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). (c) RSNA, 2007.
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). (c) RSNA, 2007.
Authors: Christopher M Ferguson; Alfonso Eirin; Gregory J Michalak; Ahmad F Hedayat; Abdelrhman M Abumoawad; Ahmed Saad; Xiangyang Zhu; Stephen C Textor; Cynthia H McCollough; Lilach O Lerman Journal: Acad Radiol Date: 2019-01-14 Impact factor: 3.173
Authors: In O Sun; Adrian Santelli; Abdelrhman Abumoawad; Alfonso Eirin; Christopher M Ferguson; John R Woollard; Amir Lerman; Stephen C Textor; Amrutesh S Puranik; Lilach O Lerman Journal: Hypertension Date: 2018-11 Impact factor: 10.190
Authors: Christopher M Ferguson; Alfonso Eirin; Gregory J Michalak; Ahmad F Hedayat; Abdelrhman Abumoawad; Ahmed Saad; Xiangyang Zhu; Stephen C Textor; Cynthia H McCollough; Lilach O Lerman Journal: J Cardiovasc Comput Tomogr Date: 2018-01-10
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Authors: Soon Hyo Kwon; John R Woollard; Ahmed Saad; Vesna D Garovic; Ladan Zand; Kyra L Jordan; Stephen C Textor; Lilach O Lerman Journal: Nephrol Dial Transplant Date: 2017-05-01 Impact factor: 5.992