Comparison of mathematic models for assessment of glomerular filtration rate with electron-beam CT in pigs

Elena Daghini, Laurent Juillard, John A. Haas, James D. Krier, Juan C. Romero, Lilach O. Lerman

Research output: Contribution to journalArticlepeer-review

44 Scopus citations


Purpose: To prospectively compare in pigs three mathematic models for assessment of glomerular filtration rate (GFR) on electron-beam (EB) computed tomographic (CT) images, with concurrent inulin clearance serving, as the reference. standard. Materials and Methods: This study was approved by the institutional animal care and use committee. Inulin clearance was measured in nine pigs (18 kidneys) and compared with single-kidney GFR assessed from renal time-attenuation curves (TACs) obtained with EB CT before and after infusion of the vasodilator acetylcholine. CT-derived GFR was calculated with the original and modified Patlak methods and with previously validated extended gamma variate modeling of first-pass cortical TACs. Statistical analysis was performed to assess correlation between CT methods and inulin clearance for estimation of GFR with least-squares regression analysis and Bland-Altman graphical representation. Comparisons within groups were performed with a paired t test. Results: GFR assessed with the original Patlak method indicated poor correlation with inulin clearance, whereas GFR assessed with the modified Patlak method (P < .001, r = 0.75) and with gamma variate modeling (P < .001, r = 0.79) correlated significantly with inulin clearance and indicated an increase in response to acetylcholine. Conclusion: CT-derived estimates of GFR can be significantly improved, by modifications in image analysis methods (eg, use of a cortical region of interest).

Original languageEnglish (US)
Pages (from-to)417-424
Number of pages8
Issue number2
StatePublished - Feb 2007

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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