient of 0.94.
  • The research concludes that (68)Ga-EDTA can effectively estimate GFR, indicating that PET imaging may replace the need for more complex plasma sampling procedures.

Article Abstract

Unlabelled: Glomerular filtration rate (GFR) can accurately be determined using (51)Cr-ethylenediaminetetraacetic acid (EDTA) plasma clearance counting but is time-consuming and requires technical skills and equipment not always available in imaging departments. (68)Ga-EDTA can be readily available using an onsite generator, and PET/CT enables both imaging of renal function and accurate camera-based quantitation of clearance of activity from blood and its appearance in the urine. This study aimed to assess agreement between (68)Ga-EDTA GFR ((68)Ga-GFR) and (51)Cr-EDTA GFR ((51)Cr-GFR), using serial plasma sampling and PET imaging.

Methods: (68)Ga-EDTA and (51)Cr-EDTA were injected concurrently in 31 patients. Dynamic PET/CT encompassing the kidneys was acquired for 10 min followed by 3 sequential 3-min multibed step acquisitions from kidneys to bladder. PET quantification was performed using renal activity at 1-2 min (PETinitial), renal excretion at 2-10 min (PETearly), and, subsequently, urinary excretion into the collecting system and bladder (PETlate). Plasma sampling at 2, 3, and 4 h was performed, with (68)Ga followed by (51)Cr counting after positron decay. The level of agreement for GFR determination was calculated using a Bland-Altman plot and Pearson correlation coefficient (PCC).

Results: (51)Cr-GFR ranged from 10 to 220 mL/min (mean, 85 mL/min). There was good agreement between (68)Ga-GFR and (51)Cr-GFR using serial plasma sampling, with a Bland-Altman bias of -14 ± 20 mL/min and a PCC of 0.94 (95% confidence interval, 0.88-0.97). Of the 3 methods used for camera-based quantification, the strongest correlation was for plasma sampling-derived GFR with PETlate (PCC of 0.90; 95% confidence interval, 0.80-0.95).

Conclusion: (68)Ga-GFR agreed well with (51)Cr-GFR for estimation of GFR using serial plasma counting. PET dynamic imaging provides a method to estimate GFR without plasma sampling, with the additional advantage of enabling renal imaging in a single study. Additional validation in a larger cohort is warranted to further assess utility.

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Source
http://dx.doi.org/10.2967/jnumed.114.147843DOI Listing

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